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Aberrant driving behavior monitoring and recognizing method and system based on smart mobile terminal

A technology for abnormal driving and behavior, applied in character and pattern recognition, instruments, signaling devices, etc., to solve problems such as additional installation of equipment, bad driving behavior, and limited monitoring range

Inactive Publication Date: 2015-03-25
SHANGHAI JIAO TONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But the flaws and shortcomings of this technology are: there are only three identifiable abnormal driving behaviors, and additional equipment needs to be installed
However, the disadvantages and shortcomings of this technology are: the driver's bad driving behavior is monitored through video, the monitoring range is limited, and additional equipment needs to be pre-installed

Method used

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  • Aberrant driving behavior monitoring and recognizing method and system based on smart mobile terminal
  • Aberrant driving behavior monitoring and recognizing method and system based on smart mobile terminal
  • Aberrant driving behavior monitoring and recognizing method and system based on smart mobile terminal

Examples

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Embodiment 1

[0027] The application scenario of this embodiment is: select 10 smartphones of 5 different models, including 2 Huawei Honor3C, 2 ZTE U809, 2 SAMSUNG Nexus3, 2 SAMSUNG Nexus4 and 2 HTC sprint as the monitoring and monitoring of abnormal driving behavior. Prototype of the identification system. A total of 1275 samples were collected with a collection time of 60 days.

[0028] In this embodiment, by analyzing the data collected by the smart phone sensor, extracting and selecting effective feature values, using multi-class support vector machine to train the classifier model, and then monitoring and identifying specific types of abnormal driving behaviors, and issuing warnings.

[0029] The analysis of data collected by smart phone sensors refers to collecting data from a three-axis acceleration sensor and a three-axis direction sensor, and using low-pass filtering to remove high-frequency noise from the data.

[0030] The effective eigenvalues ​​refer to: eigenvalues ​​of vario...

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Abstract

Disclosed are an aberrant driving behavior monitoring and recognizing method and system based on a smart mobile terminal. Data are collected from a sensor, characteristic value data are extracted, then a characteristic value is trained through a machine learning method, a classifier model is set up, a driving behavior pattern is intercepted in the real-time monitoring process, and six kinds of aberrant driving behaviors are judged. Sidewinding driving, rapid turning, sideslipping, rapid U turning, sudden turning and sudden braking in the aberrant driving behaviors can be fast detected through the sensor of a smart phone. An experimental result shows that the mean total precision of the specific types of the aberrant driving behaviors recognized by the system is 96.20 percent.

Description

technical field [0001] The invention relates to a technology in the field of automobile automatic control, in particular to a method and system for monitoring and identifying abnormal driving behavior based on an intelligent mobile terminal. Background technique [0002] Since the second half of the 21st century, the automobile industry, which condenses human civilization, has developed rapidly. As the main means of transportation in modern times, automobiles bring convenience to people's work and life. However, as the number of motor vehicles increases, the number of traffic accidents tends to increase. According to the statistics of the World Health Organization, traffic accidents have become one of the ten major causes of death in the world. [0003] Studies have shown that most traffic accidents are caused by human factors. Therefore, it is necessary to monitor the abnormal driving behavior of the driver and remind the driver or report the traffic bureau to record the...

Claims

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Application Information

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IPC IPC(8): G06K9/66B60Q9/00
CPCG06V30/194
Inventor 俞嘉地陈中阳乔治朱燕民
Owner SHANGHAI JIAO TONG UNIV
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