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A Strategy for Making Lane-change Decision Based on Improved Driving Risk Field and BP Neural Network

In the Intelligent Transportation System (ITS), the driving safety of intelligent connected vehicles is a focal point and the hot topic. In the face of the increasingly complex road traffic environment, in order to assess the driving risk in real time and accurately, we propose an improved driving risk field with ellipse modification formula. Compared with the existing research, the improved model can take into account the safety differences in different directions of the road. On this foundation, a strategy for making lane-change decision based on back propagation (BP) neural network is proposed. The experiment results based on 'Mirror Traffic' data set show that the method is accurate, reliable and feasible for making lane-change decision, which further verifies the feasibility of the improved driving risk field.