Tian, Daxin, Shan, Xiongyu, Sheng, Zhengguo, Wang, Yunpeng, Tang, Wenzhong and Wang, Jian (2017) Break-taking behaviour pattern of long-distance freight vehicles based on GPS trajectory data. IET Intelligent Transport Systems, 11 (6). pp. 340-348. ISSN 1751-956X

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Abstract

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

Item Type:	Article
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Research Centres and Groups:	Sensor Technology Research Centre
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television
Depositing User:	Zhengguo Sheng
Date Deposited:	28 Apr 2017 09:36
Last Modified:	25 Aug 2017 20:32
URI:	http://srodev.sussex.ac.uk/id/eprint/67553

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