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A smart phone-based driving behavior detection method

A smart phone and detection method technology, applied in the field of intelligent transportation, can solve the problems of low acceptability, poor applicability, and low detection accuracy, and achieve good robustness, improved reliability, and low cost effects

Active Publication Date: 2020-11-17
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a smart phone-based driving behavior detection method for the above-mentioned deficiencies in the background technology. High solution cost, low acceptability, incapable of all-weather detection, poor applicability, and low detection accuracy technical problems

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  • A smart phone-based driving behavior detection method

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Embodiment Construction

[0016] The technical solution of the invention will be described in detail below in conjunction with the accompanying drawings.

[0017] In order to achieve low-cost driving detection, we use smart phones to collect vehicle driving data. Most smart phones on the market have an inertial sensor unit (IMU, Inertial Measurement Unit) including a gyroscope and an accelerometer. The data collected by the inertial sensor unit in different driving behavior scenarios is used as the data set of the machine learning algorithm based on the proximity algorithm (KNN, K-Nearest Neighbor). The KNN machine learning algorithm mines the judgment rules of driving behavior from the data set and manually The collected data in each driving behavior scene is used as a standard template. The KNN machine learning algorithm conducts preliminary identification on the data to be tested collected by the inertial sensor unit to select data segments with motion. Dynamic time warping algorithm (DTW, Dynamic T...

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Abstract

The invention discloses a driving behavior detection method based on a smart phone, relates to the monitoring of vehicle driving habits, and belongs to the technical field of intelligent transportation. Use the smart phone to collect inertial sensor data under different driving behavior scenarios, cut the standard templates of each driving behavior from the inertial sensor data under different driving behavior scenarios, and dig out the judgment rules based on the proximity algorithm learning machine. The data to be detected collected by the mobile phone is initially classified and the data to be detected corresponding to the sampling time interval of the preliminary classification result is intercepted as a segment with motion. The dynamic time warping algorithm is used to compare the standard template corresponding to the preliminary classification result and the segment with motion. According to the comparison results, the driving behavior corresponding to the data to be detected can be determined. It can operate reliably in various natural environments, output high-precision driving behavior data around the clock, and greatly improve the reliability, accuracy and efficiency of the detection system.

Description

technical field [0001] The invention discloses a driving behavior detection method based on a smart phone, relates to the monitoring of vehicle driving habits, and belongs to the technical field of intelligent transportation. Background technique [0002] Driving behavior analysis currently has a very large market in fields such as fleet management and auto insurance. By detecting and scoring the driver's driving behavior, relevant personnel can take a series of measures to improve driving efficiency, drive safety and reduce environmental pollution. In order to monitor the driver's driving behavior, some companies currently launch special equipment to record changes in the data collected by different sensors to monitor driving behavior. The recorded information can be retrieved manually or sent to the Internet through a wireless network. The main disadvantage is that the initial cost is high. The acceptance is low, the cost is high, and it is not suitable for a wide range o...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W40/09H04M1/725H04M1/72454
Inventor 孙蕊程琦
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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