Road Accident Prediction Model for the Roads of National Significance of Lithuania

This summary of the author's PhD thesis defended on 20 December 2012 at the Vilnius Gediminas Technical University. The thesis is written in Lithuanian and is available from the author upon request. Chapter 1 describes the analysis of road infrastructure safety management procedures and their implementation. Chapter 2 gives the overview of accident prediction models and the principles of their development. Chapter 3 presents the designed accident prediction algorithm for the roads of national significance of Lithuania, the developed mathematical accident prediction models for homogenous groups of roads and junctions, the implemented network safety ranking and the determined road sections with a potentially high accident concentration. Chapter 4 describes the testing and analysis of software intended for the implementation of accident prediction algorithm.

[1]  Mohamed Abdel-Aty,et al.  Development of Artificial Neural Network Models to Predict Driver Injury Severity in Traffic Accidents at Signalized Intersections , 2001 .

[2]  Yuanchang Xie,et al.  Predicting motor vehicle collisions using Bayesian neural network models: an empirical analysis. , 2007, Accident; analysis and prevention.

[3]  Hojjat Adeli,et al.  FUZZY-WAVELET RBFNN MODEL FOR FREEWAY INCIDENT DETECTION , 2000 .

[4]  Wen Cheng,et al.  Experimental evaluation of hotspot identification methods. , 2005, Accident; analysis and prevention.

[5]  Bhagwant Persaud,et al.  Comparison of empirical Bayes and full Bayes approaches for before-after road safety evaluations. , 2010, Accident; analysis and prevention.

[6]  Ezra Hauer,et al.  On exposure and accident rate , 1995 .

[7]  Ramesh Sharda,et al.  Identifying significant predictors of injury severity in traffic accidents using a series of artificial neural networks. , 2006, Accident; analysis and prevention.

[8]  Craig Lyon,et al.  Empirical Bayes Procedure for Ranking Sites for Safety Investigation by Potential for Safety Improvement , 1999 .

[9]  R Elvik,et al.  How much do road accidents cost the national economy? , 2000, Accident; analysis and prevention.

[10]  Kaan Ozbay,et al.  Estimation of incident clearance times using Bayesian Networks approach. , 2006, Accident; analysis and prevention.

[11]  Maurizio Guida,et al.  A crash-prediction model for multilane roads. , 2007, Accident; analysis and prevention.

[12]  Ezra Hauer,et al.  Estimating Safety by the Empirical Bayes Method: A Tutorial , 2002 .

[13]  Bhagwant Persaud,et al.  Empirical Bayes before-after safety studies: lessons learned from two decades of experience and future directions. , 2007, Accident; analysis and prevention.

[14]  Michael J. Cassidy,et al.  Application of Fuzzy Logic and Neural Networks to Automatically Detect Freeway Traffic Incidents , 1994 .

[15]  Yu-Chiun Chiou,et al.  An artificial neural network-based expert system for the appraisal of two-car crash accidents. , 2006, Accident; analysis and prevention.