Investigation of powered 2-wheeler accident involvement in urban arterials by considering real-time traffic and weather data

References

• Abdel-Aty M, Haleem K. Analyzing angle crashes at unsignalized intersections using machine learning techniques. Accid Anal Prev. 2011;43:461–470.
   PubMed Web of Science ®Google Scholar
• Abdel-Aty M, Hassan HM, Ahmed M, Al-Ghamdi AS. Real-time prediction of visibility related crashes. Transp Res Part C Emerg Technol. 2012;24:288–298.
   Web of Science ®Google Scholar
• Abdel-Aty M, Pande A. Identifying crash propensity using specific traffic speed conditions. J Safety Res. 2005;36:97–108.
   PubMed Web of Science ®Google Scholar
• Abdel-Aty M, Pande A, Lee C, Gayah V, Dos Santos C. Crash risk assessment using intelligent transportation systems data and real-time intervention strategies to improve safety on freeways. J Intell Transp Syst. 2007;11(3):107–120.
   Web of Science ®Google Scholar
• Abdul Manan MM, Varhelyi A. Motorcycle fatalities in Malaysia. IATSS Res. 2012;36:30–39.
   Google Scholar
• Ahmed M, Abdel-Aty M. The viability of using automatic vehicle identification data for real-time crash prediction. IEEE Trans Intell Transp Syst. 2012;13:459–468.
   Web of Science ®Google Scholar
• Ahmed M, Abdel-Aty M, Yu R. Assessment of the interaction between crash occurrence, mountainous freeway geometry, real-time weather and AVI traffic data. Paper presented at: 91st Transportation Research Board Annual Meeting, January 22–26, 2012a; Washington, DC.
   Google Scholar
• Ahmed M, Abdel-Aty M, Yu R. A Bayesian updating approach for real-time safety evaluation using AVI data. Transp Res Rec. 2012b;2280:60–67.
   Web of Science ®Google Scholar
• Akaike H. A new look at the statistical model identification. IEEE Trans Automat Contr. 1974;19:716–723.
   Web of Science ®Google Scholar
• Barmpounakis EN, Vlahogianni EI, Golias JC. Investigating powered two-wheelers overtaking behavior in urban arterials. Paper presented at: 93rd Transportation Research Board Annual Meeting, January 12–16, 2014; Washington, DC.
   Google Scholar
• Barmpounakis EN, Vlahogianni EI, Golias JC. Vision-based multivariate statistical modeling for powered two-wheelers maneuverability during overtaking in urban arterials. Transp Lett. 2016;8(3):167–176.
   Google Scholar
• Branas CC, Knudson MM. Helmet laws and motorcycle rider death rates. Accid Anal Prev. 2001;33:641–648.
   PubMed Web of Science ®Google Scholar
• Breiman L. Random forests. Mach Learn. 2001;45:5–32.
   Web of Science ®Google Scholar
• Christoforou Z, Cohen S, Karlaftis M. Vehicle occupant injury severity on highways: an empirical investigation. Accid Anal Prev. 2010;42:1606–1620.
   PubMed Web of Science ®Google Scholar
• Daniello A, Gabler HC. Fatality risk in motorcycle collisions with roadside objects in the United States. Accid Anal Prev. 2011;43:1167–1170.
   PubMed Web of Science ®Google Scholar
• Dey PP, Chandra S, Gangopadhyay S. Simulation of mixed traffic flow on two-lane roads. J Transp Eng. 2008;134:361–369.
   Web of Science ®Google Scholar
• European Road Safety Observatory. Traffic Safety Basic Facts: Motorcycles and Mopeds. Brussels: European Commission, Directorate General for Transport; 2015.
   Google Scholar
• Golob TF, Recker WW, Pavlis Y. Probabilistic models of freeway safety performance using traffic flow data as predictors. Saf Sci. 2008;46:1306–1333.
   Web of Science ®Google Scholar
• Haque MM, Chin HC, Huang H. Modelling fault among motorcyclists involved in crashes. Accid Anal Prev. 2009;41:327–335.
   PubMed Web of Science ®Google Scholar
• Haque MM, Chin HC, Huang H. Applying Bayesian hierarchical models to examine motorcycle crashes at signalized intersections. Accid Anal Prev. 2010;42:203–212.
   PubMed Web of Science ®Google Scholar
• Harnen S, Wong SV, Radin Umar RS, Wan Hashim WI. Motorcycle crash prediction model for non-signalized intersections. IATSS Res. 2003;27(2):58–65.
   Google Scholar
• Hassan HM, Abdel-Aty MA. Predicting reduced visibility related crashes on freeways using real-time traffic flow data. J Safety Res. 2013;45:29–36.
   PubMed Web of Science ®Google Scholar
• Houston DJ, Richardson LE. Motorcyclist fatality rates and mandatory helmet-use laws. Accid Anal Prev. 2008;40:200–208.
   PubMed Web of Science ®Google Scholar
• Hydrological Observatory of Athens. 2012. Available at: http://hoa.ntua.gr/. Accessed June 13, 2013.
   Google Scholar
• Jung S, Qin X, Noyce DA. Rainfall effect on single-vehicle crash severities using polychotomous response models. Accid Anal Prev. 2010;42:213–224.
   PubMed Web of Science ®Google Scholar
• Kasantikul V, Ouellet JV, Smith T, Sirathranont J, Panichabhongse V. The role of alcohol in Thailand motorcycle crashes. Accid Anal Prev. 2005;37:357–366.
   PubMed Web of Science ®Google Scholar
• Lin MR, Kraus JF. A review of factors and patterns of motorcycle injuries. Accid Anal Prev. 2009;41:710–722.
   PubMed Web of Science ®Google Scholar
• Lunn DJ, Jackson C, Best N, Thomas A, Spiegelhalter D. The BUGS Book: A Practical Introduction to Bayesian Analysis. 1st ed. Boca Raton, FL: Chapman and Hall/CRC; 2012.
   Google Scholar
• Nikias V, Vlahogianni E, Lee T-C, Golias J. Determinants of powered two-wheelers virtual lane width in urban arterials. Paper presented at: International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2012); 2012; Anchorage, AK.
   Google Scholar
• Quddus MA, Wang C, Ison SG. Road traffic congestion and crash severity: econometric analysis using ordered response models. J Transp Eng. 2010;136:424–435.
   Web of Science ®Google Scholar
• Strobl C, Malley J, Tutz G. An introduction to recursive partitioning: rational, application, and characteristics of classification and regression trees, bagging, and random forests. Psychol Methods. 2009;14:323–348.
   PubMed Web of Science ®Google Scholar
• Strobl C, Zeileis A. Danger: high power!—exploring the statistical properties of a test for random forest variable importance. Paper presented at: International Conference on Computational Statistics; 2008; Porto, Portugal. >
   Google Scholar
• Viano D. Effectiveness of Safety Belts and Airbags in Preventing Fatal Injury. Warrendale, PA: SAE; 1991. SAE Technical Paper 910901.
   Google Scholar
• Vlahogianni EI. Kinematic characteristics and interactions of powered-two-wheelers filtering and overtaking in urban arterials. Transp Res Part F Traffic Psychol Behav. 2014;24:133–145.
   Web of Science ®Google Scholar
• Vlahogianni EI, Golias JC. Bayesian modeling of the microscopic traffic characteristics of overtaking in two-lane highways. Transp Res Part F Traffic Psychol Behav. 2012;15:348–357.
   Web of Science ®Google Scholar
• Wanvik PO. Effects of road lighting: an analysis based on Dutch accident statistics 1987–2006. Accid Anal Prev. 2009;41:123–128.
   PubMed Web of Science ®Google Scholar
• Xu C, Tarko AP, Wang W, Liu P. Predicting crash likelihood and severity on freeways with real-time loop detector data. Accid Anal Prev. 2013;57:30–39.
   PubMed Web of Science ®Google Scholar
• Xu C, Wang W, Liu P. Identifying crash-prone traffic conditions under different weather on freeways. J Safety Res. 2013;46:135–144.
   PubMed Web of Science ®Google Scholar
• Xuequn Y, Ke L, Ivers R, Du W, Senserrick T. Prevalence rates of helmet use among motorcycle riders in a developed region in China. Accid Anal Prev. 2011;43:214–219.
   PubMed Web of Science ®Google Scholar
• Yu R, Abdel-Aty M. Investigating the different characteristics of weekday and weekend crashes. J Safety Res. 2013a;46:91–97.
   PubMed Web of Science ®Google Scholar
• Yu R, Abdel-Aty M. Utilizing support vector machine in real-time crash risk evaluation. Accid Anal Prev. 2013b;51:252–259.
   PubMed Web of Science ®Google Scholar
• Yu R, Abdel-Aty M. Analyzing crash injury severity for a mountainous freeway incorporating real-time traffic and weather data. Saf Sci. 2014a;63:50–56.
   Web of Science ®Google Scholar
• Yu R, Abdel-Aty M. Using hierarchical Bayesian binary probit models to analyze crash injury severity on high speed facilities with real-time traffic data. Accid Anal Prev. 2014b;62:161–167.
   PubMed Web of Science ®Google Scholar
• Yu R, Abdel-Aty M, Ahmed M. Bayesian random effect models incorporating real-time weather and traffic data to investigate mountainous freeway hazardous factors. Accid Anal Prev. 2013;50:371–376.
   PubMed Web of Science ®Google Scholar
• Zheng Z, Ahn S, Monsere CM. Impact of traffic oscillations on freeway crash occurrences. Accid Anal Prev. 2010;42:626–636.
   PubMed Web of Science ®Google Scholar