Simulation analysis of highway autonomous driving dedicated lane setting

Zhijun Zhang; Yifan Li

doi:10.1117/12.3023959

14 February 2024 Simulation analysis of highway autonomous driving dedicated lane setting

Zhijun Zhang, Yifan Li

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130182T (2024) https://doi.org/10.1117/12.3023959
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

With the rapid development of automatic driving technology, lv3 level vehicles have now landed, which indicates that the environment of automatic driving and manual driving environment will exist for a long time. The setting of highway automatic driving lanes can provide a more efficient and safer driving environment for autonomous tvehicles. In this paper, by constructing a simulation model and combining the designed simulation scheme, research is carried out on a two-way six-lane highway to explore the conditions for the setting of automatic driving lanes and analyze the results with the speed and the average delay as the indexes. The conclusion is drawn: When one dedicated lane is set up, the proportion of automatic driving should be no less than 60% when the traffic volume is small; when the traffic volume is large, the proportion of automatic driving should be no less than 20%. When two dedicated lanes are set up, it is necessary to ensure that the proportion of automated driving is not less than 40% when the traffic volume is small;When the traffic volume is large, the proportion of automatic driving is not less than 20%. And it is expected to provide a certain reference for the subsequent research on the setting of automatic driving lane.

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

Citation Download Citation

Zhijun Zhang and Yifan Li "Simulation analysis of highway autonomous driving dedicated lane setting", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130182T (14 February 2024); https://doi.org/10.1117/12.3023959

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