English

A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment

Systems and Control 2020-10-13 v1 Systems and Control

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 the lane-change process, the safety of not only the CAV but also of all neighboring vehicles, is ensured through a collision avoidance mechanism in the control framework. The overall traffic flow efficiency is analyzed in terms of the ambient level of CHDV-CAV cooperation. The analysis outcomes are including the CAVs lane-change feasibility, the overall duration of the lane change. Lane change is a major source of traffic disturbance at multi-lane highways that impair their traffic flow efficiency. In providing a control framework for lane change in mixed traffic, this study shows how CHDV-CAV cooperation could help enhancing system efficiency.

Keywords

Cite

@article{arxiv.2010.05439,
  title  = {A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment},
  author = {Runjia Du and Sikai Chen and Yujie Li and Jiqian Dong and Paul Young Joun Ha and Samuel Labi},
  journal= {arXiv preprint arXiv:2010.05439},
  year   = {2020}
}

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TRB 2021 Annual Meeting

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