DocumentCode
724305
Title
Study on ant colony optimization for traffic assignment problem
Author
Suxin Wang ; Leizhen Wang ; Silei Wu ; Xiaoqi Li ; Yongqing Li
Author_Institution
Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
fYear
2015
fDate
23-25 May 2015
Firstpage
3376
Lastpage
3378
Abstract
Traffic assignment model is difficult to get global solution and impact its practical application. In order to solve this problem, ant colony optimization (ACO) was applied to multi-path traffic assignment problem. Tabu matrixes based on paths are established for ant colony optimization (ACO). Traffic assignment was processed by ACO, evaluated and filtered ant lines according to optimal aim, circulated until meet terminate qualification. A practical case illustrated that traffic assignment results better than reference optimal aim, and provide an algorithm to traffic assignment model.
Keywords
ant colony optimisation; matrix algebra; road traffic; search problems; ACO; ant colony optimization; multipath traffic assignment problem; tabu matrixes; Ant colony optimization; Approximation algorithms; Electronic mail; Linear programming; Prediction algorithms; Roads; Vehicles; ant colony optimization (ACO); multi-path; traffic assignment; traffic engineering; traffic network;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7162504
Filename
7162504
Link To Document