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JACIII Vol.23 No.1 pp. 114-118
doi: 10.20965/jaciii.2019.p0114
(2019)

Short Paper:

Simulated Analysis of Modeling of Driving Behavior Characteristics Based on Satellite Positioning Data

Pei Xie*,** and Lei Deng*

*School of Automobile, Chang’an University
Xi’an, Shaanxi 710000, China

**Guangdong Provincial Road Transportation Authority
Guangzhou, Guangdong 510000, China

Received:
May 29, 2018
Accepted:
July 6, 2018
Published:
January 20, 2019
Keywords:
satellite positioning data, driving behavior, modeling of driving behavior characteristics
Abstract

To promote the road transportation security, it’s necessary to study the modeling method of driving behavior characteristics. The traffic flow model realized by current modeling methods of driving behavior characteristics has a low accuracy in warning results. Therefore, based on satellite positioning data, a modeling method of driving behavior characteristics is proposed in this paper. Firstly, the dynamic model and kinetic model of traffic flow are built through the flow, speed and density parameters; then the response time, minimum safe distance and stability parameters of driving behavior are taken as the identification index of driving behavior to identify the driving behavior of drivers; according to the identification results, the psychological field theory and satellite positioning data are combined to build the model of driving behavior characteristics, and finally, warning the drivers according to their psychology and the actual situation of road. Experimental results demonstrate that the proposed method can accurately measure the traffic flow and speed, and the score of drivers’ behavior obtained has high accuracy, which verified again the high accuracy of traffic flow model and warning results of the proposed method.

Cite this article as:
P. Xie and L. Deng, “Simulated Analysis of Modeling of Driving Behavior Characteristics Based on Satellite Positioning Data,” J. Adv. Comput. Intell. Intell. Inform., Vol.23, No.1, pp. 114-118, 2019.
Data files:
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Last updated on Jun. 20, 2019