Investigation of lane-changing decision-making models for autonomous vehicles

Wei Wu; Jiajun Ye; Weiping Tong; Youkai Cui

doi:10.1117/12.2613917

10 November 2021 Investigation of lane-changing decision-making models for autonomous vehicles

Wei Wu, Jiajun Ye, Weiping Tong, Youkai Cui

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 1205003 (2021) https://doi.org/10.1117/12.2613917
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

As a promising method to improve traffic safety, mobility and environmental impacts, autonomous vehicles will inevitably be the future of transportation. Both car following (CF) and lane changing (LC) are the most basic and frequent maneuver in autonomous driving, and therefore become two key issues to focus on in recent researches about autonomous vehicle (AV) in which, lane changing modeling is even more complex and difficult as it involves more factors, such as microscopic behaviors of surrounding vehicles and traffic states of lanes. This paper introduces the whole process of lane changing of autonomous vehicles and focuses on decision making module for the sake of its great significance. An investigation on lane-changing decision-making models and algorithms is provided in this paper.

Citation Download Citation

Wei Wu, Jiajun Ye, Weiping Tong, and Youkai Cui "Investigation of lane-changing decision-making models for autonomous vehicles", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 1205003 (10 November 2021); https://doi.org/10.1117/12.2613917

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