Improve Safety Performance of Un-Signalized Intersections in Oman

Authors: Siham G. Farag

Abstract:

The main objective of this paper is to provide a new methodology for road safety assessment in Oman through the development of suitable accident prediction models. GLM technique with Poisson or NBR using SAS package was carried out to develop these models. The paper utilized the accidents data of 31 un-signalized T-intersections during three years. Five goodness-of-fit measures were used to assess the overall quality of the developed models. Two types of models were developed separately; the flow-based models including only traffic exposure functions, and the full models containing both exposure functions and other significant geometry and traffic variables. The results show that, traffic exposure functions produced much better fit to the accident data. The most effective geometric variables were major-road mean speed, minor-road 85th percentile speed, major-road lane width, distance to the nearest junction, and right-turn curb radius. The developed models can be used for intersection treatment or upgrading and specify the appropriate design parameters of T-intersections. Finally, the models presented in this thesis reflect the intersection conditions in Oman and could represent the typical conditions in several countries in the middle east area, especially gulf countries.

Keywords: Accidents Prediction Models (APMs), Generalized Linear Model (GLM), T-intersections, Oman.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1100695

References:

[1] Peden, M., Toryan, T., Harvey, A., Bartolomeos, Ki., Laych, K., et al. (2009). "Global Status Report on Road Safety, Time For Action". World Health Organization. Geneva.
[2] Margaret Chan. (2013). "Global Status Report on Road Safety, Time For Action". World Health Organization. Geneva.
[3] Montella, A. (2010)." Analysis of Crash Contributory Factors at Urban Roundabouts." 89th Annual Meeting of Transportation Research Board, Washington, D.C.
[4] Scully, J., and Fildes, B. (2006). "An Evaluation of Intersection Characteristics Associated With Crashes at Intersections in Melbourne CBD." Monish University Accident Research Center, Victoria.
[5] Harnen, S., Radin Umar, R.S., Wong, S.V., and Wan Hashim, W. I. (2003) “Motorcycle Crash Prediction Model for Non-Signalized Intersections." International Association of traffic and Safety Science (IATSS) Research, 27(2), 58-65.
[6] Tay, R. (2008). "Review of the CRISP Publicity Campaigns." Final Report Submitted to Capital Region Intersection Safety Partnership, (Online).www.drivetolive.ca/Downloads/Review_Campaigns_2008.pdf, Retrieved on/6/2008.
[7] Farag, S. Gaber. (2011). "Accident prediction models for road intersection in sultanate of Oman". Msc Thesis, Minoufiya University, Egypt.
[8] Sawalha, Z.A. and Sayed, T. (2006). "Traffic Accident Modeling: Some Statistical Issues." Canadian Journal of Civil Engineering, 33(9), 1115- 1124.
[9] Hauer, E., Ng, J.C.N., and Lovell, J., and Morris, C.N. (1988). "Estimation of Safety at Signalized Intersections". Transportation Research Record, Transportation Research Board, National Research Council, Washington, D.C., 1185, 46-61.
[10] Jovanis, P.P, and Chang, H.L. (1986). "Modeling the Relationship of Accidents to Miles Traveled." Transportation Research Record, Transportation Research Board, National Research Council, Washington, D.C., 1068, 42-51.
[11] Miaou, S., and Lum, H. (1993). "Modeling Vehicle Accident and Highway Geometric Design Relationships." Accident Analysis and Prevention, 25(6), 689-709.
[12] Salifu, M. (2004). "Accident Prediction Models for Unsignalised Urban Junctions in Ghana." International Association of traffic and Safety Science (IATSS) Research, 28(1), 68-81.
[13] Kirolos Haleem and Mohamed Abdel-Aty(2010). “Examining traffic crash injury severity at unsignalized intersections”. Journal of safety research (Impact Factor: 1.34). 08/2010; 41(4):347-57. DOI:10.1016/j.jsr.2010.04.006.
[14] K. Nachimuthu and P. Partheeban (2013).” Development of A Road Accident Prediction Model Based on System Dynamics Approach, Indian Journal of Applied Research, Volume: 3 | Issue: 9 | Sept 2013 | ISSN - 2249-555X.
[15] Mohamed Abdel-Aty and Kirolos Haleem (2010). “Analyzing angle crashes at unsignalized intersections using machine learning techniques” Accident; analysis and prevention (Impact Factor: 1.65). 01/2011; 43(1):461-70. DOI:10.1016/j.aap.2010.10.002
[16] Dhofar Municipality. (2006). "Salalah Road Network Traffic Movement Study." Office of the Minister of State and Governor of Dhofar.
[17] Kulmala, R. And Roine, M. (1988). "Accident Prediction Models for Two-Lane Roads in Finland." Proceedings of the Conference on Traffic Safety Theory and Research Methods, Session 4: Statistical Analysis and Models. Amsterdam: SWOV, 89-103.
[18] Kulmala, R. (1995). "Safety at Rural Three and Four-Arm Junctions: Development of Accident Prediction Models." Technical Research Centre of Finland, VTT Publications 233.
[19] Abdel-Aty, M., and Radwan, A. E. (2000). "Modeling Traffic Accident Occurrence and Involvement." Accident Analysis and Prevention, 32(5), 633-642.
[20] SAS. (2003). “SAS Online 9.1.” SAS Institute INC. Cary, NC, USA.
[21] Agresti, A. (1996). "An Introduction to Categorical Data Analysis." John Willy, New York.
[22] Fridstorm, L., Ifver, J., Ingebrigesten, S., Kulmala, R., and Thomeson, L. K. (1995). “Measuring the Contribution of Randomness, Exposure, Weather, and Day Light to the Variation in Road Accidents Counts." Accidents Analysis and Prevention, 27(1), 1-20.
[23] Ben-Akiva, M., and Lerman, S. R (1985). Discrete Chice Analysis: Theory and Application to Travel Demond, the MIT Press, Massachusetts.