Using Decision Trees to extract Decision Rules from Police Reports on Road Accidents

被引：24

作者：

Griselda, Lopez ^{[1
]}

Juan, de Ona ^{[1
]}

Joaquin, Abellan ^{[2
]}

机构：

[1] Univ Granada, Dept Civil Engn, ETSI Caminos, TRYSE Res Grp, E-18071 Granada, Spain

[2] Univ Granada, ETSI Infomat, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain

来源：

SIIV-5TH INTERNATIONAL CONGRESS - SUSTAINABILITY OF ROAD INFRASTRUCTURES 2012 | 2012年 / 53卷

关键词：

DRIVER INJURY SEVERITY; LOGISTIC-REGRESSION; MODELS;

D O I：

10.1016/j.sbspro.2012.09.864

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

The World Health Organization (WHO) considers that traffic accidents are major public health problem worldwide, for this reason safety managers try to identify the main factors affecting the severity as consequence of road accidents. In order to identify these factors, in this paper, Data Mining (DM) techniques such as Decision Trees (DTs), have been used. A dataset of traffic accidents on rural roads in the province of Granada (Spain) have been analyzed. DTs allow certain decision rules to be extracted. These rules could be used in future road safety campaigns and would enable managers to implement certain priority actions. (C) 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of SIIV2012 Scientific Committee

引用

页码：106 / 114

页数：9

共 50 条

[1] Extracting decision rules from police accident reports through decision trees
de Ona, Juan
Lopez, Griselda
Abellan, Joaquin
ACCIDENT ANALYSIS AND PREVENTION, 2013, 50 : 1151 - 1160
[2] Using Imprecise Probabilities to Extract Decision Rules via Decision Trees for Analysis of Traffic Accidents
Lopez, Griselda
Garach, Laura
Abellan, Joaquin
Castellano, Javier G.
Mantas, Carlos J.
ROUGH SETS AND CURRENT TRENDS IN SOFT COMPUTING, RSCTC 2014, 2014, 8536 : 288 - 298
[3] Extract the emergency decision rules using decision trees categorization based on ontology
Wang Jianzhen
Xie Hongwei
Yu Xueli
Li Juanli
ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 2647 - 2650
[4] Decision Rules Derived from Optimal Decision Trees with Hypotheses
Azad, Mohammad
Chikalov, Igor
Hussain, Shahid
Moshkov, Mikhail
Zielosko, Beata
ENTROPY, 2021, 23 (12)
[5] Data mining with decision trees and decision rules
Apte, C
Weiss, S
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 1997, 13 (2-3): : 197 - 210
[6] Analysis of the Rate Accidents in Construction Using Decision Trees
Wojciech, Drozd
INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017), 2018, 1978
[7] Generation of Fuzzy Rules from Decision Trees
Hall, Lawrence O.
Lande, Petter
Journal of Advanced Computational Intelligence and Intelligent Informatics, 1998, 2 (04): : 128 - 133
[8] CREATING DECISION TREES FROM RULES USING RBDT-1
Abdelhalim, Amany
Traore, Issa
Nakkabi, Youssef
COMPUTATIONAL INTELLIGENCE, 2016, 32 (02) : 216 - 239
[9] Analysis of traffic accident severity using Decision Rules via Decision Trees
Abellan, Joaquin
Lopez, Griselda
de Ona, Juan
EXPERT SYSTEMS WITH APPLICATIONS, 2013, 40 (15) : 6047 - 6054
[10] Using Local Rules in Random Forests of Decision Trees
Thanh-Nghi Do
FUTURE DATA AND SECURITY ENGINEERING, FDSE 2015, 2015, 9446 : 32 - 45

← 1 2 3 4 5 →