原文传递
Multilane Signal-Free Intersection Cooperation Scheme for Connected and Automated Vehicles with Local Dynamic Resequencing Strategy
| 题名： | Multilane Signal-Free Intersection Cooperation Scheme for Connected and Automated Vehicles with Local Dynamic Resequencing Strategy |
| 正文语种： | eng |
| 作者： | Dekui Gong;Yuan Zhao;Ying Li;Jian Gong;Hui Zhao;Lei Ding |
| 作者单位： | College of Computer and Information Engineering Tianjin Normal Univ. Tianjin 300382 China;College of Information Engineering Dalian Univ. Dalian 116622 China College of Information Engineering Dalian Univ. Dalian 116622 China;College of Computer and Information Engineering Tianjin Normal Univ. Tianjin 300382 China;Intelligent Transportation System Center Southeast Univ. Nanjing 210096 China;School of Aitificial Intelligence Shengyang Univ. of Technology Shenyang 110870 China School of Aitificial Intelligence Shengyang Univ. of Technology Shenyang 110870 China;Institute of Advanced Technology Nanjing Univ. of Posts and Telecommunications Nanjing 210003 China |
| 摘要： | This paper studies a new vehicle cooperation scheme for connected and automated vehicles(CAVs)at a multilane signal-free intersection. Firstly, the collision set for each vehicle is constructed, which contains all conflict vehicles that need to be considered by the host vehicle. Then, the cooperation problem of CAVs is formulated into a multiobjective optimization problem to improve traffic mobility, ensure driving comfort and reduce energy consumption according to a global crossing sequence. Thirdly, we propose the local dynamic resequencing(LDR)strategy and vehicle travel time searching algorithm to determine the most efficient global crossing sequence. Specifically, using the LDR strategy, we can obtain the list of new arriving vehicles in the control zone during a fixed time and calculate all the crossing sequences of these vehicles. To evaluate the crossing sequences, we give the vehicle travel time searching algorithm, by which the most effective crossing sequence with the lowest total travel time will be selected. Finally, the simulation results show that the proposed scheme with the LDR strategy can decrease the average travel time by 42.99%-81.66% and reduce fuel consumption by 5.32%-60.52%, in contrast to the no-control(NC)strategy when the range of vehicle arrival rate increases from 360 to 900 vehicles/h/lane. In comparison with the dynamic resequencing(DR)strategy, the LDR strategy can guarantee the fairness of vehicle traffic. In addition, the proposed scheme with the LDR strategy has a good computational performance compared with the first-in-first-out(FIFO)and model predictive control(MPC)strategies and can ensure the safety of vehicle traffic effectively. |
| 出版年： | 2023 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 149 |
| 期： | 9 |
| 页码： | 04023085.1-04023085.10 |
相关文献
- Congestion-aware heterogeneous connected automated vehicles cooperative scheduling problems at intersections
- Integrating Bus Priority and Presignal Method at Signalized Intersection: Algorithm Development and Evaluation
- Decentralized arterial traffic signal optimization with connected vehicle information
- A study of the environmental impacts of intelligent automated vehicle control at intersections via V2V and V2I communications
- A Planning Control Strategy Based on Dynamic Safer Buffer to Avoid Traffic Collisions in an Emergency for CAVs at Nonsignalized Intersections
- Heuristic Platoon Control Method for CAVs at Urban Intersections
检索历史
应用推荐
