Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning

Joint Authors

Wu, Fan
Lin, Yi-Hsin
Gu, Suyu
Wang, Rujun
Wu, Wei-Sheng

Source

Mobile Information Systems

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-20, 20 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-30

Country of Publication

Egypt

No. of Pages

20

Main Subjects

Telecommunications Engineering

Abstract EN

Along with the prosperity and rapid development of the national economy, the transportation industry has rapidly developed in China.

However, overloaded vehicles have been causing frequent traffic accidents.

Thus, to alleviate or resolve the corresponding problems associated with highway engineering safety and the market economy, an improved technique for overload management is urgently required.

In this study, to analyze the overload data on expressways and highways in China, we developed a machine learning model by comparing the performances of cluster analysis, backpropagation neural network (BPNN), generalized regression neural network (GRNN), and wavelet neural network (WNN) in analyzing global and local time series overload data.

In a case study, our results revealed the trends of overloading on highways in Jiangsu Province.

Given sufficient data, BPNN performed better than GRNN and WNN.

As the amount of training data increased, GRNN performed better, but the runtime increased.

WNN had the shortest runtime among the three methods and could reflect the future trends of the overload rate in the monthly data prediction of overload.

Our model provides information with potential value for expressway network management departments through data mining.

This information could help management departments allocate resources reasonably and optimize the information utilization rate.

American Psychological Association (APA)

Lin, Yi-Hsin& Gu, Suyu& Wu, Wei-Sheng& Wang, Rujun& Wu, Fan. 2020. Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning. Mobile Information Systems،Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1192442

Modern Language Association (MLA)

Wu, Wei-Sheng…[et al.]. Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning. Mobile Information Systems No. 2020 (2020), pp.1-20.
https://search.emarefa.net/detail/BIM-1192442

American Medical Association (AMA)

Lin, Yi-Hsin& Gu, Suyu& Wu, Wei-Sheng& Wang, Rujun& Wu, Fan. Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning. Mobile Information Systems. 2020. Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1192442

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1192442