The number of urban road traffic accidents is increasing all the time, which is greatly threatening the safety of people’s lives and property. This paper uses Bayesian network theory to analyze the causes of road traffic accidents; it selects urban road systems as the subject to confirm the accident factors and reform the risk factors to improve the urban road safety. Finally, this paper uses a true case to infer, predict, and diagnose the model, and the model is validated to be feasible and effective. The research can provide the basis for the improvement of traffic conditions and propose appropriate measures for improvement, to reduce accidents, and to improve the urban road traffic safety.
The Analysis of Urban Traffic Accidents Based on Bayesian Network
17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China
CICTP 2017 ; 4879-4888
2018-01-18
Conference paper
Electronic Resource
English
Critical Factors Analysis of Severe Traffic Accidents Based on Bayesian Network in China
DOAJ | 2020
|Analysis of Roadway Traffic Accidents Based on Rough Sets and Bayesian Networks
DOAJ | 2018
|Risk factors in urban road traffic accidents
Elsevier | 2005
|Analysis of traffic accidents at urban intersections in Riyadh
Online Contents | 2003
|