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A Method for Detecting Driver's Risk Level Based on Hidden Markov Model

A hidden Markov and risk level technology, applied in the level field, can solve the problems of less research on driver risk level identification and cannot meet traffic safety management, so as to reduce casualties and property losses, improve overall safety, and improve safety effect

Active Publication Date: 2022-07-19
CHANGAN UNIV
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Problems solved by technology

[0003] At present, the existing achievements are mainly on the evaluation of driver risk level, and there are few studies on driver risk level identification, which cannot meet the requirements of traffic safety management.

Method used

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  • A Method for Detecting Driver's Risk Level Based on Hidden Markov Model
  • A Method for Detecting Driver's Risk Level Based on Hidden Markov Model
  • A Method for Detecting Driver's Risk Level Based on Hidden Markov Model

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Embodiment Construction

[0034] The present invention will be further described below with reference to the accompanying drawings.

[0035] The invention firstly designs the acceleration index by analyzing the speed data of each driver, and uses the characteristic index to identify the driving behavior sequence of the driver. Then, using the obtained alarm type of each driver, the K-Means clustering method is used to classify the drivers into low-risk drivers, medium-risk drivers and high-risk drivers. The classification of the driver's risk level is the basis for the identification of the driver's risk level, and whether the classification is reasonable or not directly determines the success or failure of the recognition algorithm. After training the hidden Markov model with some data, the driving behavior sequence is recognized.

[0036] Among them, there are five driving behaviors: fast deceleration, slow deceleration, normal driving, slow acceleration, and fast acceleration.

[0037] 1. Calculat...

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Abstract

The invention discloses a method for detecting the driver's risk level based on a hidden Markov model. The invention judges the driving behavior and classifies the driver's risk level by collecting the speed data of the vehicle and the different alarm types of the driver. , using the trained hidden Markov model to identify the driver's risk level, and then use the recognition result to judge the driver's risk level. The invention mainly serves the safety management system of the transportation enterprise. When the driver is identified as a driver with a high risk level, corresponding management training measures can be taken to improve the safety. The practical application of the present invention can reduce casualties and property losses caused by traffic accidents, and improve the overall safety of the traffic system.

Description

technical field [0001] The invention belongs to the field of traffic safety, and in particular relates to a method for detecting a driver's risk level based on a hidden Markov model. Background technique [0002] With the rapid development of the national economy and the acceleration of the urbanization process, the number of motor vehicles and road traffic in my country has grown rapidly, and the problem of traffic accidents has become increasingly prominent. Existing studies have shown that driver factors are the main cause of traffic accidents. Drivers with different driving risk levels have different contributions to traffic accidents. Drivers with low risk levels may cause fewer or even avoid traffic accidents. Drivers with higher risk levels may have more serious traffic accidents. Therefore, it is particularly important to conduct in-depth research on the identification method of driver risk level. [0003] At present, the existing achievements mainly focus on the e...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/23213G06F18/24G06F18/295
Inventor 牛世峰董兆晨郑佳红付锐郭应时袁伟
Owner CHANGAN UNIV
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