Simulation and Analysis on Overtaking Safety Assistance System Based on Vehicle-to-Vehicle Communication

Abstract

Because of the complexity and variability of an intelligent vehicle’s driving environment, it is difficult for the application of the vehicular sensors to meet the needs of the surrounding environment information entirely. Vehicle-to-vehicle (V2V) communication technology is used by target vehicles to exchange information, and obtain the driving condition and driving intention of the front driver. To obtain environmental information outside the range of vehicular sensors in advance, in this paper, a vehicle overtaking assistance system is proposed based on V2V communication. The data, including the speed, position, direction angle and steering angle obtained using V2V communication, were preliminarily processed. Then, combined with an overtaking safety distance model, the vehicle parameters, driver’s driving intention and vehicle status information were entered into an overtaking security assistance system to determine the overtaking conditions. Fuzzy theory was used to control the parameters of the overtaking safety distance model. Finally, the overtaking safety assistance system was established and the proposed algorithm was tested using PreScan/MATLAB cooperative simulation software. The results showed that the proposed overtaking safety algorithm effectively provided a warning according to environmental change and the driver’s intention, which assisted the driver to overtake and avoid the occurrence of accidents, which improved the safety performance of the vehicle.