A Smartphone-Based Driver's Driving Style Analysis Method

Abstract

The invention provides a system and a method for analyzing a driving style of a driver based on a smartphone. The system comprises a data acquisition unit, a data storage unit and a data analysis unit; through acquisition of tri-axial accelerometer data and GPS (Global Positioning System) positioning data of the smartphone, acceleration data under the different speed conditions is obtained when the driver drives a vehicle; through analysis of the skewness and the kurtosis of the acceleration data under the different speed conditions, the characteristics of acceleration and deceleration are obtained when the driver drives the vehicle, and the driving style of the driver is finally obtained, wherein the driving style comprises a rash style, a steady style and a conservative style. According to the system and the method, the acceleration data of the vehicle under the different speed conditions can be conveniently, quickly and economically obtained, and a quantitative and quick method is provided for analyzing the driving style.

Description

technical field [0001] The present invention clearly belongs to the data processing application field of mobile phone sensors (GPS sensors, three-axis accelerometer sensors), and is specifically an analysis system and method for drivers' driving styles in urban traffic. Background technique [0002] There are a lot of researches on the relationship between driver's driving style and traffic accidents at home and abroad. From the results of the research, most of the viewpoints believe that there is a certain relationship between traffic accidents and the driver's driving style; a driver who is aggressive in a certain driving trip does not mean that the driver is aggressive, but aggressive drivers are prone to Aggressive driving behavior occurs; although the driver's driving style is difficult to change, it has certain plasticity. The driver can improve his driving behavior through a correct understanding of his own driving style, thereby reducing the impact of bad driving sty...

AI Technical Summary

Problems solved by technology

[0006] 1. In the past, questionnaires, interviews and other research methods were often used for driving style, which was time-consuming and laborious. At the same time, the identification of driving style lacked a quantitative concept

[0007] 2. Existing driving style recognition requires data acquisition mostly relying on different systems and devices to obtain data during driving. Data acquisition is cumbersome, and the amount of data is huge, making identification difficult

[0008] 3. Driving style is a reflection of the overall driving style. Now most of them identify specific driving behaviors in the driving process to identify the driving style. They fail to analyze the entire driving process as a whole, resulting in inaccurate or incomplete analysis results.

Images