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Proceedings of 2010 Cross-Strait Conference on Information Science and Technology (CSCIST 2010 E-BOOK)

Qinhuangdao,China,7.9-7.13，2010

ISBN: 978-1-935068-15-0 Scientific Research Publishing, USA

E-Book 840pp Pub. Date: July 2010

Category: Computer Science & Communications

Price: $120

Title: Frameworks of Data-Based Dynamic Optimality for Complex Urban Traffic Flow
Source: Proceedings of 2010 Cross-Strait Conference on Information Science and Technology (CSCIST 2010 E-BOOK) (pp 739-744)
Author(s): Runmei Li, Center for Intelligent Systems and Renewable Energy, School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing
Yongduan Song, Center for Intelligent Systems and Renewable Energy, School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing
Abstract: Larger scale, constraint complexity and more uncertainty of urban traffic system are posing great challenges on dynamic traffic flow optimality problem. On the one hand, it becomes more and more difficult to build accurate mathematical optimal models; on the other hand, the basic demand data needed by dynamic traffic flow optimality is very difficult to get entirely and accurately. While in the actual traffic management system, there are abundant historical and real-time traffic flow data from kinds of detectors. The traffic demand information and the traffic flow state information are hidden in them and can be extracted by methods with rational traffic flow detector layout. So, it is necessary to explore innovative theories and methodologies of data-based dynamic optimality problem. In this paper, based on a brief survey of the usual dynamic traffic flow optimality methods, a data-based optimal framework is proposed. Related theories for this optimal framework are discussed as well.
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