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Optimal Differential Variable Speed Limit Control in a Connected and Autonomous Vehicle Environment for Freeway Off-Ramp Bottlenecks
| 题名： | Optimal Differential Variable Speed Limit Control in a Connected and Autonomous Vehicle Environment for Freeway Off-Ramp Bottlenecks |
| 正文语种： | eng |
| 作者： | Lei Han;Lun Zhang;Weian Guo |
| 作者单位： | Key Laboratory of Road and Traffic Engineering of the Ministry of Education College of Transportation Engineering Tongji Univ. 4800 Cao'an Rd. Shanghai 201804 China;Key Laboratory of Road and Traffic Engineering of the Ministry of Education College of Transportation Engineering Tongji Univ. 4800 Cao'an Rd. Shanghai 201804 China;College of Electronic and Information Engineer-ing Tongji Univ. 4800 Cao'an Rd. Shanghai 201804 China Sino-German College of Applied Sciences Tongji Univ. 4800 Cao'an Rd. Shanghai 201804 China |
| 关键词： | Variable speed limit (VSL); Connected and autonomous vehicle (CAV); Mixed traffic flow; Off-ramp bottlenecks |
| 摘要： | When traffic congestion occurs on freeway off-ramp bottlenecks, the traffic state becomes complicated and changeable, which leads to increased vehicle travel time and decreased traffic safety and traffic efficiency. Variable speed limit (VSL) control is an effective method to improve traffic conditions, increase bottleneck throughput, improve traffic efficiency, and reduce emissions. Currently, there is an emerging trend of using connected and autonomous vehicle (CAV) technology to develop VSL control. This paper proposes an optimal differential variable speed limit (DVSL) control strategy under mixed CAVs and human-driven vehicles (HVs) environment for freeway off-ramp bottlenecks. The proposed DVSL control considers the characteristics of on-ramp, off-ramp, and mixed traffic flow (i.e., CAVs coexist with HVs). The proposed optimal DVSL control can describe and forecast the dynamics of traffic flow, and can set different speed limits across each lane with a multiple-objective function of total travel time (TTT) and total travel distance (TTD). A model predictive control (MPC) approach was utilized to optimize the DVSL control algorithm. The designed DVSL control was tested on a real-word freeway section with a simulated off-ramp bottleneck. The simulation results show that the proposed control strategy outperforms other existing methods in terms of improving the mobility of a freeway off-ramp bottleneck and maximizing the environmental benefits. Sensitivity analysis shows that the proposed control strategy can improve performance with the increase of the penetration rate (PR) of CAVs. The proposed methods form the basis of VSL control at off-ramp sections under mixed traffic environment. |
| 出版年： | 2023 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 149 |
| 期： | 4 |
| 页码： | 04023009.1-04023009.14 |
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