Chapter
Apr 26, 2012
Link Travel Time Prediction Based on the Integration of Rough Set and BP Neural Network
Authors: Chen Yao [email protected] and Section Transportation and Planning, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, Netherlands, J. Van Zuylen Henk, Xia Luo, and Haixu LiuAuthor Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
Link travel time prediction is a focus of intelligent transportation system (ITS) research. Through comparing the performances of the existing prediction algorithm, this article tries to integrate rough set and BP neural network to establish a new one for link travel time prediction. By comparing the predicted values of travel time to the real travel time, the predicted model is verified to be effective.
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Information & Authors
Information
Published In
International Conference on Transportation Engineering 2009
Pages: 470 - 475
Copyright
© 2009 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Algorithms
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Engineering fundamentals
- Information Technology (IT)
- Infrastructure
- Intelligent transportation systems
- Mathematics
- Methodology (by type)
- Neural networks
- Research methods (by type)
- Traffic engineering
- Transportation engineering
- Transportation management
- Travel time
- Verification
Authors
Affiliations
College of Traffic & Transportation, Southwest Jiaotong University, Chengdu, China, 610031. E-mail: [email protected] and Section Transportation and Planning, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, Netherlands
J. Van Zuylen Henk
Section Transportation and Planning, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, Netherlands
Xia Luo
College of Traffic & Transportation, Southwest Jiaotong University, Chengdu, China, 610031
Haixu Liu
College of Traffic & Transportation, Southwest Jiaotong University, Chengdu, China, 610031
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
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