A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment
Runjia Du, Sikai Chen, Yujie Li, Jiqian Dong, Paul Young Joun Ha,, Samuel Labi

TL;DR
This paper proposes a cooperative control framework for CAV lane changing in mixed traffic, ensuring safety and efficiency through vehicle cooperation and collision avoidance mechanisms.
Contribution
It introduces a novel control framework enabling cooperative lane changing between CAVs and HDVs, enhancing safety and traffic flow in mixed environments.
Findings
Cooperative control improves lane change safety.
Enhanced traffic flow efficiency in mixed traffic.
Collision avoidance is effective during lane changes.
Abstract
In preparing for connected and autonomous vehicles (CAVs), a worrisome aspect is the transition era which will be characterized by mixed traffic (where CAVs and human-driven vehicles (HDVs) share the roadway). Consistent with expectations that CAVs will improve road safety, on-road CAVs may adopt rather conservative control policies, and this will likely cause HDVs to unduly exploit CAV conservativeness by driving in ways that imperil safety. A context of this situation is lane-changing by the CAV. Without cooperation from other vehicles in the traffic stream, it can be extremely unsafe for the CAV to change lanes under dense, high-speed traffic conditions. The cooperation of neighboring vehicles is indispensable. To address this issue, this paper develops a control framework where connected HDVs and CAV can cooperate to facilitate safe and efficient lane changing by the CAV. Throughout…
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Taxonomy
TopicsTraffic control and management · Autonomous Vehicle Technology and Safety · Traffic and Road Safety
