Traffic Flow Forecast Based on Ga-Gm Model

摘要：

　　In recent years,with the increasing number of motor vehicles,traffic jams on urban roads have become more and more serious.Therefore,it is necessary to study road jams to accurately predict traffic flow,which is an important part of intelligent transportation.A ga-gm prediction model is proposed to predict and analyze traffic flow.Through collecting traffic flow data of a city intersection,simulation and prediction are carried out in matlab environment.The results show that the model has good prediction accuracy and certain practical value.

关键词： Traffic Flow Forecast Neural Network Ga-Gm Model

作者: Xiaohua Xu Xiaofei Hu

作者单位: Network Information Center,Zhaotong University,Zhaotong,Yunnan,657000,China School of Mathematics and Statistics,Zhaotong University,Zhaotong,Yunnan,657000,China

会议类型: 国际会议

会议名称: 2019 4th International Industrial Informatics and Computer Engineering Conference (IIICEC 2019)2019年第四届国际工业信息学和计算机工程会议(IIICEC 2019)

会议地点: 三亚

会议语种:英文

页码: 253-257

在线出版日期: 2019-12-30（万方平台首次上网日期，不代表论文的发表时间）