This paper presents a development and evaluations of the Advanced Emergency Braking System (AEBS) Algorithm for the commercial vehicle. The AEBS is the system to slow the vehicle and mitigate the severity of an impact when a rear end collision probability is increased. To mitigate a rear end collision of the commercial heavy truck, the AEBS comprises of a millimeter wave radar sensor, CCD camera and vehicle parameters of which are processed to judge the likelihood of a collision occurring. If the likelihood of a rear end collision with an obstacle is judged as probable, warning signals are provided to alert the driver by the AEBS algorithm. If driver fail to react to the warnings when the collision likelihood is judged as being high, the AEBS algorithm applies autonomous braking in order to reduce the impact speed.

To demonstrate the control performance of the proposed AEBS algorithm’s, longitudinal vehicle model of the commercial target vehicle was developed by using the real vehicle’s test data and vehicle dynamics. Also, closed-loop simulation of the AEBS was conducted.

In order to indicate the safety level of the driving situation, new safety indexes are suggested. From the simulation result and analysis using this safety indexes, it is shown that proposed AEBS algorithm can enhance the commercial heavy truck's longitudinal safety in the dangerous driving situation which can be occurred rear-end collision.