Identification of highway dangerous driving behavior based on hidden markov model

Jian Wang; Jun Li; Xiaowei Hu

doi:10.1201/b17190

Identification of highway dangerous driving behavior based on hidden markov model

School of Transportation Science and Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This paper extracts four dangerous driving behavior characteristic factors (vehicle speed, acceleration, time headway, distance from the right edge of the line to vehicle). Combined with Hidden Markov Model, they are applied in the study of highway identification of dangerous driving behavior. Taking recognition accuracy as evaluation index, proved the feasibility of Hidden Markov Model. Results show that the model can effectively identify the highway dangerous drivng behavior.

Original language	English
Title of host publication	Civil Engineering and Urban Planning III
Publisher	CRC Press
Pages	199-202
Number of pages	4
ISBN (Electronic)	9781315743004
ISBN (Print)	9781138001251
DOIs	https://doi.org/10.1201/b17190
State	Published - 1 Jan 2014
Externally published	Yes

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10.1201/b17190

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AB - This paper extracts four dangerous driving behavior characteristic factors (vehicle speed, acceleration, time headway, distance from the right edge of the line to vehicle). Combined with Hidden Markov Model, they are applied in the study of highway identification of dangerous driving behavior. Taking recognition accuracy as evaluation index, proved the feasibility of Hidden Markov Model. Results show that the model can effectively identify the highway dangerous drivng behavior.

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Identification of highway dangerous driving behavior based on hidden markov model

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