Multi-objective optimization based on vehicle lane change

Wen An Lan

doi:10.1117/12.3024767

14 February 2024 Multi-objective optimization based on vehicle lane change

Wen An Lan

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 1301818 (2024) https://doi.org/10.1117/12.3024767
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

A multi-objective planning on vehicle lane changing is constructed, the NSGA-II algorithm is used to find the Pareto feasible solution, and the High-D dataset is introduced for validation analysis. The results show that the driver's goal in lane changing is to pursue higher speed and efficiency, when the environment of vehicle lane changing affects the initial headway spacing, headway time distance, maximum acceleration, and maximum speed when changing lanes should 6.54 ~ 8.34m ,1.08 ~ 2.32s , 2 2.24 ~ 4.56 m / s² ,31.54 ~ 46.74 / s , when the vehicle changing lane can obtain higher speed and efficiency gains with lower vehicle carbon emissions.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wen An Lan "Multi-objective optimization based on vehicle lane change", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 1301818 (14 February 2024); https://doi.org/10.1117/12.3024767

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