Earticle

Artificial intelligence (AI) has been applied to most industries by enhancing automation and contributing greatly to efficient processes and high-quality production. This research analyzes the applications of AI-based automobile accident prevention systems. It deals with AI-based collision prevention systems that learn information from various sensors attached to cars and AI-based accident detection systems that automatically report accidents to the control center in the event of a collision. Based on the literature review, technological and institutional changes are taking place at the national levels, which recognize the effectiveness of the systems. In addition, start-ups at home and abroad as well as major car manufacturers are in the process of commercializing auto parts equipped with AI-based collision prevention technology.

Traffic accidents have been regarded as serious social problems due to the rapidly increasing automobile industry. In particular, Korea is the 30th lowest OECD member. Rapid relief is essential to reduce the mortality rate of traffic accidents. In Korea and abroad, we are already researching and developing an e-call (Emergency Call) service system that automatically recognizes and reports incidents based on ICT (Information and Communications Technology) technology for quick relief measures. However, in order to actually use the existing e-call system, it is necessary to prepare and manage the collected traffic accident information. In the previous research, the weak point of the centralized e-call system was compensated by using the block chain which is the distributed led technology. In this study, we propose a data deletion method in a e-Call system based on block chain using existing researches and expect to improve security of information management at the same time as practical use of e-Call system.