# Simulation of AEBS Applicability by Changing Radar Detection Angle
###### Abstract  
As smart cities become a global topic, interest in smart mobility, the core of smart cities, is also growing. The technology that comes closest to general users is \"autonomous driving\". In particular, the successful market entry and establishment of some private companies proved that \"autonomous driving\" is not technology of the future but imminent reality. However, safety in autonomous vehicles that rely on sensors instead of the driver's five senses has been the focus of attention from the beginning and continues to be so. In this study, we attempted to counter this interest. Based on the actual data of thirty traffic accidents, assuming the AEBS (Autonomous Emergency Braking System) was installed to assist the driver in safe driving, it was reinterpreted through simulation to see what changes occurred in the accident. In the computer program, PC-Crash, the results were first analyzed through simulation using Euro NCAP (New Car Assessment Program)'s AEBS test standards. Subsequently, the other variables in the AEBS were controlled and the accident was reinterpreted by changing only the angle of the radar detection sensor. As a result, it was confirmed that a total of 27 accidents out of thirty accidents could have been prevented with the AEBS. In addition, it proved that the crash avoidance rate of vehicles gradually increased as the radar angle increased. traffic accident; ADAS; AEBS; PC-Crash; simulation 2021  
30 December 2020  
2 March 2021  
Subsibet: 5 March 2021  
**Publisher's Note:** MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. For reference, the international effort for standardization related to the database for in-depth analysis of traffic accidents is IGLAD (Initiative for the Global Harmonization of Accident Data), and in 2010, FISITA (The International Federation of Automotive Engineering Societies) also began building a traffic accident database. ACEA (European Automobile Manufacturers Association) is conducting cooperative research with the International Automobile Federation. Currently, countries such as Germany, the United States, Spain, India, Austria, and Poland are actively participating in R&D, putting forth effort to build a traffic accident database system that will help in developing safety devices that prevent traffic accidents [6]. Regarding the development of safety devices based on traffic accident analysis, [PERSON] et al. [7] applied a Korean traffic accident database to a European traffic accident database system, and then proposed a method to utilize the traffic accident database in developing safety devices through in-depth analysis. [PERSON] et al. [8] established a system for evaluating the AEBS and conducted the evaluation using real vehicles. By using the evaluation system in accordance with international standards, the situation that occurred on the road was organized into a systematic scenario to establish the performance and safety evaluation method of the AEBS. After comparing the results obtained by applying the AEBS to the PC-Crash program using the pedestrian traffic accident data and the actual experimental results using the pedestrian dummy, the collision avoidance or collision mitigation performance of AEBS, Vertal and Steffan verified the safety of AEBS [9]. The purpose of this study was to analyze the effect of the AEBS and radar angle on collision avoidance by using a PC-Crash simulation based on the traffic accident database of the National Police Agency [10; 11; 12; 13; 14]. This kind of simulation approach to evaluate sensor-based safety systems based on a national traffic accident database has been the current practice for many years [15]. Complementing the PC-Crash simulation results, the data used include the date, type, and location of the accident. Additional data used include a photo of the vehicle damage, the specifications of the vehicle, speed, braking, tire size, injury to the occupant and pedestrian, accident description (if any), and so forth.