Paper
22 December 2021 Research on prediction method of driver's lane changing behavior based on simulated driving
Junzhe Lu, Jiangtian Li, Jie Feng, Pengxu Huang, Wei Wang
Author Affiliations +
Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 1205827 (2021) https://doi.org/10.1117/12.2619670
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China
Abstract
The driver’s decision and behavior are important factors affecting traffic safety. This paper uses 22 participants to participate in a simulated driving experiment, integrated driver's driving behavior parameters and vehicle operating parameters for in-depth research as well as analysis, additionally statistical analysis on various indicators in lane change intention phase through independent sample T test, etc. The study has disclosed the effectively influence of the factors, which includes eye movement, head movement, and the vehicle related factors e.g.t vehicle speed, vehicle deviation angle, lateral acceleration, the distance to vehicle in front and the time to collision, etc. These factors change significantly between the different intention phases of lane keeping and lane change. Herein a steering prediction model is constructed based on logistic regression, which is verified to be highly effective. The accuracy of the prediction model in the experiment reached 94.4%, which means the effective complement of the prediction of lane change behavior.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Junzhe Lu, Jiangtian Li, Jie Feng, Pengxu Huang, and Wei Wang "Research on prediction method of driver's lane changing behavior based on simulated driving", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 1205827 (22 December 2021); https://doi.org/10.1117/12.2619670
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KEYWORDS
Head

Analytical research

Eye

Data modeling

Roads

Statistical analysis

Safety

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