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Apr 26, 2012
Urban Road Traffic Incident Auto-Detecting Based on Decision Fusion
Authors: Changjiang Zheng [email protected], Qiang Zhou [email protected], Shuyan Chen [email protected], and Zhangxiao Yu [email protected]Author Affiliations
Publication: ICCTP 2011: Towards Sustainable Transportation Systems
Abstract
The objective of this study is to improve the performance of traffic incident detection algorithms on urban roads. The concept of algorithm performance reliability is introduced to make decision fusion which combines the results of the automatic incident detection algorithm based on floating car data and inductive loop detector data. The decision fusion algorithm in this article includes three modules: 1) Detection algorithm module based on inductive loop detector data; 2) Detection algorithm module based on floating car data; 3) Module of decision fusion, introduce the concept of algorithm reliability, calculate the weights of module, and use the weighted average method to make decision fusion. Finally, VISSIM simulation system was used to get the traffic flow data, and implement the algorithm using MATLAB. The simulation results show the algorithm of decision fusion is better than automatic incident detection algorithm of single data-source.
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© 2011 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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College of Civil and Transportation Engineering Hohai University, Xi Kang Road #1, Nanjing, China, 210098.E-mail: [email protected]
College of Civil and Transportation Engineering Hohai University, Xi Kang Road #1, Nanjing, China 210098.E-mail: [email protected]
School of Transportation, Southeast University, Si Pai Lou #2, Nanjing, China, 210096.E-mail: [email protected]
College of Civil and Transportation Engineering, Hohai University, Xi Kang Road #1, Nanjing, China, 210098.E-mail: [email protected]
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