Highway Traffic Accident Prediction Based on SVR Trained by Genetic Algorithm

摘要：

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．

关键词： highway traffic accident support vector regression prediction model genetic algorithm

作者: YANG Zhen-Qi

作者单位: Shandong Jiaotong University Jinan 250023,China

会议类型: 国际会议

会议名称: 2011 International Conference on Manufacturing and Industrial Engineering(ICMIE 2011)(2011年制造及工业工程国际会议)

会议地点: 海口

会议语种:英文

页码: 225-228

在线出版日期: 2011-02-22（万方平台首次上网日期，不代表论文的发表时间）