DOI QR코드

DOI QR Code

Prediction on the Accident Reduction Effects of the Red Light Cameras Installation

무인신호위반단속장비 설치에 따른 사고감소효과 예측

  • 김태영 (포항공과대학교 산학협력연구소) ;
  • 백태헌 (충북대학교 환경.도시공학과) ;
  • 박병호 (충북대학교 도시공학과)
  • Received : 2012.01.25
  • Accepted : 2012.10.10
  • Published : 2012.12.17

Abstract

PURPOSES : This study deals with the effects on the installation of RLC(Red Light Camera). The objective is to analyze the effects of accident reduction after the installation of RLC. METHODS : In pursuing the above, the study uses the 703 accident data occurred at the 64 intersections which RLC are installed or not installed. RESULTS : The main results are as follows. First, Poisson RLC accident model developed in this study is analyzed to be statistically significant. Second, using the above developed model, 33 intersections among 40 intersections are predicted to have the decreasing effects of accidents after the installation of RLC. Finally, the reduction effects are analyzed to be affected by ADT and the number of left-turn lane. CONCLUSIONS : This study is expected to improve the efficiency of RLC and to help in decision-making of RLC installation.

Keywords

References

  1. Kim, Ki Hyuk and Jung, Youn Jae(2010)," A Study on the Factors Influencing the Number of Enforcement on Traffic Signal Violation - Focused on Daegu City -", The Journal of Korean Society of Civil Engineers, Vol. 30, no. 6, pp. 553-560.
  2. Kim, Myoung Suk(2006)", A Study on the Characteristics of Traffic Accident on Major Intersection before and after installing Red Light Camera", Seoul National Univsersity of Technology Thesis for Degree of Master.
  3. Kim, Sang Youp, Choi, Jai Sung, Kim, Myung Kyu and Sung Hyun Jin(2011)", Analysis of the Crash Reduction Effects of the Red Light Camera Systems and Determination of the User Benefits", The Journal of The Korea Institute of Intelligent Transport Systems, Vol. 10, No 1, pp. 1-15.
  4. Kangwon Shin and Simon Washington(2007), "The impact of red light cameras on safety in Arizona", Accident Analysis and Prevention 39, pp. 1212-1221. https://doi.org/10.1016/j.aap.2007.03.010
  5. Maccubbin, R. P., Staples, B. L., and Salwin, A. E(2003), "Automated Enforcement of Traffic Signals : A Literature Review". Federal Highway November/December, Vol 129, pp. 648-656.
  6. Na, Hee and Park, Byung Ho(2012)," Accident Models of Circular Intersection by Cause Using ZAM"International journal of highway engineering, Vol. 14, no.2, pp.101-108. https://doi.org/10.7855/IJHE.2012.14.5.101
  7. Retting, R. A., A. F. Williams, C. M. Farmer and A. F. Feldman(1999)", Evaluation of Red Light Camera Enforcement in Oxnard, California", Accident Analysis and Prevention, Vol. 31, pp. 169-174. https://doi.org/10.1016/S0001-4575(98)00059-1
  8. Road traffic authority(2004), "Analysis of accident type at intersection installed red light camera"
  9. Ruby, D. E., Hobeika, A. G.(2003), "Assessment of Red Light Running Cameras in Fairfax County", Virginia, TRB.