Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Design of Highway Accident Detection and Alarm System Based on Internet of Things Guard Rail

IoT 가드레일 기반의 고속도로 사고감지 및 경보 시스템 설계

  • Oh, Am-Suk (Department of Digital Media Engineering, Tongmyong University)
  • Received : 2019.10.02
  • Accepted : 2019.10.22
  • Published : 2019.12.31
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Abstract

Currently, as part of the ICT Smart City, the company is building C-ITS(Cooperative-Intelligent Transport Systems) for solving urban traffic problems. In order to realize autonomous driving service with C-ITS, the role of advanced road infrastructure is important. In addition to the study of mid- to long-term C-ITS and autonomous driving services, it is necessary to present more realistic solutions for road traffic safety in the short term. Therefore, in this paper, we propose a highway accident detection alarm system that can detect and analyze traffic flow and risk information, which are essential information of C-ITS, based on IoT guard rail and provide immediate alarm and remote control. Intelligent IoT guard rail is expected to be used as an intelligent advanced road infrastructure that provides data at actual road sites that are required by C-ITS and self-driving services in the long term.

현재 전 세계적으로 ICT 스마트시티의 일환으로 도시교통 문제해결을 위한 차세대 지능형 교통시스템인 C-ITS(Cooperative-Intelligent Transport Systems) 구축을 추진하고 있다. C-ITS와 함께 자율주행 서비스를 실현하기 위해서는 첨단 도로 인프라의 역할이 중요하다. 그리고 중장기적인 C-ITS, 자율주행서비스의 연구와 함께 단기적으로 도로 교통안전을 위한 보다 현실적인 솔루션 제시가 필요하다. 따라서 본 논문에서는 IoT 가드 레일을 기반으로 C-ITS의 필수 요구정보인 교통흐름과 사고위험 정보를 감지·분석하여, 도로 현장에 즉각적인 경보와 원격 모니터링을 제공할 수 있는 고속도로 사고감지 및 경보 시스템을 제안한다. 지능형 IoT 가드 레일은 장기적으로 C-ITS와 자율주행 서비스에서 요구하는 실제 도로 현장에서의 데이터를 제공하는 지능적 첨단 도로 인프라로서 활용될 것으로 기대된다.

Keywords

Acknowledgement

This work was supported by the BB21+ Project in 2018.

References

  1. C. Chao, T. Katura, M. Kisimoto, T. Ueda, T. Matukawa, and H. Okada, "Network Connectivity of Layered Self-organizing Wireless Networks," Proceedings of Sixth International Conference on Computer Communications and Networks, pp. 270-274, 1997.
  2. H. H. Yang, "Lode Location Management Using RSSI Regression Analysis in Wireless Sensor Network," Journal of the Korea Institute of Information and Communication Engineering, vol. 13, no. 4, pp.1935-1940, 2009.
  3. H. M. Park, and T. H. Hwang, "Changes and Trends in Edge Computing Technology," Journal of The Korean Institute of Communication Sciences, vol. 36, no. 2, pp. 41-47, 2019.
  4. J. S. Song, B. J. Lee, K. T. Kim, and H. Y. Youn, " Expert System-based Context Awareness for Edge Computing in IoT Environment," Journal of Internet Computing and Services, vol. 18, no. 2, pp. 21-30, 2017. https://doi.org/10.7472/jksii.2017.18.2.21
  5. F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, "Fog Computing and its Role in the Internet of Things," Proceedings of the first edition of the MCC workshop on Mobile cloud computing, pp.13-16, 2012.
  6. Y. Xu and A. Helal, "Scalable Cloud-Sensor Architecture for the Internet of Things," IEEE Internet of Things Journal, vol. 3, no. 3, pp. 285-298, 2016. https://doi.org/10.1109/JIOT.2015.2455555
  7. C. Perera, A. Zaslavsky, P. Christen, and D.Georgakopoulos, "Context Aware Computing for The Internet of Things: A Survey," IEEE Comm. Surveys & Tutorials, vol. 16, no.1, pp. 414-454, 2014. https://doi.org/10.1109/SURV.2013.042313.00197
  8. J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, "Internet of Things (IoT): A vision, architectural elements, and future directions," Future Generation Computer Systems, vol. 29, no. 7, pp. 1645-1660, 2013. https://doi.org/10.1016/j.future.2013.01.010