Comprehensive Optimization of Isolated Intersection Under Connected -and- Autonomous-Vehicle Environment:Platoon Strategy,Crossing Sequence and Trajectory Planning

• DOI: 10.2139/ssrn.4125883
• Publication Date: 2022-06-03T18:14:56Z
• Authors: Yong-jia Wang; Zhi-Yun Zou; Cong-Jian Liu; Ze-hao JIANG
• Keywords: Sequence (biology)

Connected and autonomous vehicles (CAVs) have attracted wide attention from the traffic engineering community as they are considered promising solutions to congestion. However, a series of challenges dwell on operation CAVs at intersections owing bottleneck road networks, such lack comprehensive optimization models efficient solution algorithms, including platoon strategy, crossing sequence, trajectory planning CAVs. This study proposed an analytical framework comprehensively optimize planning, all incorporated into one unified bilevel programming. Aiming minimize average delay CAVs, upper level adopts dynamic programming determine strategy among sequence CAV platoons, whereas achieve maximum ride comfort, lower direct method corrected model solve optimal Furthermore, case conducted indicates that can adaptively adjust rate mitigate Compared FCFS without with platooning, reduction rates were 12.8% 54.1%, respectively. In addition, improved algorithm exhibited reduced enumeration calculation times in terms solving high-volume scenario [[EQUATION]] 3494, which significantly enhanced efficiency. Lastly, sensitivity analysis was verify robustness different vehicle performance indicators.