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原文传递 PREDICTIVE MODELLING OF ROAD ACCIDENTS IN INDIA: A REVIEW

题名：	PREDICTIVE MODELLING OF ROAD ACCIDENTS IN INDIA: A REVIEW
其他题名：	1.Adeli,H.,Karim,A.Fuzzy-wavelet RBFNN model for freeway incident detection.Journal of Transportation Engineering.2000;126(6);464-471.
正文语种：	英文
作者：	Gyanendra Singh
关键词：	Accident Prediction Models;Road Safety;Literature Review;Random Parameter Models
摘要：	The problem of road safety has acquired very serious dimensions in our country causing deaths of 1,42,000 people every year and costing more than 3％ of the GDP besides the grief and pains of the family. The lack of systematic data, poor quality of record and underreporting of road accidents as well as lack of available tools to quantify safety effects pose serious challenges to the researchers and planners working on highway safety. This paper is an attempt to review the progress of research work on identification of causal factors and predictive modeling of road accident in India. Approximately 70 studies and review papers were examined to identify research trends, data issues, methodological challenges and advancements in predictive modeling of road accident in India as well as advantages and shortcomings of the methods adopted to model the accidents and gaps in the research work. Although researchers are adopting new techniques and many explanatory variables are being tried into models but still the results are not conclusive. No study has so far tried to model accidents by injury severity in India. The effect of weather (fog, rain etc) on accidents has not yet been quantified. Relative contribution of explanatory variables and effectiveness of various modelling techniques is yet to be tested for various data sets and in comparison with other modelling techniques. A quality accident database is required to be created using GIS based applications to enhance safety research.
出版年：	2017
论文唯一标识：	I-75Y2017V45N06008
英文栏目名称：	TECHNICAL PAPERS
期刊名称：	Indian Highways
拼音刊名(出版物代码)：	I-75
卷：	45
期：	06
页码：	29-38