Break-taking behaviour pattern of long-distance freight vehicles based on GPS trajectory data

This study focuses on the break-taking behaviour pattern of long-distance freight vehicles, providing a new perspective on the study of behaviour patterns and simultaneously providing a reference for transport management departments and related enterprises. On the basis of global positioning system trajectory data, the authors select stopping points as break-taking sites of long-distance freight vehicles and then classify the stopping points into three different classes based on the break-taking duration. They then explore the relationship of the distribution of the break-taking frequency between the three single classifications and their combinations, on the basis of the break-taking duration distribution. They find that the combination is a Gaussian distribution when each of the three individual classes is a Gaussian distribution, contrasting with the power-law distribution of the break-taking duration. Then, they do experimental analysis to the distribution of the break-taking durations and frequencies, and find that, for the durations, the three single classifications can be fitted individually by an exponential distribution and together by a power-law distribution, for the frequencies, both the three single classifications and together can be fitted by a Gaussian distribution, so that it can validate the above theoretical analysis.

• Record URL:
  https://doi.org/10.1049/iet-its.2016.0195
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/1751956X
• Supplemental Notes:
  • Abstract reprinted with permission of the Institution of Engineering and Technology.
• Authors:
  • Tian, Daxin
  • Shan, Xiongyu
  • Sheng, Zhengguo
  • Wang, Yunpeng
  • Tang, Wenzhong
  • Wang, Jian
• Publication Date: 2017-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 340-348
• Serial:
  • IET Intelligent Transport Systems
  • Volume: 11
  • Issue Number: 6
  • Publisher: Institution of Engineering and Technology (IET)
  • ISSN: 1751-956X
  • EISSN: 1751-9578
  • Serial URL: https://ietresearch.onlinelibrary.wiley.com/journal/17519578
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Behavior; Exponential distributions; Freight transportation; Global Positioning System; Haul distance; Stopping; Traffic engineering; Travel patterns; Truck drivers; Vehicle trajectories
• Uncontrolled Terms: Gaussian distributions
• Subject Areas: Freight Transportation; Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01646708
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 20 2017 4:25PM