Effects of Wireless Communication on Integrated Risk Management Based Automated Vehicle

This paper describes effects of wireless communication on integrated risk management based automated vehicle. In order to improve safety and ride comfort of automated vehicle, it is important to estimate and represent surround vehicles´ behavior such as yaw rate, absolute velocity and acceleration. Recent developments in vehicle onboard computers and wireless communications devices, also known as dedicated short-range communication (DSRC) devices allow the exchange of information between vehicles (V2V communications). The integration of wireless communications to conventional advanced driver assistant systems (ADAS) aims to enhance prediction performance of automated vehicles. Based on the probabilistic prediction of object vehicle using radar only or radar/V2V information fusion, desired steering angle and longitudinal acceleration for keeping the subject vehicle safe are derived from Model Predictive Control (MPC) approach. The performance of the proposed V2V/radar fusion algorithm has been verified via simulation studies.