Analysis of the interaction between driving intention and vehicle behavior based on driving simulation experiments

Weifeng Jin; Ao Wang; Yizhao Yan

doi:10.1117/12.3024743

14 February 2024 Analysis of the interaction between driving intention and vehicle behavior based on driving simulation experiments

Weifeng Jin, Ao Wang, Yizhao Yan

Author Affiliations +

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 1301804 (2024) https://doi.org/10.1117/12.3024743
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

Analyzing the interaction patterns between vehicles is an effective means of analyzing the causes of congestion and accidents on expressways. To analyze vehicle behavior from a micro perspective, this study was conducted using a driving simulator to investigate the vehicle operational behavior generated by participants on a specific road section. Through separate interviews, the study investigated the intentions and reasons behind the participants' behavior during the replay process. The study decomposed and extracted 24 key words and structured combination the interview responses into four operational intention groups. The study found that the vehicle behavior corresponding to each operational intention group was significantly different. The analysis of the participants' operational behavior in different driving environments based on the relationships between operational intentions can provide policy recommendations for relevant transportation departments and provide theoretical support for driving behavior analysis.

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

Citation Download Citation

Weifeng Jin, Ao Wang, and Yizhao Yan "Analysis of the interaction between driving intention and vehicle behavior based on driving simulation experiments", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 1301804 (14 February 2024); https://doi.org/10.1117/12.3024743

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