Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4911649 | Case Studies on Transport Policy | 2017 | 17 Pages |
Abstract
As traffic demand continues to increase and in the face of limited possibilities to expand the road infrastructure, various attempts are being made to make road traffic safer. In order to decrease the number of traffic accidents, it is required knowledge of its causes, so that actions are taken to avoid them. This is possible through collection and management of the available information on traffic accidents. Thus, policies are needed to identify and manage all available information relating to traffic accidents. This study aims to identify rules induced by Decision Tree algorithms (DT) for detecting traffic accidents with victims in a road stretch from accidents records, as well as probable causes of the occurrence and type of accident. Data are from a road stretch of the Régis Bittencourt (highway BR-116) between km 509 to km 519 in the period 2012-2014, located in São Paulo, Brazil. Through the main results obtained, it can be concluded that the CART algorithm of the Decision Tree is a useful tool in identifying potential sites of accidents with victims. In this case, the two most important variables to identify the severity of accidents were the accident type and the accident cause.
Related Topics
Physical Sciences and Engineering
Engineering
Civil and Structural Engineering
Authors
Aurenice da Cruz Figueira, Cira Souza Pitombo, Paulo Tadeu Meira e Silva de Oliveira, Ana Paula Camargo Larocca,