Chapter
Jul 2, 2019
Utilizing Mobile Phone Signaling Data for Trip Mode Identification
Authors: Xiaoxu Chen [email protected], Chao Yang [email protected], and Xiangdong Xu [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
Trip mode identification has wide applications in transportation planning and management. The existing methods primarily use GPS data collected from mobile devices. These methods can achieve relatively high accuracy, but they have limitations in quantity, coverage, and computational complexity. This paper proposes a trip mode identification method based on mobile phone signaling data. The method mainly consists of three parts: activity node recognition, travel time computation, and clustering with a Gaussian mixed model. Experiments of the method using real mobile phone signaling data in Shanghai were performed, and the results show that the proposed method can achieve acceptable accuracy.
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Published In
CICTP 2019
Pages: 4588 - 4599
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Authors
Affiliations
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji Univ., 4800 Cao’an Rd., Shanghai 201804, China. E-mail: [email protected]
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji Univ., 4800 Cao’an Rd., Shanghai 201804, China. E-mail: [email protected]
Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji Univ., 4800 Cao’an Rd., Shanghai 201804, China. E-mail: [email protected]
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