A countermeasure-based approach for identifying and treating accident prone locations

Canadian Journal of Civil Engineering

Volumn 24, Issue 5, 1997, Pages 683-691

  Sayed, T ^a   Navin, F ^a   Abdelwahab, W ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b ISRA UNIVERSITY   (Jordan)

Author keywords

Accident countermeasures; Accident patterns; Accident prone locations; Black Spot programs; Empirical Bayes; Traffic safety

Indexed keywords

EID: 3242860307     PISSN: 03151468     EISSN: None     Source Type: Journal    
DOI: 10.1139/l97-015     Document Type: Article

References (18)

1. Abdelwahab, W. 1993. Chapter 1: How do we measure safty ? Highway Safety Branch Annual Workshop, Highway Safety Branch, B.C. Ministry of Transportation and Highways, Victoria, B.C.
2. Box, P.C. 1976. Accident pattern evaluation and countermeasures. Traffic Engineering, 46(8): 38-43.
3. Brude, U., and Larsson, J. 1988. The use of prediction models for eliminating effects due to regression-to-the-mean in road accident data. Accident Analysis and Prevention, 20(4): 299-310.
4. Calvin, T.M. 1990. Bayesian analysis. In Handbook of statistical methods for engineers and scientists. Edited by H. Wadsworth. McGraw-Hill Inc., New York, pp. 10-1 to 10-9.
5. Duran, S.B., and Booker, M.J. 1988. A Bayes sensitivity analysis when using the Beta distribution as a prior. IEEE Transactions on Reliability, 37(2): 239-247.
6. FHWA. 1981. Highway safety engineering studies procedural guide. Federal Highway Administration, U.S. Department of Transportation, Washington, D.C.
7. Hauer, E. 1986. On the estimation of the expected number of accidents. Accident Analysis and Prevention, 18(1): 1-12.
8. Hauer, E. 1992. Empirical Bayes approach to the estimation of unsafety: the multivariate regression method. Accident Analysis and Prevention, 24(5): 457-477.
9. Hauer, E., and Garder, P. 1986. Research into the validity of the traffic conflict technique. Accident Analysis and Prevention, 18(6): 471-481.
10. Hauer, E., Ng, C., and Lovell, J. 1988. Estimation of safety at signalized intersections. Transportation Research Record 1185, Transportation Research Board, National Research Council, Washington, D.C., pp. 48-61.
11. Heydecker, B.C., and Wu, J. 1991. Using the information in road accident records. 19th Summer Annual Meeting of PTRC (European Transport Highways and Planning), Sussex, United Kingdom, September 9-13.
12. Higle, J.L., and Witkowski, J.M. 1988. Bayesian identification of hazardous locations. Transportation Research Record 1185, Transportation Research Board, National Research Council, Washington, D.C., pp. 24-36.
13. Maritz, J.S., and Lwin, T. 1989. Empirical Bayes methods. 2nd ed. Chapman and Hall, London, United Kingdom, pp. 88-102.
14. Mountain, L., and Fawaz, B. 1989. The area-wide effects of engineering measures on road accident occurrence. Traffic Engineering and Control, 30: 355-360.
15. NAASRA. 1988. Guide to traffic engineering practice. Part 4: road crashes. National Association of Australian State Road Authorities, Melbourne, Australia.
16. Sayed, T., and Navin, F. 1995. The highway safety expert system: a new approach to safety programs. Proceedings of the 4th International Conference on the Applications of Advanced Technologies in Transportation Engineering, American Society of Civil Engineers, Capri, Italy, June 27-30, pp. 346-362.
17. Sayed, T., Abdelwahab, W., and Navin, F. 1995. Identifying accident prone locations using fuzzy pattern recognition. Journal of Transportation Engineering, 121(8): 352-358.
18. Wright, C.C., Abbes, C.R., and Jarret, D.F. 1988. Estimation the regression to the mean effect associated with road accident black spot treatment. Towards a more realistic approach. Accident Analysis and Prevention, 20(3): 199-214.