Combined Prediction Research of City Traffic Flow Based On Genetic Algorithm

作     者：Song Yuecong 1 Hu Wei 1 Bi Guotang 2 (1. Department of Computer Science & Engineering Mianyang Normal University Mianyang 621000 China) (2.College of Computer Science & Technology Southwest University of Science and Technology Mianyang 621010 China) 

会议名称：《2007 8th International Conference on Electronic Measurement & Instruments（ICEMI’2007）》

会议日期：2007年

学科分类：08[工学] 082303[工学-交通运输规划与管理] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基　　金：Project supported by educational reform research project of Sichuan higher education (Mnu-JY0607) 

关 键 词：genetic algorithm traffic flow combined prediction Forecast Intelligent Transportation System 

摘      要：Intenlligent Transprotation System is the best measure to solve the urban traffic jam in the world, Forecasting urban traffic network is the premise for developing urban intelligent transportation *** this paper ,some important forecasting models,including the theory and characteristic,are discussed, and the factors are discussed to influence the forecasting model. In the end ,combined prediction of city traffic flow based on genetic algorithm is given, using the characteristics of genetic algorithm’s colony search,the new algorithm combines all kinds of algorithms,optimizes the prediction way of thinking , fully discovers the advantages of different algorithms, and turns out to be practical and productive.