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Break-taking behaviour pattern of long-distance freight vehicles based on GPS trajectory data.pdf (736.17 kB)

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

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posted on 2023-06-09, 05:58 authored by Daxin Tian, Xiongyu Shan, Zhengguo ShengZhengguo Sheng, Yunpeng Wang, Wenzhong Tang, Jian Wang
This paper 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. Based on Global Positioning System (GPS) trajectory data, we 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. We 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. We 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 we experimental analysis 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 can validate the above theoretical analysis. Key words: break-taking behaviour, long-distance freight vehicle, statistical analysis

History

Publication status

  • Published

File Version

  • Accepted version

Journal

IET Intelligent Transport Systems

ISSN

1751-956X

Publisher

Institution of Engineering and Technology (IET)

Issue

6

Volume

11

Page range

340-348

Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Sensor Technology Research Centre Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2017-04-28

First Open Access (FOA) Date

2017-04-28

First Compliant Deposit (FCD) Date

2017-04-27

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