Traffic accident reconstruction and an approach for prediction of fault rates using artificial neural networks: A case study in Turkey

Traffic Injury Prevention

Volumn 17, Issue 6, 2016, Pages 585-589

  Can Yilmaz, Ali ^a   Aci, Cigdem ^b   Aydin, Kadir ^a  

^a CUKUROVA UNIVERSITY   (Turkey)

^b MERSIN UNIVERSITY   (Turkey)

Author keywords

fault rate; neural network; prediction; traffic accident reconstruction

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; HUMAN; SOFTWARE; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; TRAFFIC ACCIDENT; TURKEY;

ACCIDENTS, TRAFFIC; COMPUTER SIMULATION; HUMANS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); SOFTWARE; TURKEY;

EID: 84976571315     PISSN: 15389588     EISSN: 1538957X     Source Type: Journal    
DOI: 10.1080/15389588.2015.1122760     Document Type: Article

References (16)

1. E.Cangul. Development of an Expert System for the Quantification of Fault Rates in Traffic Accidents. [MSc thesis]. Middle East Technical University; 2010.
2. General Directorate of Highways. Traffic accident outlines. 2014. Available at: http://www.kgm.gov.tr/SiteCollectionDocuments/KGMdocuments/Trafik/TrafikKazalariOzeti2014.pdf. Accessed June, 2015.
3. S.Goyal, G.K.Goyal. Artificial neuron based models for estimating shelf life of burfi. ARPN J Sci Technol. 2012;2:536–540.
4. S.A.Hannan, R.R.Manza, R.J.Ramteke. Generalized regression neural network and radial basis function for heart disease diagnosis. Int J Comput Appl. 2010;7:7–13.
5. S.Haykin. Neural Networks: A Comprehensive Foundation. New York, NY: MacMillan; 1994.
6. S.Islam, S.L.Jones, D.Dye. Comprehensive analysis of single- and multi-vehicle large truck at-fault crashes on rural and urban roadways in Alabama. Accid Anal Prev. 2014;67:147–158.
7. M.Khashei, A.Z.Hamadani, B.Bijari. A novel hybrid classification model of artificial neural networks and multiple linear regression models. Expert Syst. 2012;39:2606–2620.
8. F.Marini, A.L.Magri, R.Bucci. Multilayer feed-forward artificial neural networks for class modeling. Chemometr Intell Lab Syst. 2007;88:118–124.
9. MathWorks. MatLab. 2014. Available at: http://www.mathworks.com/products/matlab/. Accessed May 4, 2015.
10. J.J.More. The Levenberg-Marquardt algorithm: implementation and theory. Paper presented at: Biennial Conference; 1978; Dundee, Scotland.
11. Y.Peng, W.Deng, P.Xu, S.Yao. Study on the collision performance of a composite energy-absorbing structure for subway vehicles. Thin-Walled Structures. 2015;94:663–672.
12. D.Svozil, V.Kvasnicka, J.Pospichal. Introduction to multi-layer feed-forward neural networks. Chemometr Intell Lab Syst. 1997;39:43–62.
13. THTA. No. 2918 Turkish Highway Traffic Act. Official Gazette of the Republic of Turkey. 1983;22:687.
14. Turkish Insurance Information and Monitoring Center. Property damage only motor vehicle accident annual report statistics, Republic of Turkey Prime Ministry Undersecretariat of Treasury. 2015. Available at: http://www.sbm.org.tr/en. Accessed June 2015.
15. Turkish Statistical Agency. Road traffic accident statistics, Republic of Turkey Ministry of Internal Affairs. 2015. Available at: http://www.tuik.gov.tr/PreTablo.do?alt_id=1051. Accessed June 2015.
16. Virtual Crash (vCrash). Traffic Accident Reconstruction Tool. 2014. Available at: http://www.vcrash3.com/ Accessed June 2015.