Chapter
Apr 26, 2012
Optimization of Traffic Information Processing Based on Data Mining from GPS Historical Data
Authors: Nan Liu [email protected], Peng Peng [email protected], Zuzhi Shen [email protected], Haihang Han [email protected], and Mingrong Deng [email protected]Author Affiliations
Publication: International Conference on Transportation Engineering 2009
Abstract
Aiming at improving the efficiency and effectiveness of traffic information processing, the paper firstly studied how to mine the tremendous GPS historical traffic data to get a concise and typical data sample. Then, based on the principle of "Minimization of Coefficient of Variance" of selected typical samples, it is explored for the selection technique of "statistical cycle time" about traffic information processing. The approach has been applied successfully in the modeling parameter optimization of the project of "A Model Research of Traffic Congestion Based on GPS Real Time Data" and its implementation.
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© 2009 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Construction engineering
- Construction management
- Data collection
- Engineering fundamentals
- Infrastructure
- Mathematics
- Methodology (by type)
- Models (by type)
- Optimization models
- Parameters (statistics)
- Project management
- Research methods (by type)
- Statistics
- Traffic congestion
- Traffic engineering
- Traffic management
- Traffic models
- Transportation engineering
Authors
Affiliations
Department of Management Science and Engineering, School of Management, Zijin'gang Campus of Zhejiang University, Office 705-08 of Administration building, Hangzhou, Gudun Road. E-mail: [email protected]
Department of Management Science and Engineering, School of Management, Zijin'gang Campus of Zhejiang University, Office 705-08 of Administration building, Hangzhou, Gudun Road. E-mail: [email protected]
Department of Management Science and Engineering, School of Management, Zijin'gang Campus of Zhejiang University, Office 705-08 of Administration building, Hangzhou, Gudun Road. E-mail: [email protected]
Department of Communication, Zhejiang Province, Hangzhou, Meihuabei Street. E-mail: [email protected]
Department of Management Science and Engineering, School of Management, Zijin'gang Campus of Zhejiang University, Office 705-08 of Administration building, Hangzhou, Gudun Road. E-mail: [email protected]
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