Research on Abnormal Behavior Recognition of Buses Based on Improved Support Vector Machine

The abnormal driving behavior of buses brings about greater security threat. How to effectively identify the abnormal driving behavior of buses has become one of the problems of cracking public transportation safety. This paper constructs an abnormal behavior recognition model of buses based on impr...

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Main Authors: Yong Pan, Xiangmo Zhao, Zhigang Xu, Junwei Li, Yifei Li, Li Liu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2021/2020882
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author Yong Pan
Xiangmo Zhao
Zhigang Xu
Junwei Li
Yifei Li
Li Liu
author_facet Yong Pan
Xiangmo Zhao
Zhigang Xu
Junwei Li
Yifei Li
Li Liu
author_sort Yong Pan
collection DOAJ
description The abnormal driving behavior of buses brings about greater security threat. How to effectively identify the abnormal driving behavior of buses has become one of the problems of cracking public transportation safety. This paper constructs an abnormal behavior recognition model of buses based on improved support vector machine. Through the verification, the model has a high recognition rate, which provides an important means for further improving the safety of public transportation operations.
format Article
id doaj-art-73bb01b8c063493fa5e98b24ea5867b2
institution Kabale University
issn 0197-6729
2042-3195
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-73bb01b8c063493fa5e98b24ea5867b22025-08-20T03:33:53ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/20208822020882Research on Abnormal Behavior Recognition of Buses Based on Improved Support Vector MachineYong Pan0Xiangmo Zhao1Zhigang Xu2Junwei Li3Yifei Li4Li Liu5School of Information Engineering, Chang’an University, Shaanxi, Xi’an 710064, ChinaSchool of Information Engineering, Chang’an University, Shaanxi, Xi’an 710064, ChinaSchool of Information Engineering, Chang’an University, Shaanxi, Xi’an 710064, ChinaCHECC Data Co., LTD, Beijing 100089, ChinaCHECC Data Co., LTD, Beijing 100089, ChinaCHECC Data Co., LTD, Beijing 100089, ChinaThe abnormal driving behavior of buses brings about greater security threat. How to effectively identify the abnormal driving behavior of buses has become one of the problems of cracking public transportation safety. This paper constructs an abnormal behavior recognition model of buses based on improved support vector machine. Through the verification, the model has a high recognition rate, which provides an important means for further improving the safety of public transportation operations.http://dx.doi.org/10.1155/2021/2020882
spellingShingle Yong Pan
Xiangmo Zhao
Zhigang Xu
Junwei Li
Yifei Li
Li Liu
Research on Abnormal Behavior Recognition of Buses Based on Improved Support Vector Machine
Journal of Advanced Transportation
title Research on Abnormal Behavior Recognition of Buses Based on Improved Support Vector Machine
title_full Research on Abnormal Behavior Recognition of Buses Based on Improved Support Vector Machine
title_fullStr Research on Abnormal Behavior Recognition of Buses Based on Improved Support Vector Machine
title_full_unstemmed Research on Abnormal Behavior Recognition of Buses Based on Improved Support Vector Machine
title_short Research on Abnormal Behavior Recognition of Buses Based on Improved Support Vector Machine
title_sort research on abnormal behavior recognition of buses based on improved support vector machine
url http://dx.doi.org/10.1155/2021/2020882
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AT zhigangxu researchonabnormalbehaviorrecognitionofbusesbasedonimprovedsupportvectormachine
AT junweili researchonabnormalbehaviorrecognitionofbusesbasedonimprovedsupportvectormachine
AT yifeili researchonabnormalbehaviorrecognitionofbusesbasedonimprovedsupportvectormachine
AT liliu researchonabnormalbehaviorrecognitionofbusesbasedonimprovedsupportvectormachine