Research On Vehicle Anti-Collision Warning System Supported By VII

Vehicle anti-collision warning system is composed of traffic environment recognitionsubsystem and vehicle safety status identification subsystem, used to improve vehicle’s activesafety performance. The environment recognition technique based on short-range wirelesscommunication can detect the abnormal traffic event at the blind area, cover the deficiency ofconventional technique, such as microwave radar. However, the difficulty that EmergencyWarning Message (EWM) delivered at long distance with low latency still haven’t been solved.On the other hand, Existing anti-collision warning systems are lack of technology method toobtain the key parameters for the safety status identification model.Firstly, Vehicle Infrastructure Integration (VII) research platform is designed here, V2Vshort-range communication technology is adopted to receive and deliver EWM. To satisfy thesystem’s requirements for low latency of EWM transmission in the case of limited wirelessbandwidth, congestion control strategy of EWM transmission is researched, which control EWMtransmission delay via system adjust EWM delivery rate. Simulating experiment demonstrates thatsystem’s EWM delivery latency can reach convergence finally.Secondly, in view of low traffic efficiently caused by vehicle response to the EWM blindlyand meet the EWM remote delivery requirement. EMW routing with variable-aim、single andoriented delivery method is proposed here, system select the EWM which is related with safetystatus of current vehicle and define the priority to transmit the EWM. At the same time, achieveEWM remote delivered via vehicle to road collaborative communication.Finally, focusing on lack of methods to obtain the dynamic braking deceleration for thesafety status identification model, the way to identify the type of the road surface via V2Rshort-range communication technology is adopted here, the dynamic braking deceleration was obtained according to the adhesion coefficient-slip function. A new critical following distancemodel was established by forecasting vehicle braking process. Simulation experimentdemonstrates that this model is close to actual vehicle braking process and with high adaptivecapacity.