Prediction of accident severity using artificial neural networks

International Journal of Civil Engineering

Volumn 9, Issue 1, 2011, Pages 41-49

  Moghaddam, F Rezaie ^a   Afandizadeh, S ^b   Ziyadi, M ^a  

^a UNIVERSITY OF MOHAGHEGH ARDABILI   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Artificial neural networks; Crash severity; Highway; Human factors; Traffic volume

Indexed keywords

HIGHWAY ACCIDENTS; HUMAN ENGINEERING; VEHICLES;

ACCIDENT SEVERITY; CONDITION; CRASH SEVERITY; HIGHWAY; HIGHWAY SAFETY; INFLUENTIAL FACTORS; ROAD VEHICLES; TRAFFIC FEATURES; TRAFFIC VOLUMES; URBAN HIGHWAYS;

NEURAL NETWORKS;

EID: 79952785033     PISSN: 17350522     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Chang, L., Mannering F., Analysis of Vehicle Occupancy and The Severity of Truck- and Non-Truck-Involved Accidents, Department of Civil Engineering, 121 More Hall, Box 352700 University of Washington Seattle, Wa 98195, July 17, 1998.
2. Afandizadeh, Sh., Kianfar, J., A Hybrid Neuro-Genetic Approach to Short-Term Traffic Volume Prediction, International Journal of Civil Engineering. Vol. 7, No. 1, March 2009.
3. Ian flood, 2007. Towards the next generation of artificial neural networks for civil engineering, Advanced engineering informatics 22(2008) 4-14.
4. Chen W., Jovanis P. P., Method For Identifying Factors Contributing To Driver-Injury Severity In Traffic Crashes, Transportation Research Record, Issue 1717, 2000, PP.1-9
5. Koekelman K. M., Kweon Y., Driver Injury Severity an Application of Ordered Probit Models, Paper Submitted to Accident Analysis and Prevention, January 2001.
6. Saccomanno F. F., Nassar S. A., Shortreed J. H., Reliability of Statistical Road Accident Injury Severity Models, Transportation Research Record, Issue 1542, 1996, PP. 14-23.
7. Voget A. Bared J., Accident Models for Two Lane Rural Segments and Intersection, Transportation Research Record, Issue 1635, 1999, PP. 18-29.
8. Abdelwahab, H.T., Abdel-Aty, M.A., 2001. 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.
9. Abdel-Aty, M.A., Abdelwahab, H.T., 2004. Predicting injury severity levels in traffic crashes: a modeling comparison J. Transp. Eng. 130 (2), 204-210.
10. Dursun Delen, Ramesh Sharda, Max Bessonov. Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks. Accident Analysis and Prevention 38 (2006) 434-444.
11. Mussone, L., Ferrari, A., Oneta, M., 1999.An Analysis of Urban Collisions using an Artificial Intelligence Model. Accident Anal. Prev. 31 (6), 705-718.
12. Schalkoff, r.j., 1997. Artificial Neural Networks. Mcgrawhill, New York, PP.146-188.