Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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A Study on the Verification of Traffic Flow and Traffic Accident Cognitive Function for Road Traffic Situation Cognitive System

  • Am-suk, Oh (Department of Digital Media Engineering, TongMyong University)
  • Received : 2022.09.15
  • Accepted : 2022.10.06
  • Published : 2022.12.31
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Abstract

Owing to the need to establish a cooperative-intelligent transport system (C-ITS) environment in the transportation sector locally and abroad, various research and development efforts such as high-tech road infrastructure, connection technology between road components, and traffic information systems are currently underway. However, the current central control center-oriented information collection and provision service structure and the insufficient road infrastructure limit the realization of the C-ITS, which requires a diversity of traffic information, real-time data, advanced traffic safety management, and transportation convenience services. In this study, a network construction method based on the existing received signal strength indicator (RSSI) selected as a comparison target, and the experimental target and the proposed intelligent edge network compared and analyzed. The result of the analysis showed that the data transmission rate in the intelligent edge network was 97.48%, the data transmission time was 215 ms, and the recovery time of network failure was 49,983 ms.

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Acknowledgement

This Research was supported by the Tongmyong University Research Grants 2019 (2019A016).

References

  1. N. J. Kim, S. J. Lee, S. C. Oh, and Y. T. Son, "A study on optimal traffic detection systems by introduction of section detection system," The Journal of The Korea Institute of Intelligent Transportation System, vol. 10, no. 3, pp. 47-63, Jun. 2011. DOI: 10.6109/jkiice.2021.25.12.1723.
  2. K. S. Bae and S. C. Lee, "A study on the improvement of standards of traffic information service and provide services based on the detailed traffic information," Journal of Information Technology Services, vol. 17, no. 4, pp. 85-100, Dec. 2018. DOI: 10.9716/KITS.2018.17.4.085.
  3. M. S. Kim, "A study on characteristics of driver's visual time-varying on the message display form," International Journal of High-way Engineering, vol. 15, no. 1, pp. 163-169, Feb. 2013. DOI: 10.7855/IJHE.2013.15.1.163.
  4. Y. K. Ki and Y. H. Kim, "A travel speed prediction model for incident detection based on traffic CCTV," Journal of Industrial Convergence, vol. 18, no. 3, pp. 53-61, Jun. 2020. DOI: 10.22678/JIC.2020.18.3.053.
  5. G. H. Ahn, Y. K. Ki, and E. J. Kim, "Real-time estimation of travel speed using urban traffic information system and filtering algorithm," IET Intelligent Transport Systems, vol. 8, no. 2, pp. 145-154, Mar. 2014. DOI: 10.1049/iet-its.2012.0051.
  6. J. Pan and J. McElhannon, "Future edge cloud and edge computing for internet of things applications," IEEE Internet of Things Journal, vol. 5, no. 1, pp. 439-449, Feb. 2018. DOI: 10.1109/JIOT.2017.2767608.
  7. N. Mohan and J. Kangasharju, "Edge-Fog cloud: A distributed cloud for Internet of Things computations," in Proceedings of 2016 Cloud identification of the Internet of Things (CIoT), Paris, France, pp. 1-6, 2016. DOI: 10.1109/CIOT.2016.7872914.
  8. 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, Feb. 2019.
  9. 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, Apr. 2017. DOI: 10.7472/jksii.2017.18.2.21.
  10. K. Mu, F. Hui, and X. Zhao, "Multiple vehicle detection and tracking in highway traffic surveillance video based on SIFT feature matching," Journal of Information Processing Systems, vol. 12, no. 2, pp. 183-195, Jun. 2016. DOI: 10.3745/JIPS.03.0037.