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Discrete Dynamics in Nature and Society
Volume 2015 (2015), Article ID 642389, 8 pages
Research Article

Distributed Dynamic Traffic Modeling and Implementation Oriented Different Levels of Induced Travelers

Yan Liu1 and Yao Yu2

1School of Computer Science and Technology, Changchun Normal University, Changchun 130025, China
2College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China

Received 3 July 2014; Accepted 25 August 2014

Academic Editor: Yongjun Shen

Copyright © 2015 Yan Liu and Yao Yu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In order to respond to the variable state of traffic network in time, a distributed dynamic traffic assignment strategy is proposed which can improve the intelligent traffic management. The proposed dynamic assignment method is based on utility theory and is oriented to different levels of induced users. A distributed model based on the marginal utility is developed which combines the advantages of both decentralized paradigm and traveler preference, so as to provide efficient and robust dynamic traffic assignment solutions under uncertain network conditions. Then, the solution algorithm including subroute update and subroute calculation is proposed. To testify the effectiveness of the proposed model in optimizing traffic network operation and minimizing traveler’s cost on different induced levels, a sequence numerical experiment is conducted. In the experiment, there are two test environments: one is in different network load conditions and the other is in different deployment coverage of local agents. The numerical results show that the proposed model not only can improve the running efficiency of road network but also can significantly decrease the average travel time.