Technical Papers
Oct 18, 2021

Spatiotemporal Analysis of Overloaded Vehicles on a Highway Using Weigh-in-Motion Data

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 1

Abstract

The comprehensive coverage of weighing detection systems at the entry point of every highway in China in 2020 caused congestion and unsafe traffic. In this study, weigh-in-motion data on overloaded vehicles were obtained from the Department of Highway Transportation Management of Jiangsu Province, and a spatiotemporal analysis was performed by utilizing the spatial analysis function of a geographic information system. In addition, the weight of the overloaded vehicles was calculated using the overload rate. Furthermore, the clustering and concentration of the overloaded vehicles were obtained using the global spatial autocorrelation model. The kernel density estimation method was then used to identify areas with severe overloading and calculate the local probability of overloading in that area. Our results revealed that the spatial distribution of the overloading severity was mainly influenced by the per capita income, density of highways, industry type, and freight policy in a given region, and that it was mainly concentrated in transportation hubs and areas with high traffic and complex logistics (e.g., municipal and provincial boundaries). Finally, the temporal aggregation of overloading was primarily affected by the level of law enforcement and freight policy because vehicles with high overload rates were mainly concentrated between 12:00 and 4:00 a.m.

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Data Availability Statement

The data used to support the findings of this study are available from the corresponding author upon request.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 71573037) and the Priority Academic Program Development of Jiangsu Higher Education Institutions in China (Grant No. 1105007002).

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 148Issue 1January 2022

History

Received: Mar 6, 2021
Accepted: Aug 31, 2021
Published online: Oct 18, 2021
Published in print: Jan 1, 2022
Discussion open until: Mar 18, 2022

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Associate Professor, School of Civil Engineering, Southeast Univ., Dongnandaxue Rd., Nanjing 211189, China. ORCID: https://orcid.org/0000-0002-8119-4921. Email: [email protected]
Postgraduate Student, School of Civil Engineering, Southeast Univ., Dongnandaxue Rd., Nanjing 211189, China. Email: [email protected]
Officer, Changzhou Transportation Comprehensive Administrative Law Enforcement Detachment, 2 Lihua North Rd., Tianning District, Changzhou 213000, China. Email: [email protected]
Postgraduate Student, School of Civil and Environmental Engineering, Nanyang Technological Univ., 50 Nanyang Ave., Singapore 639798. Email: [email protected]
Associate Professor, School of Civil Engineering, Southeast Univ., Dongnandaxue Rd., Nanjing 211189, China (corresponding author). Email: [email protected]

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Cited by

  • Development and Temperature Correction of Piezoelectric Ceramic Sensor for Traffic Weighing-In-Motion, Sensors, 10.3390/s23094312, 23, 9, (4312), (2023).
  • Formation and evolution mechanisms of truck overweight phenomenon in mainland China: Systematic and historical perspectives, Safety Science, 10.1016/j.ssci.2022.106005, 159, (106005), (2023).

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