Chapter
Apr 26, 2012
Congestion Management Methods Based on Traffic Information Granular Computing
Authors: Xiaofeng Ji [email protected] and Department of Traffic and Transportation, School of Mines, China University of Mining and Technology, Xuzhou., Lan Liu [email protected], Zenghui He [email protected], and Xin Li [email protected]Author Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
In order to provide decision support for regional network congestion management, Granular computing theory was applied in traffic information processing. Traffic information granule and its granularity were defined, and then a methodology that provides a framework of congestion management for regional network was presented based on traffic information granular computing. A method was proposed for traffic state information granule construction based on extension set, and then the visualization traffic flow feature granule construction method was proposed. The numerical results of a case study indicates that the traffic state information granule can identify traffic state on line, and traffic flow feature granule can satisfy the needs of congestion management better. The results show that the existing traffic information processing methods could be integrated based on traffic information granular computing, and also can improve efficiency of congestion management.
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© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Business management
- Computer networks
- Computing in civil engineering
- Construction engineering
- Construction methods
- Engineering fundamentals
- Engineering materials (by type)
- Granular materials
- Information management
- Infrastructure
- Management methods
- Materials engineering
- Practice and Profession
- Traffic congestion
- Traffic engineering
- Traffic flow
- Traffic management
- Transportation engineering
Authors
Affiliations
College of Traffic and Transportation, Southwest Jiaotong University, P.O. Box 581, Chengdu, ST 111. E-mail: [email protected] and Department of Traffic and Transportation, School of Mines, China University of Mining and Technology, Xuzhou.
College of Traffic and Transportation, Southwest Jiaotong University, P.O. Box 581, Chengdu, ST 111. E-mail: [email protected]
College of Traffic and Transportation, Southwest Jiaotong University, P.O. Box 581, Chengdu, ST 111. E-mail: [email protected]
College of Traffic and Transportation, Southwest Jiaotong University, P.O. Box 581, Chengdu, ST 111. E-mail: [email protected]
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