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Sep 21, 2015
Trip Activity Chain Pattern Recognition and Travel Trajectory Data Mining
Authors: Lei Wang [email protected], Zhongyi Zuo [email protected], Can Cao [email protected], and Yi Cao [email protected]Author Affiliations
Publication: ICTE 2015
Abstract
This study focuses on recognizing the travel modes and activity types in personal travel trajectory. Firstly the paper proposes a concept of trip-activity chain pattern to describe the general form of travel trajectory, and analyzes the structure and features of this pattern and its sub-patterns: trip sub-pattern and activity sub-pattern. Then normalized Euclidean distance measurement method is adopted to decompose the travel trajectory into trip and activity parts. Finally we apply RBFNN to solve the pattern recognition problem, which obtains an accuracy of 88.5% of travel mode recognition and 74.4% of activity type recognition.
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© 2015 American Society of Civil Engineers.
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Published online: Sep 21, 2015
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School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian, Liaoning 116028, China. E-mail: [email protected]
School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian, Liaoning 116028, China. E-mail: [email protected]
School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian, Liaoning 116028, China. E-mail: [email protected]
School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian, Liaoning 116028, China. E-mail: [email protected]
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