Article
DEVELOPMENT OF A CRASH RISK PROBABILITY MODEL FOR FREEWAYS BASED ON HAZARD PREDICTION INDEX
DOI: 10.7708/ijtte.2014.4(4).09
4 / 4 / 466-471 Pages
Author(s)
Md. Mahmud Hasan - School of Civil, Environmental and Chemical Engineering, RMIT University, Melbourne, Australia -
Abstract
This study presents a method for the identification of hazardous situations on the freeways. The hazard identification is done using a crash risk probability model. For this study, about 18 km long section of Eastern Freeway in Melbourne (Australia) is selected as a test bed. Two categories of data i.e. traffic and accident record data are used for the analysis and modelling. In developing the crash risk probability model, Hazard Prediction Index is formulated in this study by the differences of traffic parameters with threshold values. Seven different prediction indices are examined and the best one is selected as crash risk probability model based on prediction error minimisation.
Number of downloads: 1848
References:
Eisenberg, D. 2004. The mixed effects of precipitation on traffic crashes, Accident Analysis & Prevention. DOI: http://dx.doi.org/10.1016/S0001-4575(03)00085-X, 36(4): 637-647.
Golob, T.F.; Recker, W.W.; Alvarez, V.M. 2004. Freeway safety as a function of traffic flow, Accident Analysis & Prevention. DOI: http://dx.doi.org/10.1016/j.aap.2003.09.006, 36(6): 933-946.
Goodwin, L.C. 2002. Weather Impacts on Arterial Traffic Flow, Prepared for the FHWA Road Weather Management Program.
Griebe, P. 2003. Accident prediction models for urban roads, Accident Analysis & Prevention. DOI: http://dx.doi.org/10.1016/S0001-4575(02)00005-2, 35(2): 273-285.
Hasan, M.M. 2012. Development of a crash risk probability model and its application to mitigate hazardous conditions on freeways, RMIT University, 2012. Available from Internet:
Hong, D.; Kim, J.; Kim, W.; Lee, Y.; Yang, H.C. 2005. Development of traffic accident prediction models by traffic and road characteristics in urban areas. In Proceedings of the Eastern Asia Society for Transportation Studies, 2046-2061.
Kalokota, K.R.; Seneviratne, P.N. 1994. Accident prediction models for two-lane rural highways [online]. Available from Internet:
Pham, M.H.; Bhaskar, A.; Chung, E.; Dumont, A.G. 2010. Random forest models for identifying motorway Rear-End Crash Risks using disaggregate data [online]. In Proceedings of 13th International IEEE Conference on Intelligent Transportation Systems (ITSC), 19-22.
Shankar, V.; Fred, M.; Woodrow, B. 1995. Effect of roadway geometrics and environmental factors on rural freeway accident frequencies, Accident Analysis & Prevention. DOI: http://dx.doi.org/10.1016/0001-4575(94)00078-Z, 27(3): 371-389.
Quoted IJTTE Works
There is no quoted studies.
Related Keywords