相关期刊:《Computer Modeling in Engineering & Sciences》《Journal of Traffic and Transportation Engineering(English Edition)》《China Communications》《Transportation Safety and Environment》更多>>
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...
This work was supported by the National Natural Science Foundation of China(Grants No.72271248,71801227,72201149);the Nation Key Research and Develop-ment Program of China(Grant No.2020YFB1600400);the Higher-end Think-Tank Project of Central South University(Grant No.2022znzk07);the China Postdoctoral Science Foundation(Grant No.2022M711818).
Drivers are not far-sighted when they execute lane-changing manipulation.To address this issue,this study proposes a rule to improve vehicles'lane-changing decisions with accurate information of surrounding vehicles(e...
supported in part by the National Natural Science Foundation of China(No.51905405);Basic Research Program of Natural Science of Shaanxi Province(No.2022JM-407);Guiding Program of Science and Technology of China Textile Industry Federation(No.2020106).
In a multi-lane area,the increasing randomness of lane changes contributes to traffic insecurity and local traffic flow instability.A study on safe lane shifting activity that focuses on threat assessment under real-t...
supported and funded by the Transport Area of Advance.The project IRIS is acknowledged for financial support.
We propose pro-social control strategies for connected automated vehicles(CAVs)to mitigate jamming waves in mixed-autonomy multi-lane traffic,resulting from car-following dynamics of human-driven vehicles(HDVs).Differ...
This work was supported by the National Natural Science Foundation of China(Grant No.51808148);Natural Science Foundation of Guangdong Province,China(No.2019A1515010701);Guangzhou Municipal Science and Technology Project(No.201904010188).
Many bridge design specifications consider multi-lane factors(MLFs)a critical component of the traffic load model.Measured multi-lane traffic data generally exhibit significant lane disparities in traffic loads over m...
supported by the National Nature Science Foundation of China under Grant No.61502226;the Jiangsu Provincial Transportation Science and Technology Project No.2017X04;the Fundamental Research Funds for the Central Universities
Lane line detection is a fundamental step in applications like autonomous driving and intelligent traffic monitoring. Emerging applications today have higher requirements for accurate lane detection. In this paper, we...
sponsored by Alaska University Transportation Center(AUTC,No.RR08.08);Alaska Department of Transportation(AK DOT)
Existing studies on modern roundabouts performance are mostly based on data fron: singe lane roundabouts that are not heavily congested. For planners and designers interested in building multilane roundabouts for int...
Horizontal alignment greatly affects the speedof vehicles at rural roads. Therefore, it is necessary toanalyze and predict vehicles speed on curve sections.Numerous studies took rural two-lane as research subjectsand ...
In this paper, we have investigated two observed situations in a multi-lane road. The first one concerns a fast merging vehicle. The second situation is related to the case of a fast vehicle leaving the fastest lane b...
Supported by Key Natural Science Foundation of Hebei Education Department (No.ZD200911);Technology R&D Program of Hebei Province(No.11213518d)
For the realtime classification of moving vehicles in the multi-lane traffic video sequences, a length-based method is proposed. To extract the moving regions of interest, the difference image between the updated back...