An Fuzzy-based Risk Reasoning Driving Strategy on VANET



Lee, Byung-Kwan;Jeong, Yi-Na;Jeong, Eun-Hee

  • 투고 : 2015.08.12
  • 심사 : 2015.09.25
  • 발행 : 2015.12.31


This paper proposes an Fuzzy-based Risk Reasoning Driving Strategy on VANET. Its first reasoning phase consists of a WC_risk reasoning that reasons the risk by using limited road factors such as current weather, density, accident, and construction, a DR_risk reasoning that reasons the risk by combining the driving resistance with the weight value suitable for the environment of highways and national roads, a DS_risk reasoning that judges the collision risk by using the travel direction, speed. and distance of vehicles and pedestrians, and a Total_risk reasoning that computes a final risk by using the three above-mentioned reasoning. Its second speed reduction proposal phase decides the reduction ratio according to the result of Total_risk and the reduction ratio by comparing the regulation speed of road to current vehicle's speed. Its third risk notification phase works in case current driving speed exceeds regulation speed or in case the Total_risk is higher than AV(Average Value). The Risk Notification Phase informs rear vehicles or pedestrians around of a risk according to drivers's response. If drivers use a brake according to the proposed speed reduction, the precedent vehicles transfers Risk Notification Messages to rear vehicles. If they don't use a brake, a current driving vehicle transfers a Risk Message to pedestrians. Therefore, this paper not only prevents collision accident beforehand by reasoning the risk happening to pedestrians and vehicles but also decreases the loss of various resources by reducing traffic jam.


Efficient Vehicular Traffic Management;Fuzzy Reasoning;VANET;Collision Prevention


  1. S.I. Kim, H.K. Kahng, and S.W. Cheung, "Robust Route Establishment and Management for Vehicular Ad hoc Networks," Journal of KIISE, vol.40, no.1, pp.44-51, 2013.
  2. Y.H. Lee. S.T. Kim, and G.B. Kim, "Design and Evaluation of an Early Intelligent Alert Broadcasting Algorithm for VANETs," Journal of Korean Society for Internet Information, vol.13, no.4, pp95-102, 2012.
  3. Wenjia Li and Anupam Joshi, Security Issues in Mobile Ad Hoc Networks - A Survey,
  4. M.S. Corson, J.P. Maker, J.H. Cernicione, "Internet-based Mobile Ad Hoc Networking," IEEE Internet Computing, July-August 1999, pp.63-70.
  5. wikipeida dictionary,
  7. Stephen Ezell, Intelligent Transportation Systems, ITIF, January 2010,
  8. L. A. Zadeh, "Fuzzy Sets," INFORMATION AND CONTROL 8, pp.338-353, 1965.
  9. Se Ryoung Kim and Huy Kang Kim, "Fuzzy Expert System for Detecting Anti-Forensic Activities," Journal of Korean Society for Internet Information, vol.12, no.5, pp.47-61, 2011.
  10. A Short Fuzzy Logic Tutorial,
  11. Mendel J, "Fuzzy logic systems for engineering: a tutorial," In proceedings of the IEEE, vol.83, no.3, pp.45-377, 1995.
  12. Thuc Kieu-Xuan and Insoo Koo, "A Cooperative Spectrum Sensing Scheme Using Fuzzy Logic for Cognitive Radio Networks", KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS vol.4, no.3, pp.289-303, 2010.
  13. Fuzzy control programming, Technical report, International Electrotechnical Commission, 1997.


연구 과제 주관 기관 : National Research Foundation of Korea (NRF)