Purpose–This paper aims to review the studies on intersection control with connected and automated vehicles(CAVs).Design/methodology/approach–The most seminal and recent research in this area is reviewed.This study ...Purpose–This paper aims to review the studies on intersection control with connected and automated vehicles(CAVs).Design/methodology/approach–The most seminal and recent research in this area is reviewed.This study specifically focuses on two categories:CAV trajectory planning and joint intersection and CAV control.Findings–It is found that there is a lack of widely recognized benchmarks in this area,which hinders the validation and demonstration of new studies.Originality/value–In this review,the authors focus on the methodological approaches taken to empower intersection control with CAVs.The authors hope the present review could shed light on the state-of-the-art methods,research gaps and future research directions.展开更多
Gap acceptance theory is broadly used for evaluating unsignalized intersections in developed coun tries. Intersections with no specific priority to any move ment, known as uncontrolled intersections, are common in Ind...Gap acceptance theory is broadly used for evaluating unsignalized intersections in developed coun tries. Intersections with no specific priority to any move ment, known as uncontrolled intersections, are common in India. Limited priority is observed at a few intersections, where priorities are perceived by drivers based on geom etry, traffic volume, and speed on the approaches of intersection. Analyzing such intersections is complex because the overall traffic behavior is the result of drivers, vehicles, and traffic flow characteristics. Fuzzy theory has been widely used to analyze similar situations. This paper describes the application of adaptive neurofuzzy interface system （ANFIS） to the modeling of gap acceptance behavior of rightturning vehicles at limited priority Tintersections （in India, vehicles are driven on the left side of a road）. Field data are collected using video cameras at four Tintersections having limited priority. The data extracted include gap/lag, subject vehicle type, conflicting vehicle type, and driver＇s decision （accepted/rejected）. ANFIS models are developed by using 80 % of the extracted data （total data observations for major road right turning vehicles are 722 and 1,066 for minor road right turning vehicles） and remaining are used for model vali dation. Four different combinations of input variables are considered for major and minor road right turnings sepa rately. Correct prediction by ANFIS models ranges from 75.17 % to 82.16 % for major road right turning and 87.20 % to 88.62 % for minor road right turning. Themodels developed in this paper can be used in the dynamic estimation of gap acceptance in traffic simulation models.展开更多
The purpose of this study is to reduce the uncertainty in the calculation process on hesitant fuzzy sets(HFSs).The innovation of this study is to unify the cardinal numbers of hesitant fuzzy elements(HFEs)in a special...The purpose of this study is to reduce the uncertainty in the calculation process on hesitant fuzzy sets(HFSs).The innovation of this study is to unify the cardinal numbers of hesitant fuzzy elements(HFEs)in a special way.Firstly,a probability density function is assigned for any given HFE.Thereafter,equal-probability transformation is introduced to transform HFEs with different cardinal numbers on the condition into the same probability density function.The characteristic of this transformation is that the higher the consistency of the membership degrees in HFEs,the higher the credibility of the mentioned membership degrees is,then,the bigger the probability density values for them are.According to this transformation technique,a set of novel distance measures on HFSs is provided.Finally,an illustrative example of intersection traffic control is introduced to show the usefulness of the given distance measures.The example also shows that this study is a good complement to operation theories on HFSs.展开更多
The line control for multiple intersections is a hot spot in the area of transportation. According to the principle of system analysis and coordination, a method about fuzzy line control for multiple intersections is ...The line control for multiple intersections is a hot spot in the area of transportation. According to the principle of system analysis and coordination, a method about fuzzy line control for multiple intersections is proposed. The system is made of two control units, one is the basic control unit for every single intersection, and the other is used for the function of coordination.展开更多
Signal retiming is a prominent way that transportation agencies use to fight congestion and change of traffic pattern.Performance evaluations of traffic conditions at signalized intersections and arterials provide act...Signal retiming is a prominent way that transportation agencies use to fight congestion and change of traffic pattern.Performance evaluations of traffic conditions at signalized intersections and arterials provide actionable data for agencies to make well-informed and prioritized signal retiming decisions.However,the abundance of data sources,the lack of standardized evaluation methods and oftentimes the shortage of resources make it a difficult endeavor.The review detailed in this paper examines the advances made in traffic signal performance evaluation.We establish the necessity for the evaluations,study the process of continuous improvement of traffic signal performance using the evaluations,and then examine multiple methodologies in a plethora of research endeavors.Particularly,we focus on probe vehicles and sensors data,the two major sources of data.We discuss how sensors are connected to signal controllers to provide relevant in-depth traffic data including speed and occupancy measures.We also review the nature of probe vehicles and the level of penetration.We then define and summarize performance measures derived from both sources,to aid in performance evaluations.For performance evaluation methods,we discuss the research studies and provide summaries including advantages and disadvantages of the methods used,as well as a holistic outlook for future research.This paper is aimed to provide a comprehensive review on the state-of-the-art to benefit researcher,traffic agencies,and commercial entities that thrive to improve safety and efficiency of traffic signals through performance evaluations.展开更多
The emergence of road users’global positioning system(GPS)trajectory data is attracting increasing research interest in knowledge discovery to improve transport planning-related methods and tools.In fact,the widespre...The emergence of road users’global positioning system(GPS)trajectory data is attracting increasing research interest in knowledge discovery to improve transport planning-related methods and tools.In fact,the widespread use of GPS-enabled smartphones and the mobile internet has increased the availability and size of such data.With the increase in GPS data coverage and availability,some research has expanded its use to estimate state-wide vehicle-miles travelled,to classify driving maneuvers for road safety assessment,or to estimate environmental performance indicators,such as vehicular fuel consumption and pollution emissions.In computer science,research has used GPS data to infer road network maps.Although the inferred maps provide a correct topology and connectivity,they lack the essential details to be used for transport modeling.Therefore,this work proposes a method to extract network-wide road direction and turning movement rules.In addition,building a road network model under the widely used macroscopic transport modeling software serves as a proof of concept.A sensitivity analysis was carried out to determine the output quality and recommend future improvements.Road segment geometry and directionality were extracted accurately(case study accuracy of 95%);however,turning movement rules can be extracted more accurately using a larger GPS vehicle trajectory sample(case study accuracy of 68%).展开更多
文摘Purpose–This paper aims to review the studies on intersection control with connected and automated vehicles(CAVs).Design/methodology/approach–The most seminal and recent research in this area is reviewed.This study specifically focuses on two categories:CAV trajectory planning and joint intersection and CAV control.Findings–It is found that there is a lack of widely recognized benchmarks in this area,which hinders the validation and demonstration of new studies.Originality/value–In this review,the authors focus on the methodological approaches taken to empower intersection control with CAVs.The authors hope the present review could shed light on the state-of-the-art methods,research gaps and future research directions.
基金partially funded by Department of Science and Technology (DST), Govt. of Indiaproject SR/ FTP/ETA-61/2010
文摘Gap acceptance theory is broadly used for evaluating unsignalized intersections in developed coun tries. Intersections with no specific priority to any move ment, known as uncontrolled intersections, are common in India. Limited priority is observed at a few intersections, where priorities are perceived by drivers based on geom etry, traffic volume, and speed on the approaches of intersection. Analyzing such intersections is complex because the overall traffic behavior is the result of drivers, vehicles, and traffic flow characteristics. Fuzzy theory has been widely used to analyze similar situations. This paper describes the application of adaptive neurofuzzy interface system （ANFIS） to the modeling of gap acceptance behavior of rightturning vehicles at limited priority Tintersections （in India, vehicles are driven on the left side of a road）. Field data are collected using video cameras at four Tintersections having limited priority. The data extracted include gap/lag, subject vehicle type, conflicting vehicle type, and driver＇s decision （accepted/rejected）. ANFIS models are developed by using 80 % of the extracted data （total data observations for major road right turning vehicles are 722 and 1,066 for minor road right turning vehicles） and remaining are used for model vali dation. Four different combinations of input variables are considered for major and minor road right turnings sepa rately. Correct prediction by ANFIS models ranges from 75.17 % to 82.16 % for major road right turning and 87.20 % to 88.62 % for minor road right turning. Themodels developed in this paper can be used in the dynamic estimation of gap acceptance in traffic simulation models.
基金supported by Shanghai Pujiang Program (No.2019PJC062)the Natural Science Foundation of Shandong Province (No.ZR2021MG003)the Research Project on Undergraduate Teaching Reform of Higher Education in Shandong Province (No.Z2021046).
文摘The purpose of this study is to reduce the uncertainty in the calculation process on hesitant fuzzy sets(HFSs).The innovation of this study is to unify the cardinal numbers of hesitant fuzzy elements(HFEs)in a special way.Firstly,a probability density function is assigned for any given HFE.Thereafter,equal-probability transformation is introduced to transform HFEs with different cardinal numbers on the condition into the same probability density function.The characteristic of this transformation is that the higher the consistency of the membership degrees in HFEs,the higher the credibility of the mentioned membership degrees is,then,the bigger the probability density values for them are.According to this transformation technique,a set of novel distance measures on HFSs is provided.Finally,an illustrative example of intersection traffic control is introduced to show the usefulness of the given distance measures.The example also shows that this study is a good complement to operation theories on HFSs.
文摘The line control for multiple intersections is a hot spot in the area of transportation. According to the principle of system analysis and coordination, a method about fuzzy line control for multiple intersections is proposed. The system is made of two control units, one is the basic control unit for every single intersection, and the other is used for the function of coordination.
基金supported in part by Tennessee Department of Transportation(TDOT)and Federal Highway Administration(FHWA),under TDOT grant RES2021-09
文摘Signal retiming is a prominent way that transportation agencies use to fight congestion and change of traffic pattern.Performance evaluations of traffic conditions at signalized intersections and arterials provide actionable data for agencies to make well-informed and prioritized signal retiming decisions.However,the abundance of data sources,the lack of standardized evaluation methods and oftentimes the shortage of resources make it a difficult endeavor.The review detailed in this paper examines the advances made in traffic signal performance evaluation.We establish the necessity for the evaluations,study the process of continuous improvement of traffic signal performance using the evaluations,and then examine multiple methodologies in a plethora of research endeavors.Particularly,we focus on probe vehicles and sensors data,the two major sources of data.We discuss how sensors are connected to signal controllers to provide relevant in-depth traffic data including speed and occupancy measures.We also review the nature of probe vehicles and the level of penetration.We then define and summarize performance measures derived from both sources,to aid in performance evaluations.For performance evaluation methods,we discuss the research studies and provide summaries including advantages and disadvantages of the methods used,as well as a holistic outlook for future research.This paper is aimed to provide a comprehensive review on the state-of-the-art to benefit researcher,traffic agencies,and commercial entities that thrive to improve safety and efficiency of traffic signals through performance evaluations.
文摘The emergence of road users’global positioning system(GPS)trajectory data is attracting increasing research interest in knowledge discovery to improve transport planning-related methods and tools.In fact,the widespread use of GPS-enabled smartphones and the mobile internet has increased the availability and size of such data.With the increase in GPS data coverage and availability,some research has expanded its use to estimate state-wide vehicle-miles travelled,to classify driving maneuvers for road safety assessment,or to estimate environmental performance indicators,such as vehicular fuel consumption and pollution emissions.In computer science,research has used GPS data to infer road network maps.Although the inferred maps provide a correct topology and connectivity,they lack the essential details to be used for transport modeling.Therefore,this work proposes a method to extract network-wide road direction and turning movement rules.In addition,building a road network model under the widely used macroscopic transport modeling software serves as a proof of concept.A sensitivity analysis was carried out to determine the output quality and recommend future improvements.Road segment geometry and directionality were extracted accurately(case study accuracy of 95%);however,turning movement rules can be extracted more accurately using a larger GPS vehicle trajectory sample(case study accuracy of 68%).
