Examining Bayesian network modeling in identification of dangerous driving behavior

Yichuan Peng,Yuming Jiang,Leyi Cheng,Shengxue Zhu,Yanyong Guo

doi:10.1371/journal.pone.0252484

Yichuan Peng, Yuming Jiang + Show 3 more

Open Access

https://doi.org/10.1371/journal.pone.0252484

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Journal: PloS one	Publication Date: Aug 13, 2021
Citations: 13	License type: CC BY 4.0

Affiliation: Huaiyin Institute of Technology, Tongji University

Abstract

Traffic safety problems are still very serious and human factor is the one of most important factors affecting traffic crashes. Taking Next Generation Simulation (NGSIM) data as the research object, this study defines six control indicators and uses principal component analysis and K-means++ clustering methods to get the driving style of different drivers. Then use the Bayesian Networks Toolbox (BNT) and MCMC algorithm to realize the structure learning of Bayesian network. and parameter learning was completed through Netica software. Finally, the vehicle-based traffic crash risk model was created to conduct sensitivity analysis, posterior probability inference, and simulation data was used to detect the feasibility of the model. The results show that the Bayesian network modeling can not only express the relationship between the crash risk and various driving behaviors, but also dig out the inherent relationship between different influencing factors and investigate the causes of driving risks. The results will be beneficial to accurately identify and prevent risky driving behavior.

Highlights

With the development of the transportation industry, the number of cars has increased, and the situation of road traffic safety has become more severe
Driving risk identification and cause analysis more types of dangerous driving behaviors, which can ensure the safety of vehicle operation better
This paper proposes to use Bayesian network to build a vehicle operation risk assessment model

Summary

Introduction

With the development of the transportation industry, the number of cars has increased, and the situation of road traffic safety has become more severe. In 1993, the driving style was first defined as the driver’s habitual driving method during driving, and it was emphasized that driving style is a unique driving attribute of each person [12]. It will affect the driver’s speed control, driving awareness, driving skills and many other aspects during driving which have a great relationship with traffic safety [13,14,15].

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