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
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
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 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
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
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
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 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
Road construction plays a vital role in the social and economic development of developing countries.However,it is often constrained by financial limitations,maintenance challenges,and environmental concerns.Building I...Road construction plays a vital role in the social and economic development of developing countries.However,it is often constrained by financial limitations,maintenance challenges,and environmental concerns.Building Information Modelling(BIM)presents a transformative opportunity to improve road construction efficiency,cost-effectiveness,and sustainability by enabling digital collaboration,lifecycle management,and data-driven decision making.This paper examines the current state of BIM application in the road construction sector of developing countries,focusing on lifecycle integration,economic and operational benefits,and key barriers to adoption.Findings indicate that BIM can enhance project outcomes in whole project life.However,challenges such as high initial costs,lack of skilled personnel,and insufficient policy support hinder widespread adoption.Moreover,the underutilization of BIM in the operational phase leads to unsatisfied returns on investment.The study highlights the critical role of government policies in driving BIM implementation,particularly in public-sector road projects.Recommendations include fostering BIM standards,investing in workforce training,and developing localized BIM solutions to maximize long-term benefits for developing nations.展开更多
Road construction plays a vital role in the social and economic development of developing countries.However,it is often constrained by financial limitations,maintenance challenges,and environmental concerns.Building I...Road construction plays a vital role in the social and economic development of developing countries.However,it is often constrained by financial limitations,maintenance challenges,and environmental concerns.Building Information Modelling(BIM)presents a transformative opportunity to improve road construction efficiency,cost-effectiveness,and sustainability by enabling digital collaboration,lifecycle management,and data-driven decision-making.This paper examines the current state of BIM application in the road construction sector of developing countries,focusing on lifecycle integration,economic and operational benefits,and key barriers to adoption.Findings indicate that BIM can enhance project outcomes in whole project life.However,challenges such as high initial costs,lack of skilled personnel,and insufficient policy support hinder widespread adoption.Moreover,the underutilization of BIM in the operational phase leads to unsatisfied returns on investment.The study highlights the critical role of government policies in driving BIM implementation,particularly in public-sector road projects.Recommendations include fostering BIM standards,investing in workforce training,and developing localized BIM solutions to maximize long-term benefits for developing nations.展开更多
At the invitation of the Madagascar-China Friendship Group of the National Assembly of Madagascar,Li Jun,former Vice-Minister of the International Department of the CPC Central Committee and Vice-President of CNIE,led...At the invitation of the Madagascar-China Friendship Group of the National Assembly of Madagascar,Li Jun,former Vice-Minister of the International Department of the CPC Central Committee and Vice-President of CNIE,led a sixmember delegation to visit Madagascar from May 11th to 14th,2025.During the delegation's visit,Justin Tokely,Speaker of the National Assembly of Madagascar and Razafinarivo Augustin,Deputy Speaker met with the delegation.The delegation exchanged views with Rafidi,Director of the Madagascar Economic Development Bureau as well as leaders of local NGOs on Belt and Road cooperation and peopleto-people exchanges.展开更多
As energy cooperation under the Belt and Road Initiative continues to deepen,both traditional and new energy projects require a diverse range of talents in fields such as engineering technology,management,environmenta...As energy cooperation under the Belt and Road Initiative continues to deepen,both traditional and new energy projects require a diverse range of talents in fields such as engineering technology,management,environmental protection,and finance.However,the current talent supply faces structural deficiencies,including a lack of international perspective among local talent,a shortage of interdisciplinary talents,and an inadequate framework for transnational mobility and educational cooperation,which severely constrains project implementation efficiency.展开更多
This study analyzes 81 NHK(Japan Broadcasting Corporation)reports on the Belt and Road Initiative(BRI)from January 2020 to January 2024.It examines the changing themes,strategies,and attitudes towards the BRI.Findings...This study analyzes 81 NHK(Japan Broadcasting Corporation)reports on the Belt and Road Initiative(BRI)from January 2020 to January 2024.It examines the changing themes,strategies,and attitudes towards the BRI.Findings reveal that during the COVID-19 pandemic,NHK focused on China’s“vaccine diplomacy”and aid,portraying China as a proactive global player,while suggesting competition.In the context of the Russia-Ukraine conflict and the BRI forum,NHK’s coverage shifted towards geopolitics and international cooperation,showing skepticism and caution.Future efforts should emphasize improving communication with Japan to highlight the positive outcomes of the BRI and counter negative perceptions.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
The internal road landscapes of Xizang Cultural Tourism and Creative Park at an altitude of 3,650 m were taken as the research object,and focusing on the restrictive effect of the high-altitude extreme environment on ...The internal road landscapes of Xizang Cultural Tourism and Creative Park at an altitude of 3,650 m were taken as the research object,and focusing on the restrictive effect of the high-altitude extreme environment on the road landscapes,data were collected through data crawling and survey questionnaires.Post occupancy evaluation(POE)was used to establish an evaluation system containing five dimensions and 24 indicators(including five high-altitude specific indicators),and statistical analysis was conducted by using multiple methods such as the analytic hierarchy process(AHP),SD semantic difference method,and IPA image analysis method.The results show that the respondents are generally satisfied with the overall evaluation of road landscapes in Xizang Cultural Tourism and Creative Park.However,the performance of high-altitude associated indicators is worrying.That is,anti-glare safety requirements are not met,and the survival rate of plateau plants is lower than the requirements of landscape effect;the integration of cultural landscapes fails to reflect regional culture.Based on this,high-altitude adaptive design strategies of three-dimensional synergy of“culture,ecology and security”were proposed to provide a certain paradigm reference for the evaluation and design of road landscapes in high-altitude areas.展开更多
Monitoring the condition of road infrastructure is crucial for maintaining its structural integrity and ensuring safe transportation.This study proposes a deep learning framework based on Temporal Convolutional Networ...Monitoring the condition of road infrastructure is crucial for maintaining its structural integrity and ensuring safe transportation.This study proposes a deep learning framework based on Temporal Convolutional Networks(TCN)integrated with Adaptive Parametric Rectified Linear Unit(APReLU)to predict future road subbase strain trends.Our model leverages time-series strain data collected from embedded triaxial sensors within a national highway,spanning August 2021 to June 2022,to forecast strain dynamics critical for proactive maintenance planning.The TCN-APReLU architecture combines dilated causal convolutions to capture long-termdependencies and APReLU activation functions to adaptively model nonlinear strain patterns,addressing limitations of traditional ReLU in handling bidirectional strain signals(compressive and tensile).Comparative experiments demonstrate TCN-APReLU’s superior performance.These improvements highlight its enhanced accuracy in predicting strain accumulation under cyclic traffic loads,enabling maintenance teams to prioritize interventions 5-7 days before critical thresholds(e.g.,>100με)are exceeded.This work provides a robust data-driven solution for urban road health monitoring,emphasizing scalability through parallelizable convolutions and adaptability to sensor noise.Future extensions will integrate multi-modal data to further generalize predictions across diverse infrastructure scenarios.展开更多
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 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.
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.
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.
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 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.
文摘Road construction plays a vital role in the social and economic development of developing countries.However,it is often constrained by financial limitations,maintenance challenges,and environmental concerns.Building Information Modelling(BIM)presents a transformative opportunity to improve road construction efficiency,cost-effectiveness,and sustainability by enabling digital collaboration,lifecycle management,and data-driven decision making.This paper examines the current state of BIM application in the road construction sector of developing countries,focusing on lifecycle integration,economic and operational benefits,and key barriers to adoption.Findings indicate that BIM can enhance project outcomes in whole project life.However,challenges such as high initial costs,lack of skilled personnel,and insufficient policy support hinder widespread adoption.Moreover,the underutilization of BIM in the operational phase leads to unsatisfied returns on investment.The study highlights the critical role of government policies in driving BIM implementation,particularly in public-sector road projects.Recommendations include fostering BIM standards,investing in workforce training,and developing localized BIM solutions to maximize long-term benefits for developing nations.
文摘Road construction plays a vital role in the social and economic development of developing countries.However,it is often constrained by financial limitations,maintenance challenges,and environmental concerns.Building Information Modelling(BIM)presents a transformative opportunity to improve road construction efficiency,cost-effectiveness,and sustainability by enabling digital collaboration,lifecycle management,and data-driven decision-making.This paper examines the current state of BIM application in the road construction sector of developing countries,focusing on lifecycle integration,economic and operational benefits,and key barriers to adoption.Findings indicate that BIM can enhance project outcomes in whole project life.However,challenges such as high initial costs,lack of skilled personnel,and insufficient policy support hinder widespread adoption.Moreover,the underutilization of BIM in the operational phase leads to unsatisfied returns on investment.The study highlights the critical role of government policies in driving BIM implementation,particularly in public-sector road projects.Recommendations include fostering BIM standards,investing in workforce training,and developing localized BIM solutions to maximize long-term benefits for developing nations.
文摘At the invitation of the Madagascar-China Friendship Group of the National Assembly of Madagascar,Li Jun,former Vice-Minister of the International Department of the CPC Central Committee and Vice-President of CNIE,led a sixmember delegation to visit Madagascar from May 11th to 14th,2025.During the delegation's visit,Justin Tokely,Speaker of the National Assembly of Madagascar and Razafinarivo Augustin,Deputy Speaker met with the delegation.The delegation exchanged views with Rafidi,Director of the Madagascar Economic Development Bureau as well as leaders of local NGOs on Belt and Road cooperation and peopleto-people exchanges.
基金2024 Western Project of the National Social Science Fund,"Research on Promotion Strategies and Implementation Paths for High-Quality Energy Cooperation under the Belt and Road Initiative"(No.24XGJ002)PetroChina Southwest Oil&Gasfield Company Scientific Research Project,"Research on the Construction of Professional Technical Talent Teams in the PetroChina Southwest Oil&Gasfield Company"(No.2024D111-01-03)Chengdu soft science research project titled"Research on the Path to Achieve High-quality Clean Energy Cooperation between Chengdu and Countries along the Belt and Road"(No.2025-RK00-00088-ZF).
文摘As energy cooperation under the Belt and Road Initiative continues to deepen,both traditional and new energy projects require a diverse range of talents in fields such as engineering technology,management,environmental protection,and finance.However,the current talent supply faces structural deficiencies,including a lack of international perspective among local talent,a shortage of interdisciplinary talents,and an inadequate framework for transnational mobility and educational cooperation,which severely constrains project implementation efficiency.
基金supported by the Nanjing University of Finance and Economics Teaching Reform Project,“Exploration and Practice of Ideological and Political Education in Elementary Japanese Courses:A Multidimensional Integration from Language Origins to Social Issues”(Project Number:XJWC3202449).
文摘This study analyzes 81 NHK(Japan Broadcasting Corporation)reports on the Belt and Road Initiative(BRI)from January 2020 to January 2024.It examines the changing themes,strategies,and attitudes towards the BRI.Findings reveal that during the COVID-19 pandemic,NHK focused on China’s“vaccine diplomacy”and aid,portraying China as a proactive global player,while suggesting competition.In the context of the Russia-Ukraine conflict and the BRI forum,NHK’s coverage shifted towards geopolitics and international cooperation,showing skepticism and caution.Future efforts should emphasize improving communication with Japan to highlight the positive outcomes of the BRI and counter negative perceptions.
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.
基金Sponsored by the Joint Training Base Project for Master’s Degree Students in Landscape Architecture of Chongqing Jiaotong University and China Merchants Ecological and Environmental Protection Technology Co.,Ltd.(JDLHPY.JD2019003)General Project of Chongqing Natural Science Foundation of China in 2024(CSTB2024NSCQ-MSX1067)Key Project of Humanities and Social Sciences of Chongqing City in 2024(24SKGH346).
文摘The internal road landscapes of Xizang Cultural Tourism and Creative Park at an altitude of 3,650 m were taken as the research object,and focusing on the restrictive effect of the high-altitude extreme environment on the road landscapes,data were collected through data crawling and survey questionnaires.Post occupancy evaluation(POE)was used to establish an evaluation system containing five dimensions and 24 indicators(including five high-altitude specific indicators),and statistical analysis was conducted by using multiple methods such as the analytic hierarchy process(AHP),SD semantic difference method,and IPA image analysis method.The results show that the respondents are generally satisfied with the overall evaluation of road landscapes in Xizang Cultural Tourism and Creative Park.However,the performance of high-altitude associated indicators is worrying.That is,anti-glare safety requirements are not met,and the survival rate of plateau plants is lower than the requirements of landscape effect;the integration of cultural landscapes fails to reflect regional culture.Based on this,high-altitude adaptive design strategies of three-dimensional synergy of“culture,ecology and security”were proposed to provide a certain paradigm reference for the evaluation and design of road landscapes in high-altitude areas.
基金Supported by open project fund of National Engineering Research Center of Digital Construction and Evaluation Technology of Urban Rail Transit(2024023).
文摘Monitoring the condition of road infrastructure is crucial for maintaining its structural integrity and ensuring safe transportation.This study proposes a deep learning framework based on Temporal Convolutional Networks(TCN)integrated with Adaptive Parametric Rectified Linear Unit(APReLU)to predict future road subbase strain trends.Our model leverages time-series strain data collected from embedded triaxial sensors within a national highway,spanning August 2021 to June 2022,to forecast strain dynamics critical for proactive maintenance planning.The TCN-APReLU architecture combines dilated causal convolutions to capture long-termdependencies and APReLU activation functions to adaptively model nonlinear strain patterns,addressing limitations of traditional ReLU in handling bidirectional strain signals(compressive and tensile).Comparative experiments demonstrate TCN-APReLU’s superior performance.These improvements highlight its enhanced accuracy in predicting strain accumulation under cyclic traffic loads,enabling maintenance teams to prioritize interventions 5-7 days before critical thresholds(e.g.,>100με)are exceeded.This work provides a robust data-driven solution for urban road health monitoring,emphasizing scalability through parallelizable convolutions and adaptability to sensor noise.Future extensions will integrate multi-modal data to further generalize predictions across diverse infrastructure scenarios.
