pdf

Research on traffic flow combination prediction based on genetic algorithm

  • 2013-09-22
  • 170.34KB
  • Points it Requires : 2

Intelligent transportation system is currently recognized as the best measure to solve the problem of urban traffic congestion in the world. Real-time and accurate traffic flow prediction is one of the key technologies of intelligent transportation system and the premise of realizing intelligent traffic induction and control. This paper first compares the theories and advantages and disadvantages of several important traffic flow prediction models, analyzes the factors affecting the prediction model, and then proposes a traffic combination prediction method based on genetic algorithm. This method uses the characteristics of genetic algorithm group search, combines various algorithms, optimizes the prediction ideas, and fully explores the differences and advantages of different algorithms. Practice has proved that this idea is effective.

unfold

You Might Like

Uploader
sinceyoulove
 

Recommended ContentMore

Popular Components

Just Take a LookMore

EEWorld
subscription
account

EEWorld
service
account

Automotive
development
circle

About Us Customer Service Contact Information Datasheet Sitemap LatestNews


Room 1530, 15th Floor, Building B, No.18 Zhongguancun Street, Haidian District, Beijing, Postal Code: 100190 China Telephone: 008610 8235 0740

Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved 京ICP证060456号 京ICP备10001474号-1 电信业务审批[2006]字第258号函 京公网安备 11010802033920号
×