Analysis of Driver's Characteristics Based on Internet of Vehicles

Abstract:

The road traffic accidents caused huge economic losses and casualties, so it had been focused by the researchers. Lane changing characteristic is the most relevant characteristic with safety. The intent of lane changing was discussed. Firstly, the factors affecting the intent were analyzed, the speed satisfaction value and the space satisfaction value were proposed; then the data from the University of California, Berkeley was extracted and the number of vehicles changed lane more often and the vehicle ID were obtained; the BP neural network classification model was established, it was trained and testified by actual data. The results shown the method could predict the intent accurately.

• Periodical: Applied Mechanics and Materials (Volumes 505-506)
• Pages: 1148-1152
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.505-506.1148
• Online since: January 2014
• Authors: Jian Qun Wang, Xiao Qing Xue*, Ning Cao
• Keywords: Classification Model, Intent of Lane Changing, Space Satisfaction Value, Speed Satisfaction Value

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