Chapter
Jun 29, 2016
Smart-Phone Trace Segmentation for Trip Information Extraction
Authors: Lei Wang [email protected], Wanjing Ma [email protected], and Zhongyi Zuo [email protected]Author Affiliations
Publication: CICTP 2016
Abstract
Trajectory information recognition is an efficient and convenient approach for trip information obtaining. The trajectory segmentation is a pivotal step to group data into travel parts and activity parts. This paper presents a study on a novel fast search clustering method generalized into the trajectory segmentation. The clustering algorithm was extended and the selection of the cut-off distance was discussed. A comparison among four segmentation methods including two empirical and two clustering methods were conducted to examine the effect of them. The result shows that the two clustering methods achieve lower segment error rate, point error rate, and miss rate than the empirical methods. The fast search algorithm works with the three error rates below 0.03, which can provide reliable samples for information recognition.
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Published In
CICTP 2016
Pages: 249 - 261
Copyright
© 2016 American Society of Civil Engineers.
History
Published online: Jun 29, 2016
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Affiliations
The Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., 4800 Cao’an Rd., Shanghai 201804, China. E-mail: [email protected]
The Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji Univ., 4800 Cao’an Rd., Shanghai 201804, China. E-mail: [email protected]
School of Traffic and Transportation Engineering, Dalian Jiaotong Univ., Dalian, Liaoning 116028, China. E-mail: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.