Multi-lane Unsignalized Intersection Cooperation with Flexible Lane Direction based on Multi-vehicle Formation Control
Mengchi Cai, Qing Xu, Chaoyi Chen, Jiawei Wang, Keqiang Li, Jianqiang, Wang, Xiangbin Wu

TL;DR
This paper introduces a flexible lane direction approach for connected and automated vehicles at unsignalized intersections, improving traffic efficiency by dynamically scheduling vehicles based on real-time distribution and formation control.
Contribution
It proposes a novel multi-lane cooperation method with flexible lane directions and vehicle formation reconfiguration, addressing limitations of fixed lane strategies.
Findings
Outperforms fixed-lane-direction methods in simulations.
Achieves collision-free vehicle scheduling.
Enhances traffic throughput at varying volumes.
Abstract
Unsignalized intersection cooperation of connected and automated vehicles (CAVs) is able to eliminate green time loss of signalized intersections and improve traffic efficiency. Most of the existing research on unsignalized intersection cooperation considers fixed lane direction, where only specific turning behavior of vehicles is allowed on each lane. Given that traffic volume and the proportion of vehicles with different turning expectation may change with time, fixed lane direction may lead to inefficiency at intersections. This paper proposes a multi-lane unsignalized intersection cooperation method that considers flexible lane direction. The two-dimensional distribution of vehicles is calculated and vehicles that are not in conflict are scheduled to pass the intersection simultaneously. The formation reconfiguration method is utilized to achieve collision-free longitudinal and…
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Taxonomy
TopicsTraffic control and management · Autonomous Vehicle Technology and Safety · Transportation Systems and Logistics
