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Development of Accident Predictive Model for Rural Roadway
Abstract:This paper present the study carried out of accident analysis, black spot study and to develop accident predictive models based on the data collected at rural roadway, Federal Route 50 (F050) Malaysia. The road accident trends and black spot ranking were established on the F050. The development of the accident prediction model will concentrate in Parit Raja area from KM 19 to KM 23. Multiple non-linear regression method was used to relate the discrete accident data with the road and traffic flow explanatory variable. The dependent variable was modeled as the number of crashes namely accident point weighting, however accident point weighting have rarely been account in the road accident prediction Models. The result show that, the existing number of major access points, without traffic light, rise in speed, increasing number of Annual Average Daily Traffic (AADT), growing number of motorcycle and motorcar and reducing the time gap are the potential contributors of increment accident rates on multiple rural roadway.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1076648Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2730
 Hadi, M.A., Aruldhas, J., Chow, L.F., Wattleworth, J.A., Estimating Safety Effects of Cross-Section Design for Various Highway Types Using Negative Binomial Regression. Transportation Research Record, 1500, TRB, National Research Council,1993.
 Miaou, S.-P. and Lum, H.. "Modeling Vehicle Accidents and Highway Geometric Design Relationships." Accident Analysis and Prevention 25(6): 689-709(1993).
 Gwynn, D.W. ; Relationship between road accident and hourly volumes. Traffic Quartely, pp.407-418, (1967).
 Berhanu, G.; Model relating traffic safety with road environment and traffic flow on arterial roads in Addis Ababa. Adis Ababa University, pp 697-704(2004).
 Quimby, A., Maycock, G., Palmer, C., & Grayson, G.B. (1999 b). Drivers speed choice: an indepth study. Transport Research Laboratory TRL, Report 326, Crowthorne.
 Taylor, M.C., Lynam, D.A., and Baruya, A. (2000) The effects of drivers- speed on the frequency of road accidents, Transport Research Laboratory Report 421, Crowthorne, Bucks: Transport Research Laboratory
 W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123-135.
 Brilon, W., Koenig, R. and Troutbeck, R.J. :Useful estimation procedures for critical gaps. Transportation Res.- A 33 pp 161-186(1999).
 Miller A.J., "Nine estimators of gap acceptance parameters". Proceedings of the 5th International Symposium on the Theory of Traffic Flow, pp. 215-235 (1972).
 Hauer, E.: Identification of sites with promise, Transportation Research Record, 30, 54-60 (1996).
 S.Harnen, R.S.Radin Umar, S.V.Wong, W.I.Wan Hashim;Motorcycle Crash Prediction Model For Non-Signalized Intersections.IATSS Research Vol.27 No.2,(2003).pp.508-65.