Modeling and Optimization of Interaction Behavior between Right Turning Motor Vehicles and Pedestrians at Signalized Intersections based on Machine Learning

Authors

  • Xiaolu Ren
  • Xuanchi Li
  • Xinrong Song

DOI:

https://doi.org/10.54691/whzf3371

Keywords:

Machine Learning; Interactive Behavior; Vehicle; Behavioral Prediction.

Abstract

This project first conducted a comprehensive analysis of the interaction process between pedestrians and right turning motor vehicles and its influencing factors through a summary of existing literature and observation of actual situations. On the basis of comprehensive and accurate data, machine learning algorithms were used to model and predict the interaction behavior between pedestrians and right turning motor vehicles. By comparing different algorithms, the optimal models for predicting the yielding behavior of right turning motor vehicles and pedestrian crossing behavior in the current dataset were obtained. According to the model evaluation report, the obtained models have better predictive performance on the test set. And based on the obtained optimal model, the feature importance ranking was carried out for the pedestrian crossing model and the right turn motor vehicle yielding model, and the importance scores of the influencing factors of pedestrian crossing behavior and right turn motor vehicle yielding behavior were obtained respectively. Finally, a comparison was made between the modeling effects of the crossing gap feature group and the speed distance feature group, further clarifying the importance of the speed distance index for right turning motor vehicles in predicting interactive behavior.

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References

[1] Yuan Yongliang. Research on the Impact Mechanism of Socialized Public Crisis Information Interaction on Government Trust Based on Machine Learning [D]. Nanchang University, 2024.

[2] Research on the behavior of motor vehicles giving way at pedestrian crossings on road sections and its influencing factors [J] Time subgroup; Deng Jianhua. Transportation Technology and Economy, 2018 (05).

[3] Trajectory characteristics of right turning motor vehicles at signalized intersections [J] Qu Zhaowei; Luo Ruiqi; Chen Yongheng; Cao Ningbo; Deng Xiaolei; Wang Kunwei. Journal of Zhejiang University (Engineering Edition), 2018 (02).

[4] Driver stop/pass decision behavior based on risk return balance [J] Tang Keshuang; Zhou Nan; Dede Shi; Li Keping. Journal of Tongji University (Natural Science Edition), 2016 (11).

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[6] Characteristics of conflict between motor vehicles and pedestrians turning right ahead of schedule at signalized intersections [J] Chen Yongheng; Zhang Hu; Qu Zhaowei; Cao Ningbo. Journal of Southwest Jiaotong University, 2014 (05).

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Published

2024-09-20

Issue

Section

Articles