Temporal and Spatial Analysis of Road Accidents with Fuzzy Kernel Density

Document Type : Scientific - Research

Authors

Abstract

Understanding the underlying structure of vehicle crashes is essential for improving safety on the roads. Past research has found that accident tend to cluster both spatially and temporally. This paper applied spatial, temporal and spatio-temporal techniques to investigate patterns of Road Accident in Karaj-Qazvin highway-Iran between 2009 and 2012, at different characters. Spider graphs were adapted to identify temporal patterns of vehicle crashes at different situation. The spatial structures of vehicle crashes were analyzed using Fuzzy Kernel Density and then result was compared with Kernel Density Estimation. Comap was then used to demonstrate the spatio-temporal interaction effect on vehicle crashes and spatial pattern of accident at different characters. Characters that influence at spatial and temporal pattern of accident are: Time, Week day, Type of accident (Fatal, Injury and Non-Injury), Type of Collision (Vehicle with Vehicle, Vehicle with Pedestrian, Vehicle with Objects and Overturn), weather situation (Clean, Rain and Snow), Human Behavior (Hurry, Fatigue and Sleepy and Low Inattention). The results show significant differences in spatiotemporal patterns of Road Accident for various crash causes. The techniques used here have the potential to help decision makers in developing effective road safety strategies.

Keywords


-Anderson, T. (2006) "Comparison of spatial methods for measuring road accident hotspots: a case study of London", Journal of Maps, Vol. 3, No. 1, pp. 55-63
-Anderson, T. K. (2009) "Kernel density estimation and k-means clustering to profile road accident hotspots Kessa K.", Accident Analysis and Prevention, Vol. 41, No.3, pp. 359–364
-Arefi, M., Viertl, R. and Taheri, S. M. (2012) "Fuzzy density estimation", Metrika, Vol. 75, No. 1, pp. 5-22
-Asgary, A., Ghaffari, A. and Levy, J. (2010) "Spatial and temporal analysis of structural fire incidents and their causes: a case of Toronto, Canada", Fire Safety Journal, Vol. 45, No. 1, pp. 44-57.
-Blazquez, C. A. and Celis, M. S. (2013) "A spatial and temporal analysis of child pedestrian crashes in Santiago, Chile", Accident Analysis and Prevention, Vol. 50, pp. 304-311
-Brunsdon, C., Corcoran, J. and Higgs, G. (2007) "Visualizing space and time in crime patterns: a comparison of methods", Computers, Environment and Urban Systems, Vol. 31, No. 1, pp. 52-75
-Brunsdon, C. (2001) "The Comap: Exploring spatial pattern via conditional distributions", Computers, Environment and Urban Systems, Vol. 25, No. 1, pp. 53-68
-Getis, A. and Ord, J. K. (1992) "The analysis of spatial association by use of distance statistics", Geographical Analysis, Vol. 24, No. 3, pp. 189–206
-Gu, X. and Zhu, Q. (2006) "Fuzzy multi-attribute decision-making method based on Eigenvector of fuzzy attribute evaluation space", Decision Support System, Vol. 41, No. 2, pp. 400-410
-Gundogdu, I. B. (2010) "Applying linear analysis methods to GIS-supported procedures for preventing traffic accidents: case study of Konya", Safety Science, Vol. 48, No. 6, pp. 763–769
-Kilamanu, W., Xia, J. and Caulfield, C. (2011) "Analysis of spatial and temporal distribution of single and multiple vehicle crash in Western Australia: a comparison study", International Congress on Modelling and Simulation, Perth, Australia, 12–16 December
-Kingham, S., Sabel, C. E. and Bartie, P. (2011) "The impact of the ‘school run’ on road traffic accidents: a Spatio-Temporal analysis", Journal of Transport Geography, Vol. 19, No. 4, pp. 705-711
-Kuo, P. F., Lord, D. and Walden, T. D. (2011) "Using geographical information systems to effectively organize police patrol routes by grouping hot spots of crash and crime data", Zachry Department of Civil Engineering, Texas A&M University
-Moran, P. (1948) "The interpretation of statistical maps", Journal of the Royal Statistical Society. Series B )Methodological), Vol. 10, No. 2, pp. 243–251
-Mccullagh, M. J. (2006) "Detecting hotspots in time and space", ISG06, University of Nottingham
-Plug, C., Xia, J. C. and Caulfield, C. (2011) "Spatial and temporal visualization techniques for crash analysis ", Accident Analysis and Prevention, Vol. 43, No. 6, pp. 1937– 1946
-Prasannakumar, V., Vijith, H., Charutha, R. and Geetha, N. (2011) "Spatio-temporal clustering of road accidents: GIS based analysis and assessment", Procedia Social and Behavioral Sciences, Vol. 21, pp. 317–325
-Silverman, B.W. (1986) "Density estimation for statistics and data analysis", Vol. 26, CRC press.
-World Health Organization (2013) "Global status report on road safety", Source: http://www.who.int/violence_injury_prevention/road_safety_status/2013/ en/, (2013/12/28)
-Xia, J. C. (2011) "Data mining of driver characteristics to spatial and temporal hotspots of single vehicle crashes in western Australia", International Congress on Modelling and Simulation
-Xie, Z. and Yan, J. (2008) "Kernel density estimation of traffic accidents in a network space computers", Environment and Urban Systems, Vol. 32, No. 5, pp. 396–406