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

Yong Pan | Zendy; Xiangmo Zhao | Zendy; Zhigang Xu | Zendy; Junwei Li | Zendy; Yifei Li | Zendy; Liu Li | Zendy

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

Author(s) -

Yong Pan,

Xiangmo Zhao,

Zhigang Xu,

Junwei Li,

Yifei Li,

Liu Li

Publication year - 2021

Publication title -

journal of advanced transportation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.577

H-Index - 46

eISSN - 2042-3195

pISSN - 0197-6729

DOI - 10.1155/2021/2020882

Subject(s) - support vector machine , computer science , public security , public transport , computer security , artificial intelligence , engineering , transport engineering , psychology , criminology

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.

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