Modified Ant Colony Algorithm and its Application on Traffic Assignment Model
[1]Chang Yulin,Wang Xiaoting,Zhang Peng.Modified Ant Colony Algorithm and its Application on Traffic Assignment Model[J].Journal of Zhengzhou University (Engineering Science),2017,38(02):41-.[doi:10.13705/j.issn.1671-6833.2017.02.010]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
38卷
Number of periods:
2017 02
Page number:
41-
Column:
Public date:
2017-04-28
- Title:
- Modified Ant Colony Algorithm and its Application on Traffic Assignment Model
- Keywords:
- traffic assignment; intersection delay; ant algorithm; optimal path
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2017.02.010
- Abstract:
- In order to more quickly and accurately search for the optimal path,an improved ant colony algorithm was established through analyzing the process of car arriving and departure in the signalized intersection.First of all,a new pheromone update model was put forward by improving properly the pheromone update function in traditional ant colony algorithm,which used signal control delay in the intersection and the travel time of vehicles in the road section as pheromone update operators.Then,road section incremental allocation process considering intersection delays,which was through partial distributing traffic flow in the network,was designed based on improved ant colony algorithm.Finally,flow distribution in the road network was simulated based on computer language,and the network running quality was compared with traditional ant colony algorithm.The experimental results showed that the improved ant colony algorithm,which could reduce road section and intersection using rate,was of good optimization ability,and could effectively balance the network traffic and alleviate the pressure of intersections.
- References:
- -
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