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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/1751956X
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Supplemental Notes:
- Abstract reprinted with permission of the Institution of Engineering and Technology.
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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
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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
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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