Combined Prediction Research of City Traffic Flow Based On Genetic Algorithm

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 system.In 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 algorithms 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.

关键词： genetic algorithm traffic flow combined prediction Forecast Intelligent Transportation System

作者: Song Yuecong Hu Wei Bi Guotang

作者单位: Department of Computer Science & Engineering,Mianyang Normal University,Mianyang 621000 China College of Computer Science & Technology,Southwest University of Science and Technology,Mianyang 621

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）