A Methodology for Identifying Urban Traffic Corridors Using Big Data of Cell Phone Trajectory
Urban traffic corridors are the main arteries of urban traffic operation. Accurate identification of urban traffic corridors is a vital problem that should be addressed in urban public traffic planning. In this paper, a new method for identifying traffic corridors, method of trajectory intersection clustering (MTIC), is proposed. Users’ travel trajectories were extracted from cell phone big data using a three-stage trajectory pretreatment method. Then, urban traffic corridors were identified by clustering the intersection points of extracted trajectories and inspection lines. To deal with the huge amount of data, the computing platform Apache Spark was used to implement the method. A case study based on the cell phone data collected in Nanjing in October, 2016, shows the accuracy and efficiency of the proposed method in identifying urban traffic corridors.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784481523
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Supplemental Notes:
- © 2018 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Ji, Xinkai
- Ran, Bin
- Zhang, Jian
- Hong, Yang
- Zhang, Xiaoli
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Conference:
- 18th COTA International Conference of Transportation Professionals
- Location: Beijing , China
- Date: 2018-7-5 to 2018-7-8
- Publication Date: 2018-7
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 2223-2233
- Monograph Title: CICTP 2018: Intelligence, Connectivity, and Mobility
Subject/Index Terms
- TRT Terms: Highway traffic control; Transportation corridors; Transportation planning; Urban highways
- Geographic Terms: Nanjing (China)
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01871635
- Record Type: Publication
- ISBN: 9780784481523
- Files: TRIS, ASCE
- Created Date: Jan 24 2023 9:33AM