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.
Highlights
Many traffic accidents occur every day in Korea
We examined the changes that occur when the AEBS is applied while changing the radar detection angle to a traffic accident that has already occurred
(2) After confirming the validity of the PC-Crash program during pre-simulation, individual accidents were reinterpreted by applying AEBS using actual traffic accident data (ACCC)
Summary
Many traffic accidents occur every day in Korea. According to the TAAS (Traffic Accident Analysis System), the national traffic accident statistics system in South Korea, of the types of accidents in 2019, rear end or side crashes accounted for 20% of all accidents, and accidents at pedestrian crossings accounted for 39% of all fatalities [1]. ACEA (European Automobile Manufacturers Association) is conducting cooperative research with the International Automobile Federation 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]. 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]. 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 This data set was named ACCC (Automotive Collision Case Catalog)
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