Metok,located in Nyingchi,the Xizang Autonomous Region,is known as the last county in China to be connected by road.Poor transportation and limited access to petroleum were two obstacles to its development.As soon as ...Metok,located in Nyingchi,the Xizang Autonomous Region,is known as the last county in China to be connected by road.Poor transportation and limited access to petroleum were two obstacles to its development.As soon as the highway connecting Metok and the outside world was completed in 2014,China National Petroleum Corporation’s(CNPC)first gas station in the county was put into operation,providing the momentum for this"secret land of Lotus"and helping it embark on a journey toward openness and prosperity.展开更多
Aerodynamic research on road cars was reviewed in this work under the thread of reducing drag,with the awareness that this may succeed in effectively decreasing the carbon footprint of transportation.First,a selection...Aerodynamic research on road cars was reviewed in this work under the thread of reducing drag,with the awareness that this may succeed in effectively decreasing the carbon footprint of transportation.First,a selection of studies was presented to focus on the most important aerodynamic features of the flow around realistic car body shapes.Then,the discussion was organized around three pillars related to passive flow control,active flow control and active aerodynamics.Both experimental and numerical investigations were included to provide a comprehensive overview.A clear distinction was made between simplified and realistic car models,as well as production vehicles(within the limits of restricted access information).Moreover,a short essay was dedicated to electric vehicles,for which aerodynamics matters,especially at highway speeds.Last,the impact of aerodynamic principles on the design of current and future vehicle fleet was assessed,honestly admitting that recent market trends must be reversed to turn decarbonization goals into reality and damp the effects of global warming.展开更多
Global climate change is intensifying the impact of slope hazards,particularly rainfall-induced landslide hazards(RILH),on mountain road networks(MRNs).However,effective quantitative models for dynamically assessing M...Global climate change is intensifying the impact of slope hazards,particularly rainfall-induced landslide hazards(RILH),on mountain road networks(MRNs).However,effective quantitative models for dynamically assessing MRNs vulnerability under RILH disturbances are still lacking.To bridge this gap,this study develops a Cascading Failure Model for Rainfall-Induced Landslide Hazard(CFM-RILH).Validation via a case study of the GarzêTibetan Autonomous Prefecture Road Network(GTPRNs)reveals key characteristics of MRNs system vulnerability under RILH disturbances:(1)Under the disturbance effects of RILH,the vulnerability of the MRNs system follows a nonlinear phase transition law that intensifies with increasing disturbance intensity,exhibiting a distinct critical threshold.When the disturbance intensity exceeds this threshold,the system undergoes a global cascading failure phenomenon analogous to an“avalanche.”(2)Under RILH disturbances,the robustness of the MRNs system possesses a distinct safety boundary.Exceeding this boundary not only fails to improve hazard resistance but instead substantially elevates the risk of large-scale cascading failure.(3)Increasing network redundancy may be considered one of the primary engineering measures for enhancing MRNs resilience against such disturbances.Based on these findings,we propose a“Two-Stage Emergency Response and Hierarchical Fortification”strategy specifically to improve the resilience of GTPRNs impacted by RILH.The CFM-RILH model provides an effective tool for assessing road network vulnerability under such hazards.Furthermore,its modeling framework can also inform vulnerability assessment and resilience strategy development for road networks affected by other types of slope hazards.展开更多
International investment constitutes a key dimension of high-quality cooperation under the Belt and Road Initiative.However,affected by unilateralism,protectionist measures,and growing regulatory uncertainty,it faces ...International investment constitutes a key dimension of high-quality cooperation under the Belt and Road Initiative.However,affected by unilateralism,protectionist measures,and growing regulatory uncertainty,it faces increasingly complex and diverse risks.Deepening the rule of law cooperation based on an international order governed by international law is not only a fundamental way to mitigate investment risks associated with the Belt and Road Initiative but also an essential requirement for building a more just and reasonable system of global economic governance.At present,investment rule of law cooperation under the Belt and Road Initiative faces three main challenges:limited legal cooperation capacity among some participating countries at the subject level,insufficient coordination between hard law and soft law at the normative level,and relatively weak regional enforcement and dispute-prevention mechanisms at the implementation level.To advance regional investment rule of law cooperation and promote the high-quality development of the Belt and Road Initiative,China should foster consultative governance on investment rule of law cooperation among partner countries,comprehensively upgrade hard law and soft law instruments regulating investment,and strengthen enforcement and dispute settlement capacity,thereby contributing a more just,reasonable,and inclusive model of investment governance to the world.展开更多
In recent years,advancements in autonomous vehicle technology have accelerated,promising safer and more efficient transportation systems.However,achieving fully autonomous driving in challenging weather conditions,par...In recent years,advancements in autonomous vehicle technology have accelerated,promising safer and more efficient transportation systems.However,achieving fully autonomous driving in challenging weather conditions,particularly in snowy environments,remains a challenge.Snow-covered roads introduce unpredictable surface conditions,occlusions,and reduced visibility,that require robust and adaptive path detection algorithms.This paper presents an enhanced road detection framework for snowy environments,leveraging Simple Framework forContrastive Learning of Visual Representations(SimCLR)for Self-Supervised pretraining,hyperparameter optimization,and uncertainty-aware object detection to improve the performance of YouOnly Look Once version 8(YOLOv8).Themodel is trained and evaluated on a custom-built dataset collected from snowy roads in Tromsø,Norway,which covers a range of snow textures,illumination conditions,and road geometries.The proposed framework achieves scores in terms of mAP@50 equal to 99%and mAP@50–95 equal to 97%,demonstrating the effectiveness of YOLOv8 for real-time road detection in extreme winter conditions.The findings contribute to the safe and reliable deployment of autonomous vehicles in Arctic environments,enabling robust decision-making in hazardous weather conditions.This research lays the groundwork for more resilient perceptionmodels in self-driving systems,paving the way for the future development of intelligent and adaptive transportation networks.展开更多
Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process to present a novel...Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process to present a novel traffic modelling framework for aggregate traffic on urban roads. The main idea is that road traffic flow is random, even for the recurrent flow, such as rush hour traffic, which is predisposed to congestion. Therefore, the structure of the aggregate traffic flow model for urban roads should correlate well with the essential variables of the observed random dynamics of the traffic flow phenomena. The novelty of this paper is the developed framework, based on the Poisson process, the kinematics of urban road traffic flow, and the intermediate modelling approach, which were combined to formulate the model. Empirical data from an urban road in Ghana was used to explore the model’s fidelity. The results show that the distribution from the model correlates well with that of the empirical traffic, providing a strong validation of the new framework and instilling confidence in its potential for significantly improved forecasts and, hence, a more hopeful outlook for real-world traffic management.展开更多
The real-time path optimization for heterogeneous vehicle fleets in large-scale road networks presents significant challenges due to conflicting traffic demands and imbalanced resource allocation.While existing vehicl...The real-time path optimization for heterogeneous vehicle fleets in large-scale road networks presents significant challenges due to conflicting traffic demands and imbalanced resource allocation.While existing vehicleto-infrastructure coordination frameworks partially address congestion mitigation,they often neglect priority-aware optimization and exhibit algorithmic bias toward dominant vehicle classes—critical limitations in mixed-priority scenarios involving emergency vehicles.To bridge this gap,this study proposes a preference game-theoretic coordination framework with adaptive strategy transfer protocol,explicitly balancing system-wide efficiency(measured by network throughput)with priority vehicle rights protection(quantified via time-sensitive utility functions).The approach innovatively combines(1)a multi-vehicle dynamic routing model with quantifiable preference weights,and(2)a distributed Nash equilibrium solver updated using replicator sub-dynamic models.The framework was evaluated on an urban road network containing 25 intersections with mixed priority ratios(10%–30%of vehicles with priority access demand),and the framework showed consistent benefits on four benchmarks(Social routing algorithm,Shortest path algorithm,The comprehensive path optimisation model,The emergency vehicle timing collaborative evolution path optimization method)showed consistent benefits.Results showthat across different traffic demand configurations,the proposed method reduces the average vehicle traveling time by at least 365 s,increases the road network throughput by 48.61%,and effectively balances the road loads.This approach successfully meets the diverse traffic demands of various vehicle types while optimizing road resource allocations.The proposed coordination paradigm advances theoretical foundations for fairness-aware traffic optimization while offering implementable strategies for next-generation cooperative vehicle-road systems,particularly in smart city deployments requiring mixed-priority mobility guarantees.展开更多
Road infrastructure is facing significant digitalization challenges within the context of new infrastructure construction in China and worldwide.Among the advanced digital technologies,digital twin(DT)has gained promi...Road infrastructure is facing significant digitalization challenges within the context of new infrastructure construction in China and worldwide.Among the advanced digital technologies,digital twin(DT)has gained prominence across various engineering sectors,including the manufacturing and construction industries.Specifically,road engineering has demonstrated a growing interest in DT and has achieved promising results in DT-related applications over the past several years.This paper systematically introduces the development of DT and examines its current state in road engineering by reviewing research articles on DT-enabling technologies,such as model creation,condition sensing,data processing,and interaction,as well as its applications throughout the lifecycle of road infrastructure.The findings indicate that research has primarily focused on data perception and virtual model creation,while realtime data processing and interaction between physical and virtual models remain underexplored.DT in road engineering has been predominantly applied during the operation and maintenance phases,with limited attention given to the construction and demolition phases.Future efforts should focus on establishing uniform standards,developing innovative perception and data interaction techniques,optimizing development costs,and expanding the scope of lifecycle applications to facilitate the digital transformation of road engineering.This review provides a comprehensive overview of state-of-the-art advancements in this field and paves the way for leveraging DT in road infrastructure lifecycle management.展开更多
Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,th...Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,this paper analyzes the influencing factors of China's cross-border e-commerce exports to countries along the“Belt and Road”by constructing an econometric model.The study found that factors such as the perfection of digital infrastructure,the efficiency of logistics and transportation,the convenience of payment and settlement,and the penetration rate of consumers online shopping significantly affect the export scale of cross-border e-commerce.Institutional factors such as the development level of e-commerce platforms in countries along the route,market access thresholds,and tariff policies also play an important role.Based on the research results,suggestions are put forward to strengthen the construction of cross-border payment system,optimize the logistics distribution network,promote customs clearance facilitation,and deepen cooperation in the field of e-commerce,to provide references for promoting the development of China's crossborder e-commerce exports to countries along the“Belt and Road.”展开更多
Vegetation plays a major role in soil protection against erosion effects,and studies have also highlighted its importance in retaining sediments from roadside slopes.Yet,hydro-sedimentological studies under natural pr...Vegetation plays a major role in soil protection against erosion effects,and studies have also highlighted its importance in retaining sediments from roadside slopes.Yet,hydro-sedimentological studies under natural precipitation conditions are still scarce in semi-arid areas due to difficulties in monitoring the few and very concentrated precipitation events.Quantifying sediment connectivity and yield at watershed scale,often highly impacted by the erosion of unpaved roads,is necessary for management plans.This study aims to evaluate the efficiency of native vegetation on roadside slope segments in Caatinga biome in retaining sediments and conserving the soil in a semi-arid area of Brazil.Surface runoff,sediment concentration,and yield measurements were measured from 34 natural precipitation events in four years on two slopes with and without vegetation.The runoff coefficients of the plot with no vegetation varied from 3.0%to 58.0%,while in the vegetated plot,they showed variation from 1.0%to 21.0%.The annual specific sediment yield ranged from 4.6 to 138.7 kg/(hm^(2)•a)for the vegetated plot and from 34.9 to 608.5 kg/(hm^(2)•a)for the unvegetated one.These results indicate a 4 to 12 times higher soil loss on the unvegetated slope in relation to the vegetated one and demonstrate that natural Caatinga vegetation acts as an effective barrier against surface-transported sediments.Moreover,natural Caatinga vegetation present on the slope plays an important role in breaking connectivity between sediment flows from unpaved roads and the watershed drainage system.These findings indicate that investments in unpaved road and roadside slope restoration,not only enhance road infrastructure but also promote environmental gains by reducing the impact of erosion.展开更多
Road condition assessment involves evaluating the physical state of roadways to determine necessary maintenance and rehabilitation,while traffic assessment focuses on analyzing vehicle flow patterns to improve traffic...Road condition assessment involves evaluating the physical state of roadways to determine necessary maintenance and rehabilitation,while traffic assessment focuses on analyzing vehicle flow patterns to improve traffic management.This study employs Geographic Information Systems(GIS)to assess and evaluate road conditions and traffic dynamics in the ruralmunicipality ofOdiongan,Romblon,Philippines.GISmapping enabled a spatially detailed classification of road conditions,identifying areas categorized as excellent,good,fair,or poor,and highlighted sections requiring maintenance or rehabilitation.These assessments are crucial for enhancing the transportation framework amid escalating developmental and demographic demands.Concurrently,GIS was used to visualize and analyze traffic composition and flow,with the study measuring the Level of Service(LOS)for traffic,emphasizing vehicle composition during peak and off-peak periods.Findings revealed amix of good to fair road conditions across most ofOdiongan,with twelve(12)barangays suffering from poor conditions necessitating rehabilitation.Traffic composition was dominated by motorcycles and tricycles,experiencing a significant uptick in volume during peak hours.The GIS-based evaluation pointed out an unsatisfactory LOS(ranging from C to F)at all stations,underscoring the need for enhanced signalization and intersection upgrades.By leveraging GIS to provide a comprehensive understanding of road and traffic conditions,this study lays the groundwork for an integrated transportationmanagement plan to bolster the efficiency and safety of the municipality’s transportation network amidst ongoing rural development.展开更多
For the people of Masaka,Kabuga and Muyumbu in Rwanda,the daily commute often takes longer than it should.A stretch of just 10 km along the Prince House-Giporoso-Masaka road can take half an hour during peak hours.The...For the people of Masaka,Kabuga and Muyumbu in Rwanda,the daily commute often takes longer than it should.A stretch of just 10 km along the Prince House-Giporoso-Masaka road can take half an hour during peak hours.The narrow two-lane artery,clogged with long-haul trucks from the Rwanda-Tanzania border and commuter traffic,has long tested the patience of drivers and pedestrians alike.In May,a long-awaited announcement finally arrived.Rwanda’s Ministry of Infrastructure confirmed plans to expand the road from two lanes to four,adding a 1.2-km flyover at Giporoso-Remera and an underpass to keep tra"c flowing smoothly.The$60.5 million(Rwf86 billion)project will be fully funded by China,a testament to the deepening friendship and cooperation between the two nations.For many residents,it signals the end of years of lost time and daily frustration.展开更多
Road Traffic Accidents(RTAs)pose significant threats to public safety and urban infrastructure.While numerous studies have addressed this issue in other countries,there remains a notable gap in localized RTA research ...Road Traffic Accidents(RTAs)pose significant threats to public safety and urban infrastructure.While numerous studies have addressed this issue in other countries,there remains a notable gap in localized RTA research in Sri Lanka.In this context,the present study investigates the spatial and temporal patterns of RTAs in theMatara urban area in 2023,with the goal of supporting evidence-based policy interventions.A suite of GIS-based spatial analysis techniques including hotspot analysis,kernel density estimation,GiZ score mapping,and spatial autocorrelation(Moran’s I=0.36,p<0.01)was applied to examine the distribution and contributing factors of RTAs.The results identified several high-risk zones,particularly along the Colombo-Wellawaya main road,as well as near the southern expressway exit,and around Rahula Junction,which collectively accounted for over 40% of all recorded accidents.These areas are characterized by high traffic volumes,complex road geometries,and significant pedestrian activity.Driverrelated behaviors were dominant causes,with negligence accounting for 57% of accidents,aggressive driving for 14%,and alcohol influence for 8%.Temporally,the highest incidence of RTAs(38%)was recorded during the afternoon peak hours(11:00 a.m.to 4:59 p.m.).Based on these findings,targeted policy measures such as enhanced traffic enforcement,infrastructure redesign,and public awareness campaigns are recommended to reduce accident frequency and improve road safety in high-risk areas.This study provides a localized,data-driven framework that can guide urban traffic planning and safety interventions in Matara and similar urban settings.展开更多
In the 12 years since the Belt and Road Initiative was first proposed,many Chinese enterprises have made fruitful achievements in the participating countries of the Belt and Road Initiative.
1 Researchers have discovered the remains of ancient cities located above the ancient Silk Road in the rocky mountains of southeastern Uzbekistan.The groundbreaking discovery,made possible by new drone‑based lidar(激...1 Researchers have discovered the remains of ancient cities located above the ancient Silk Road in the rocky mountains of southeastern Uzbekistan.The groundbreaking discovery,made possible by new drone‑based lidar(激光雷达)technology,challenges long‑held assumptions that urban life was rarely seen in the remote mountains of Central Asia.展开更多
On the afternoon of May 30,the parallel forum"Global Dialogue on Civilisational Inheritance and the Digital Silk Road,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was hel...On the afternoon of May 30,the parallel forum"Global Dialogue on Civilisational Inheritance and the Digital Silk Road,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Dunhuang.The forum focused on key areas of Silk Road civilisation studies in the new era under the theme"Carrying Forward the Silk Road Spirit and Pooling Strength for the Implementation of the Global Civilisation Initiative."Discussions centred on topics such as humanistic research on the Digital Silk Road,translation studies of cultural heritage,and archaeological studies of Silk Road sites,providing a platform for experts and scholars to exchange ideas and share achievements,and working to build a strong synergy for exchanges and mutual learning among civilisations.展开更多
On the morning of January 15,the China-Laos Cultural Road Dialogue took place in Vientiane,Laos.A ceremony was held during the event to release the January 2025 special editions of China Report ASEAN(an English journa...On the morning of January 15,the China-Laos Cultural Road Dialogue took place in Vientiane,Laos.A ceremony was held during the event to release the January 2025 special editions of China Report ASEAN(an English journal)and Champa(a Chinese-Lao bilingual journal named after the national flower of Laos which is considered a symbol of sincerity and joy).Part of the 2025“One River,One Family”Spring Festival cultural series in Laos,the event was supervised by China International Communications Group(CICG),the Chinese Embassy in Laos,and China State Railway Group Company,hosted by the Publicity Department of the CPC Yunnan Provincial Committee and the Publicity Department of the Central Committee of the Lao People’s Revolutionary Party(LPRP),and organized by CICG Asia-Pacific,Yunnan Daily,Yunnan International Communication Center for South and Southeast Asia,Pasaxon(“The People”newspaper in Laos),and China Railway Kunming Group.展开更多
Since ancient times,China and Iran,two ancient civilizations with profound medical traditions,have engaged in extensive medical interactions through trade and cultural exchange channels,such as the Silk Road.The paper...Since ancient times,China and Iran,two ancient civilizations with profound medical traditions,have engaged in extensive medical interactions through trade and cultural exchange channels,such as the Silk Road.The paper first reviews the emergence of medical exchanges between the two countries during the Han dynasty,then elaborates on the in-depth development of medical exchanges from the Three Kingdoms to the eve of the Tang dynasty.Entering the Song and Yuan dynasties,the medical exchanges between the two countries became more specific,involving the translation and dissemination of medical classics,the exchanges between doctors,and the trade and cultivation of medicinal materials.The paper further examines the new opportunities and challenges presented by traditional medical exchanges between the two countries under the Belt and Road Initiative.It emphasizes the contribution of this cross-civilization medical exchange to the development of the medical systems of both sides and to human health.This article reveals its far-reaching significance by systematically examining the historical context of medical exchanges between the two countries.It provides historical references and inspiration for future in-depth cooperation between the two countries in traditional medicine.展开更多
Since its inception,the Belt and Road Initiative(BRI)has emerged as a global platform for international cooperation,with infrastructure connectivity at its core.Infrastructure,often referred to as the“lifeblood”of e...Since its inception,the Belt and Road Initiative(BRI)has emerged as a global platform for international cooperation,with infrastructure connectivity at its core.Infrastructure,often referred to as the“lifeblood”of economic and social development,plays a pivotal role in breaking bottlenecks,bridging regional gaps,and driving inclusive growth-particularly in developing regions where inadequate infrastructure has long hindered progress.展开更多
This study aims to explore the feasibility of conducting supervised classification of road barriers in a practical context through the utilization of diverse data collection methods.These methods encompass acceleromet...This study aims to explore the feasibility of conducting supervised classification of road barriers in a practical context through the utilization of diverse data collection methods.These methods encompass accelerometer,ultrasonic,GPS,and real-time clock sensors,which collectively contribute to a comprehensive analysis of the subject matter.This study primarily focuses on the highways of India,along with urban and semi-urban areas,as its central subject of investigation.In order to facilitate the collection of data from these sensors,a mobile application referred to as DC has been meticulously developed.In this study,the data collected from the sensors undergo a transformation process to create a fuzzy dataset.This is achieved through the application of min-max normalization followed by fuzzification techniques.A variety of methodologies for measuring distance have been established,each aimed at achieving optimal classification outcomes.One of the primary objectives is to establish comprehensive standards for assessing the condition of roadways,considering a multitude of factors,including the overall length of the road and the extent of any damage present.This study conducts a comprehensive comparative analysis of all distance metrics employed for the classification of road impediments.The findings reveal promising results regarding accuracy,demonstrating an approximate range between 98%and 99%.Furthermore,to facilitate the observation of outcomes in real time,a visualization tool is currently under development.This tool aims to display road obstructions on maps,enhancing the user's ability to navigate and understand the current traffic conditions effectively.展开更多
文摘Metok,located in Nyingchi,the Xizang Autonomous Region,is known as the last county in China to be connected by road.Poor transportation and limited access to petroleum were two obstacles to its development.As soon as the highway connecting Metok and the outside world was completed in 2014,China National Petroleum Corporation’s(CNPC)first gas station in the county was put into operation,providing the momentum for this"secret land of Lotus"and helping it embark on a journey toward openness and prosperity.
文摘Aerodynamic research on road cars was reviewed in this work under the thread of reducing drag,with the awareness that this may succeed in effectively decreasing the carbon footprint of transportation.First,a selection of studies was presented to focus on the most important aerodynamic features of the flow around realistic car body shapes.Then,the discussion was organized around three pillars related to passive flow control,active flow control and active aerodynamics.Both experimental and numerical investigations were included to provide a comprehensive overview.A clear distinction was made between simplified and realistic car models,as well as production vehicles(within the limits of restricted access information).Moreover,a short essay was dedicated to electric vehicles,for which aerodynamics matters,especially at highway speeds.Last,the impact of aerodynamic principles on the design of current and future vehicle fleet was assessed,honestly admitting that recent market trends must be reversed to turn decarbonization goals into reality and damp the effects of global warming.
基金financially supported by the National Key R&D Program of China(2024YFE0111900)The National Natural Science Foundation of China(U2468214,52378370,52278372)+1 种基金The National Ten Thousand Talent Program for Young Top-notch Talents(2022QB04978)The Science and Technology Program of Hebei Province(2023HBQZYCSB004)。
文摘Global climate change is intensifying the impact of slope hazards,particularly rainfall-induced landslide hazards(RILH),on mountain road networks(MRNs).However,effective quantitative models for dynamically assessing MRNs vulnerability under RILH disturbances are still lacking.To bridge this gap,this study develops a Cascading Failure Model for Rainfall-Induced Landslide Hazard(CFM-RILH).Validation via a case study of the GarzêTibetan Autonomous Prefecture Road Network(GTPRNs)reveals key characteristics of MRNs system vulnerability under RILH disturbances:(1)Under the disturbance effects of RILH,the vulnerability of the MRNs system follows a nonlinear phase transition law that intensifies with increasing disturbance intensity,exhibiting a distinct critical threshold.When the disturbance intensity exceeds this threshold,the system undergoes a global cascading failure phenomenon analogous to an“avalanche.”(2)Under RILH disturbances,the robustness of the MRNs system possesses a distinct safety boundary.Exceeding this boundary not only fails to improve hazard resistance but instead substantially elevates the risk of large-scale cascading failure.(3)Increasing network redundancy may be considered one of the primary engineering measures for enhancing MRNs resilience against such disturbances.Based on these findings,we propose a“Two-Stage Emergency Response and Hierarchical Fortification”strategy specifically to improve the resilience of GTPRNs impacted by RILH.The CFM-RILH model provides an effective tool for assessing road network vulnerability under such hazards.Furthermore,its modeling framework can also inform vulnerability assessment and resilience strategy development for road networks affected by other types of slope hazards.
基金funded by the National Social Science Fund of China(Grant No.20CFX083)。
文摘International investment constitutes a key dimension of high-quality cooperation under the Belt and Road Initiative.However,affected by unilateralism,protectionist measures,and growing regulatory uncertainty,it faces increasingly complex and diverse risks.Deepening the rule of law cooperation based on an international order governed by international law is not only a fundamental way to mitigate investment risks associated with the Belt and Road Initiative but also an essential requirement for building a more just and reasonable system of global economic governance.At present,investment rule of law cooperation under the Belt and Road Initiative faces three main challenges:limited legal cooperation capacity among some participating countries at the subject level,insufficient coordination between hard law and soft law at the normative level,and relatively weak regional enforcement and dispute-prevention mechanisms at the implementation level.To advance regional investment rule of law cooperation and promote the high-quality development of the Belt and Road Initiative,China should foster consultative governance on investment rule of law cooperation among partner countries,comprehensively upgrade hard law and soft law instruments regulating investment,and strengthen enforcement and dispute settlement capacity,thereby contributing a more just,reasonable,and inclusive model of investment governance to the world.
文摘In recent years,advancements in autonomous vehicle technology have accelerated,promising safer and more efficient transportation systems.However,achieving fully autonomous driving in challenging weather conditions,particularly in snowy environments,remains a challenge.Snow-covered roads introduce unpredictable surface conditions,occlusions,and reduced visibility,that require robust and adaptive path detection algorithms.This paper presents an enhanced road detection framework for snowy environments,leveraging Simple Framework forContrastive Learning of Visual Representations(SimCLR)for Self-Supervised pretraining,hyperparameter optimization,and uncertainty-aware object detection to improve the performance of YouOnly Look Once version 8(YOLOv8).Themodel is trained and evaluated on a custom-built dataset collected from snowy roads in Tromsø,Norway,which covers a range of snow textures,illumination conditions,and road geometries.The proposed framework achieves scores in terms of mAP@50 equal to 99%and mAP@50–95 equal to 97%,demonstrating the effectiveness of YOLOv8 for real-time road detection in extreme winter conditions.The findings contribute to the safe and reliable deployment of autonomous vehicles in Arctic environments,enabling robust decision-making in hazardous weather conditions.This research lays the groundwork for more resilient perceptionmodels in self-driving systems,paving the way for the future development of intelligent and adaptive transportation networks.
文摘Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process to present a novel traffic modelling framework for aggregate traffic on urban roads. The main idea is that road traffic flow is random, even for the recurrent flow, such as rush hour traffic, which is predisposed to congestion. Therefore, the structure of the aggregate traffic flow model for urban roads should correlate well with the essential variables of the observed random dynamics of the traffic flow phenomena. The novelty of this paper is the developed framework, based on the Poisson process, the kinematics of urban road traffic flow, and the intermediate modelling approach, which were combined to formulate the model. Empirical data from an urban road in Ghana was used to explore the model’s fidelity. The results show that the distribution from the model correlates well with that of the empirical traffic, providing a strong validation of the new framework and instilling confidence in its potential for significantly improved forecasts and, hence, a more hopeful outlook for real-world traffic management.
基金funded by the National Key Research and Development Program Project 2022YFB4300404.
文摘The real-time path optimization for heterogeneous vehicle fleets in large-scale road networks presents significant challenges due to conflicting traffic demands and imbalanced resource allocation.While existing vehicleto-infrastructure coordination frameworks partially address congestion mitigation,they often neglect priority-aware optimization and exhibit algorithmic bias toward dominant vehicle classes—critical limitations in mixed-priority scenarios involving emergency vehicles.To bridge this gap,this study proposes a preference game-theoretic coordination framework with adaptive strategy transfer protocol,explicitly balancing system-wide efficiency(measured by network throughput)with priority vehicle rights protection(quantified via time-sensitive utility functions).The approach innovatively combines(1)a multi-vehicle dynamic routing model with quantifiable preference weights,and(2)a distributed Nash equilibrium solver updated using replicator sub-dynamic models.The framework was evaluated on an urban road network containing 25 intersections with mixed priority ratios(10%–30%of vehicles with priority access demand),and the framework showed consistent benefits on four benchmarks(Social routing algorithm,Shortest path algorithm,The comprehensive path optimisation model,The emergency vehicle timing collaborative evolution path optimization method)showed consistent benefits.Results showthat across different traffic demand configurations,the proposed method reduces the average vehicle traveling time by at least 365 s,increases the road network throughput by 48.61%,and effectively balances the road loads.This approach successfully meets the diverse traffic demands of various vehicle types while optimizing road resource allocations.The proposed coordination paradigm advances theoretical foundations for fairness-aware traffic optimization while offering implementable strategies for next-generation cooperative vehicle-road systems,particularly in smart city deployments requiring mixed-priority mobility guarantees.
基金supported by the National Key Research and Development Program of China(2022YFB2602103 and 2023YFA1008900)。
文摘Road infrastructure is facing significant digitalization challenges within the context of new infrastructure construction in China and worldwide.Among the advanced digital technologies,digital twin(DT)has gained prominence across various engineering sectors,including the manufacturing and construction industries.Specifically,road engineering has demonstrated a growing interest in DT and has achieved promising results in DT-related applications over the past several years.This paper systematically introduces the development of DT and examines its current state in road engineering by reviewing research articles on DT-enabling technologies,such as model creation,condition sensing,data processing,and interaction,as well as its applications throughout the lifecycle of road infrastructure.The findings indicate that research has primarily focused on data perception and virtual model creation,while realtime data processing and interaction between physical and virtual models remain underexplored.DT in road engineering has been predominantly applied during the operation and maintenance phases,with limited attention given to the construction and demolition phases.Future efforts should focus on establishing uniform standards,developing innovative perception and data interaction techniques,optimizing development costs,and expanding the scope of lifecycle applications to facilitate the digital transformation of road engineering.This review provides a comprehensive overview of state-of-the-art advancements in this field and paves the way for leveraging DT in road infrastructure lifecycle management.
文摘Cross-border e-commerce,as a new form of international trade,has shown great development potential in the context of the“Belt and Road”initiative.Based on the cross-border e-commerce export data from 2015 to 2024,this paper analyzes the influencing factors of China's cross-border e-commerce exports to countries along the“Belt and Road”by constructing an econometric model.The study found that factors such as the perfection of digital infrastructure,the efficiency of logistics and transportation,the convenience of payment and settlement,and the penetration rate of consumers online shopping significantly affect the export scale of cross-border e-commerce.Institutional factors such as the development level of e-commerce platforms in countries along the route,market access thresholds,and tariff policies also play an important role.Based on the research results,suggestions are put forward to strengthen the construction of cross-border payment system,optimize the logistics distribution network,promote customs clearance facilitation,and deepen cooperation in the field of e-commerce,to provide references for promoting the development of China's crossborder e-commerce exports to countries along the“Belt and Road.”
基金the National Council for Scientific and Technological Development (CNPq) for funding the field studies and for the research productivity fellowship (CNPq/PQ) awarded to Pedro Henrique Augusto MEDEIROS and José Carlos de ARAúJOthe Coordination for the Improvement of Higher Education Personnel (CAPES) for the doctoral scholarship awarded to Teresa Raquel Lima FARIAS (2117/13-4)the Foundation for the Support of Scientific and Technological Development in the State of Ceará (FUNCAP) for the master scholarship awarded to Maria Thereza Rocha CHAVES。
文摘Vegetation plays a major role in soil protection against erosion effects,and studies have also highlighted its importance in retaining sediments from roadside slopes.Yet,hydro-sedimentological studies under natural precipitation conditions are still scarce in semi-arid areas due to difficulties in monitoring the few and very concentrated precipitation events.Quantifying sediment connectivity and yield at watershed scale,often highly impacted by the erosion of unpaved roads,is necessary for management plans.This study aims to evaluate the efficiency of native vegetation on roadside slope segments in Caatinga biome in retaining sediments and conserving the soil in a semi-arid area of Brazil.Surface runoff,sediment concentration,and yield measurements were measured from 34 natural precipitation events in four years on two slopes with and without vegetation.The runoff coefficients of the plot with no vegetation varied from 3.0%to 58.0%,while in the vegetated plot,they showed variation from 1.0%to 21.0%.The annual specific sediment yield ranged from 4.6 to 138.7 kg/(hm^(2)•a)for the vegetated plot and from 34.9 to 608.5 kg/(hm^(2)•a)for the unvegetated one.These results indicate a 4 to 12 times higher soil loss on the unvegetated slope in relation to the vegetated one and demonstrate that natural Caatinga vegetation acts as an effective barrier against surface-transported sediments.Moreover,natural Caatinga vegetation present on the slope plays an important role in breaking connectivity between sediment flows from unpaved roads and the watershed drainage system.These findings indicate that investments in unpaved road and roadside slope restoration,not only enhance road infrastructure but also promote environmental gains by reducing the impact of erosion.
文摘Road condition assessment involves evaluating the physical state of roadways to determine necessary maintenance and rehabilitation,while traffic assessment focuses on analyzing vehicle flow patterns to improve traffic management.This study employs Geographic Information Systems(GIS)to assess and evaluate road conditions and traffic dynamics in the ruralmunicipality ofOdiongan,Romblon,Philippines.GISmapping enabled a spatially detailed classification of road conditions,identifying areas categorized as excellent,good,fair,or poor,and highlighted sections requiring maintenance or rehabilitation.These assessments are crucial for enhancing the transportation framework amid escalating developmental and demographic demands.Concurrently,GIS was used to visualize and analyze traffic composition and flow,with the study measuring the Level of Service(LOS)for traffic,emphasizing vehicle composition during peak and off-peak periods.Findings revealed amix of good to fair road conditions across most ofOdiongan,with twelve(12)barangays suffering from poor conditions necessitating rehabilitation.Traffic composition was dominated by motorcycles and tricycles,experiencing a significant uptick in volume during peak hours.The GIS-based evaluation pointed out an unsatisfactory LOS(ranging from C to F)at all stations,underscoring the need for enhanced signalization and intersection upgrades.By leveraging GIS to provide a comprehensive understanding of road and traffic conditions,this study lays the groundwork for an integrated transportationmanagement plan to bolster the efficiency and safety of the municipality’s transportation network amidst ongoing rural development.
文摘For the people of Masaka,Kabuga and Muyumbu in Rwanda,the daily commute often takes longer than it should.A stretch of just 10 km along the Prince House-Giporoso-Masaka road can take half an hour during peak hours.The narrow two-lane artery,clogged with long-haul trucks from the Rwanda-Tanzania border and commuter traffic,has long tested the patience of drivers and pedestrians alike.In May,a long-awaited announcement finally arrived.Rwanda’s Ministry of Infrastructure confirmed plans to expand the road from two lanes to four,adding a 1.2-km flyover at Giporoso-Remera and an underpass to keep tra"c flowing smoothly.The$60.5 million(Rwf86 billion)project will be fully funded by China,a testament to the deepening friendship and cooperation between the two nations.For many residents,it signals the end of years of lost time and daily frustration.
文摘Road Traffic Accidents(RTAs)pose significant threats to public safety and urban infrastructure.While numerous studies have addressed this issue in other countries,there remains a notable gap in localized RTA research in Sri Lanka.In this context,the present study investigates the spatial and temporal patterns of RTAs in theMatara urban area in 2023,with the goal of supporting evidence-based policy interventions.A suite of GIS-based spatial analysis techniques including hotspot analysis,kernel density estimation,GiZ score mapping,and spatial autocorrelation(Moran’s I=0.36,p<0.01)was applied to examine the distribution and contributing factors of RTAs.The results identified several high-risk zones,particularly along the Colombo-Wellawaya main road,as well as near the southern expressway exit,and around Rahula Junction,which collectively accounted for over 40% of all recorded accidents.These areas are characterized by high traffic volumes,complex road geometries,and significant pedestrian activity.Driverrelated behaviors were dominant causes,with negligence accounting for 57% of accidents,aggressive driving for 14%,and alcohol influence for 8%.Temporally,the highest incidence of RTAs(38%)was recorded during the afternoon peak hours(11:00 a.m.to 4:59 p.m.).Based on these findings,targeted policy measures such as enhanced traffic enforcement,infrastructure redesign,and public awareness campaigns are recommended to reduce accident frequency and improve road safety in high-risk areas.This study provides a localized,data-driven framework that can guide urban traffic planning and safety interventions in Matara and similar urban settings.
文摘In the 12 years since the Belt and Road Initiative was first proposed,many Chinese enterprises have made fruitful achievements in the participating countries of the Belt and Road Initiative.
文摘1 Researchers have discovered the remains of ancient cities located above the ancient Silk Road in the rocky mountains of southeastern Uzbekistan.The groundbreaking discovery,made possible by new drone‑based lidar(激光雷达)technology,challenges long‑held assumptions that urban life was rarely seen in the remote mountains of Central Asia.
文摘On the afternoon of May 30,the parallel forum"Global Dialogue on Civilisational Inheritance and the Digital Silk Road,"as part of the 4th Dialogue on Exchanges and Mutual Learning among Civilisations,was held in Dunhuang.The forum focused on key areas of Silk Road civilisation studies in the new era under the theme"Carrying Forward the Silk Road Spirit and Pooling Strength for the Implementation of the Global Civilisation Initiative."Discussions centred on topics such as humanistic research on the Digital Silk Road,translation studies of cultural heritage,and archaeological studies of Silk Road sites,providing a platform for experts and scholars to exchange ideas and share achievements,and working to build a strong synergy for exchanges and mutual learning among civilisations.
文摘On the morning of January 15,the China-Laos Cultural Road Dialogue took place in Vientiane,Laos.A ceremony was held during the event to release the January 2025 special editions of China Report ASEAN(an English journal)and Champa(a Chinese-Lao bilingual journal named after the national flower of Laos which is considered a symbol of sincerity and joy).Part of the 2025“One River,One Family”Spring Festival cultural series in Laos,the event was supervised by China International Communications Group(CICG),the Chinese Embassy in Laos,and China State Railway Group Company,hosted by the Publicity Department of the CPC Yunnan Provincial Committee and the Publicity Department of the Central Committee of the Lao People’s Revolutionary Party(LPRP),and organized by CICG Asia-Pacific,Yunnan Daily,Yunnan International Communication Center for South and Southeast Asia,Pasaxon(“The People”newspaper in Laos),and China Railway Kunming Group.
文摘Since ancient times,China and Iran,two ancient civilizations with profound medical traditions,have engaged in extensive medical interactions through trade and cultural exchange channels,such as the Silk Road.The paper first reviews the emergence of medical exchanges between the two countries during the Han dynasty,then elaborates on the in-depth development of medical exchanges from the Three Kingdoms to the eve of the Tang dynasty.Entering the Song and Yuan dynasties,the medical exchanges between the two countries became more specific,involving the translation and dissemination of medical classics,the exchanges between doctors,and the trade and cultivation of medicinal materials.The paper further examines the new opportunities and challenges presented by traditional medical exchanges between the two countries under the Belt and Road Initiative.It emphasizes the contribution of this cross-civilization medical exchange to the development of the medical systems of both sides and to human health.This article reveals its far-reaching significance by systematically examining the historical context of medical exchanges between the two countries.It provides historical references and inspiration for future in-depth cooperation between the two countries in traditional medicine.
文摘Since its inception,the Belt and Road Initiative(BRI)has emerged as a global platform for international cooperation,with infrastructure connectivity at its core.Infrastructure,often referred to as the“lifeblood”of economic and social development,plays a pivotal role in breaking bottlenecks,bridging regional gaps,and driving inclusive growth-particularly in developing regions where inadequate infrastructure has long hindered progress.
文摘This study aims to explore the feasibility of conducting supervised classification of road barriers in a practical context through the utilization of diverse data collection methods.These methods encompass accelerometer,ultrasonic,GPS,and real-time clock sensors,which collectively contribute to a comprehensive analysis of the subject matter.This study primarily focuses on the highways of India,along with urban and semi-urban areas,as its central subject of investigation.In order to facilitate the collection of data from these sensors,a mobile application referred to as DC has been meticulously developed.In this study,the data collected from the sensors undergo a transformation process to create a fuzzy dataset.This is achieved through the application of min-max normalization followed by fuzzification techniques.A variety of methodologies for measuring distance have been established,each aimed at achieving optimal classification outcomes.One of the primary objectives is to establish comprehensive standards for assessing the condition of roadways,considering a multitude of factors,including the overall length of the road and the extent of any damage present.This study conducts a comprehensive comparative analysis of all distance metrics employed for the classification of road impediments.The findings reveal promising results regarding accuracy,demonstrating an approximate range between 98%and 99%.Furthermore,to facilitate the observation of outcomes in real time,a visualization tool is currently under development.This tool aims to display road obstructions on maps,enhancing the user's ability to navigate and understand the current traffic conditions effectively.
