相关期刊:《Chinese Physics B》《Journal of Southeast University(English Edition)》《International Journal of Transportation Science and Technology》《Journal of World Architecture》更多>>
This study aims to optimize the inbound traffic flow on on-ramps by considering low time costs,good speed stability,and high driving safety for mixed traffic flow.The optimal inlet gap is identified in advance,and tra...
VINNOVA(ICV-safety),National Key R&D Program of China(2019YFE0108300);the Area of Advance Transport and AI Center(CHAIR)at Chalmers University of Technology for funding this research.
Connected and Autonomous Vehicles(CAVs)hold great potential to improve traffic efficiency,emissions and safety in freeway on-ramp bottlenecks through coordination between mainstream and on-ramp vehicles.This study pro...
This paper represents a case study of traffic congestion within a section on Al Seeb Street highway due to the on-ramp merging of vehicles that causes a bottleneck in the mainline road. It studies the efficiency of in...
supported by National Start-up Research Fund at Southeast University(Grant No.5721002303);Science and Technology Program of Suzhou(Grant No.SYC2022078);Natural Science Foundation of Jiangsu Province(Grant No.BK20220243);China Postdoctoral Science Foundation(Grant No.2023M742033);Key R&D Program Projects of Hubei Province(Grant No.2023DJC195).
Dynamic speed guidance for vehicles in on-ramp merging zones is instrumental in alleviating traffic congestion on urban expressways.To enhance compliance with recommended speeds,the development of a dynamic speed-guid...
supported by the National Key R&D Program of China(2022YFB2503200);the National Natural Science Foundation of China,Science Fund for Creative Research Groups(52221005).
The on-ramp merging in multi-lane highway scenarios presents challenges due to the complexity of coordinating vehicles’merging and lane-changing behaviors,while ensuring safety and optimizing traffic flow.However,the...
supported by the National Natural Science Foundation of China(Grant No.52272421);the Shenzhen Fundamental Research Fund(Grant No.JCYJ20190808142613246).
This paper proposes an improved decision-making method based on deep reinforcement learning to address on-ramp merging challenges in highway autonomous driving.A novel safety indicator,time difference to merging(TDTM)...
the National Natural Science Foundation of China(Grant No.71901223);Natural Science Foundation of Hunan Province(Grant No.2021JJ40746);Innovation-Driven Project of Central South University(Grant No.2020CX013).
Freeway on-ramps suffer high crash risks due to frequent merging behaviours.This study developed hazard-based duration models to investigate the merging time interval on freeway on-ramps based on microscopic trajector...
the Collaboration Project between China and Sweden regarding Research,Development and Innovation within Life Science and Road Traffic Safety(Grant No.2018YFE0102800);in part by the Key Program of National Natural Science Foundation of China(Grant No.U21B2089);in part by the National Natural Science Foundation of China(Grant No.71671100);in part by the Swedish Innovation Agency Vinnova(Grant No.2018-02891).
The safety of heterogeneous traffic is a vital topic in the oncoming era of autonomous vehicles(AVs).The cooperative vehicle infrastructure system(CVIS)is considered to improve heterogeneous traffic safety by connecti...
grateful to VINNOVA(ICV-Safe,2019–03418),Area of Advance Transport and AI Center(CHAIR)at the Chalmers University of Technology for funding this research.
Purpose–On-ramp merging areas are typical bottlenecks in the freeway network since merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and lead to various negative impacts on traffi...
supported in by National Natural Science Foundation of China (No.61903046);Key Research and Development Program of Shaanxi Province (No.2021GY-290);Youth Talent Lift Project of Shaanxi Association for Science and Technology (No.20200106);Joint Laboratory for Internet of Vehicles,Ministry of Education-China Mobile Communications Corporation (No.213024170015);Fundamental Research Funds for the Central Universities (No. 300102240106)
Improper handling of vehicle on-ramp merging may hinder traffic flow and contribute to lower fuel economy,while also increasing the risk of collisions.Cooperative control for connected and automated vehicles(CAVs)has ...