Traffic Incident Duration Prediction Based on Artificial Neural Network
The prediction of traffic incident duration is an important foundation of advanced incident management system and driver information system. In this paper, actual traffic incident data was used to study the prediction problem of traffic incident duration by the method of neural network. 660 sets of actual traffic incident data from a freeway management center were used to train a neural network model, and 170 sets of incident data in the same data collection, which are different from training data, were used to test the prediction effect of the model. The test result shows that the correlation of the prediction values and the actual values is 0.8535, which indicates that the prediction result of the neural network model can basically represent actual incident duration.
intelligent transportation system incident management incident duration neural network
Liping Guan Weiming Liu Xiangyuan Yin Luping Zhang
School of civil engineering and transportation, South China University of Technology, Guangzhnu Guan School of civil engineering and transportation, South China University of Technology, Guangzhnu Guan Zhejiang Wanli University, Ningbo Zhejiang 315100, China
国际会议
长沙
英文
3438-3441
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）