Investigating adaptive cruise control on driving behavior in the simulator and real studies

Road traffic accidents constituted a severe public problem all over the world. About 1.5 million people around the world die in traffic-related accidents each year. The absolute impact is exacerbated by the fact that road traffic accident has become the leading cause of death, especially among young adults who constitute the most economically productive age groups of the larger society. Automobile accidents can be caused by many elements such as weather, poor road conditions, vehicle failure, according to experts, human error accounts for more than 90 percent of road accidents. This means that drivers hold the key when it comes to reducing the number of accidents (and the resulting injuries and fatalities) and that the key is improved driver safety. Each time you get behind the wheel, it is important to remember that, while vehicles provide us with easy transportation, they also have the potential to kill. Reckless driving, such as speeding or failing to follow traffic signs and signals, drunk driving, distracted driving, and other poor driving choices can cost you or someone else their lives. In this thesis, we will investigate the driver's behaviour in a real environment, and a simulation test the investigation will discuss two conditions. First, without using adaptive cruise control (ACC). In this way, the driver controls the vehicle. Second, the effect of the use of ACC in vehicles using a driving simulator and compare it to real road experimentation. The adaptive cruise control system is considered as a part of the Advanced Driving Assistance Systems (ADAS) which act an important role in driving by helping the driver complete his task and reach the destination safely. ADAS can be in different forms either fully automated or semi-automated vehicles; the new upcoming generation will have vehicles fully controlled by the ADAS to reduce the risk level on humans and a better environment.