Commenced in January 2007
Paper Count: 31105
Crash Severity Modeling in Urban Highways Using Backward Regression Method
Abstract:Identifying and classifying intersections according to severity is very important for implementation of safety related counter measures and effective models are needed to compare and assess the severity. Highway safety organizations have considered intersection safety among their priorities. In spite of significant advances in highways safety, the large numbers of crashes with high severities still occur in the highways. Investigation of influential factors on crashes enables engineers to carry out calculations in order to reduce crash severity. Previous studies lacked a model capable of simultaneous illustration of the influence of human factors, road, vehicle, weather conditions and traffic features including traffic volume and flow speed on the crash severity. Thus, this paper is aimed at developing the models to illustrate the simultaneous influence of these variables on the crash severity in urban highways. The models represented in this study have been developed using binary Logit Models. SPSS software has been used to calibrate the models. It must be mentioned that backward regression method in SPSS was used to identify the significant variables in the model. Consider to obtained results it can be concluded that the main factor in increasing of crash severity in urban highways are driver age, movement with reverse gear, technical defect of the vehicle, vehicle collision with motorcycle and bicycle, bridge, frontal impact collisions, frontal-lateral collisions and multi-vehicle crashes in urban highways which always increase the crash severity in urban highways.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1058747Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1577
 L. Chang and F. Mannering, "Analysis of Vehicle Occupancy and the Severity Of Rruck and Non-Truck-Involved Accidents," Department of Civil Engineering, 121 More Hall, Box 352700 University of Washington Seattle, Wa 98195, July 17, 1998.
 F. F. Saccomanno, S. A. Nassar, and J. H. Shortreed, "Reliability of Statistical Road Accident Injury Severity Models," Transportation Research Record, Issue 1542, pp. 14-23, 1996.
 W. Chen and P. P. Jovanis, "Method for Identifying Factors Contributing to Driver-Injury Severity in Traffic Crashes," Transportation Research Record, Issue 1717, pp.1-9, 2000.
 K. M. Koekelman and Y. Kweon, "Driver Injury Severityi an Application of Ordered Probit Models," Paper Submitted to Accident Analysis and Preventation, Jan. 2001.
 A. Voget and J. Bared, "Accident Models for Two Lane Rural Segments and Intersection," Transportation Research Record, Issue 1635, pp. 18- 29, 1999.
 K. Kim, L. Nitz and J. L. L. Richardson, "Analyzing The Relationship Between Crash Type and Injuries In Motor Vehicle Collisions In Hawaii," Transportation Research Record, Issue 1467, pp. 9-13, 1994.
 A. J. Khttak, P. Kantor and F. M. Council, "Role of Advers Weather In Key Crash Type On Limited: Access Roadways Implications For Advanced Weather Systems," Transportation Research Record, Issue 1621, pp. 15-19, 1999.
 H. T. Abdelwahab and M. A. Abdel-Aty, "Development of Artificial Neural Network Models to Predict Driver Injury Severity in Traffic Accidents at Signalizes Intersection," Transportation Research Record issue 1746, Paper No.01-2234, pp. 6-13, 2001.
 M. A. Abdel-Aty and H. T. Abdelwahab, "Predicting injury severity levels in traffic crashes: a modeling comparison," J. Transp. Eng. vol. 130, no. 2, pp. 204-210, 2004.
 D. Delen, R. Sharda and M. Bessonov, "Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks," Accident Analysis and Prevention, vol. 38, pp. 434- 444, 2006.
 N. Ivan, E. P. Garder and S. Z. Sylvia, "Finding Strategies To Improve Pedestrian Safety in Rural Areas," University of Connecticut and University of Maine, 2001.
 Y. J. Kweon and K. M. Kochelman, "The Safety Effects of Speed Limit Changes: Use of Panel Models, Including Speed, Use and Design Variables," The 84th Annual Meeting of Transportation Research Board, Washington D. C., 2005.
 Z. Sawallha and T. Sayed, "Statistical Issues in Traffic Accident Modeling," TRB 2003 Annual Meeting, 2003.