Traffic Accident Prediction Methods Based on Multi-factor Models

2021 ◽  
pp. 41-52
Author(s):  
HaoZhe Zhao ◽  
Guozheng Rao
Keyword(s):  
Traffic Accident ◽  
Factor Models ◽  
Prediction Methods ◽  
Accident Prediction

Research on Traffic Accident Prediction Model for Mountainous Freeways

ICCTP 2010 ◽  
2010 ◽  
Author(s):  
Weibin Li ◽  
Xiaoduan Sun ◽  
Yulong He
Keyword(s):  
Prediction Model ◽  
Traffic Accident ◽  
Accident Prediction

Highway Traffic Accident Prediction Based on SVR Trained by Genetic Algorithm

2012 ◽  
Vol 433-440 ◽  
pp. 5886-5889 ◽  
Author(s):  
Zhen Qi Yang
Keyword(s):  
Genetic Algorithm ◽  
Support Vector Regression ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Regression Function ◽  
Support Vector ◽  
Highway Traffic ◽  
Prediction Ability ◽  
Accident Prediction ◽  
Better Than

The multi researches and experiments show that the future highway traffic accident situation is shown by the highway traffic accident prediction. In the paper, support vector regression trained by genetic algorithm is presented in highway traffic accident prediction. In the method, genetic algorithm is used to train the parameters of support vector regression. Firstly, the regression function of support vector regression algorithm is introduced, and the parameters of support vector regression are optimized by genetic algorithm. The computation results between G-SVR and SVR can indicate that the prediction ability for highway traffic accidents of G-SVR is better than that of SVR absolutely.

scholarly journals Contribution to Accident Prediction Models Development for Rural Two-Lane Roads in Serbia

2016 ◽  
Vol 28 (4) ◽  
pp. 415-424 ◽  
Author(s):  
Draženko Glavić ◽  
Miloš Mladenović ◽  
Aleksandar Stevanovic ◽  
Vladan Tubić ◽  
Marina Milenković ◽  
...  
Keyword(s):  
Multivariate Regression ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Prediction Models ◽  
Future Research ◽  
Practical Application ◽  
Accident Prediction ◽  
Accident Data ◽  
Road Characteristics ◽  
The Relationship

Over the last three decades numerous research efforts have been conducted worldwide to determine the relationship between traffic accidents and traffic and road characteristics. So far, the mentioned studies have not been carried out in Serbia and in the region. This paper represents one of the first attempts to develop accident prediction models in Serbia. The paper provides a comprehensive literature review, describes procedures for collection and analysis of the traffic accident data, as well as the methodology used to develop the accident prediction models. The paper presents models obtained by both univariate and multivariate regression analyses. The obtained results are compared to the results of other studies and comparisons are discussed. Finally, the paper presents conclusions and important points for future research. The results of this research can find theoretical as well as practical application.

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