Tool to manage Road Safety Deficiencies and risk of highway crashes

被引:0
|
作者
Lopez, Griselda [1 ]
Baena, Leticia [1 ]
Garach, Laura [1 ]
de Ona, Juan [1 ]
机构
[1] Univ Granada, ETSI Caminos Canales & Puertos, Dept Civil Engn, TRYSE Res Grp, C Severo Ochoa S-N, E-18071 Granada, Spain
关键词
DECISION TREES; RULES;
D O I
10.4995/CIT2016.2016.4068
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In order to facilitate the management of the results obtained in the project "Analysis of the relationship between Road Safety Deficiencies, crashes and hazardous sections" financed by Public Works Agency of the Regional Government of Andalusia (AOPJA) and led by the research group TRYSE from University of Granada, a safety management tool has been developed. This application allows safety managers to consult some factors affecting crashes on two-lane rural highways. The main aim of that project was to analyze the influence of some road deficiencies on crashes and hazardous sections in the Complementary Road Network of Andalusia. These deficiencies were defined in a checklist and were identified by a road inspection. Decision Trees (DTs), that are a data mining technique that allows the extraction of Decision Rules (DRs), were used. DRs revealed the relationship between road deficiencies and crashes. The application allows two different analyses. A specific analysis of the Complementary Road Network of Andalusia, in which, particular safety problems can be identified, and the location of roads with those problems can be obtained. A more general analysis in which some characteristics related to road safety can be selected in order to know the combination of factors contributing to traffic crashes. Safety problems are based on data from Complementary Road Network of Andalusia but results can be extrapolated to other rural highways in Spain.
引用
收藏
页码:1553 / 1561
页数:9
相关论文
共 50 条
  • [22] Risk of rollover in ran-off-road crashes
    Viner, John G.
    [J]. Transportation Research Record, 1995, (1500): : 112 - 118
  • [23] Sun glare and road safety: An empirical investigation of intersection crashes
    Mitra, Sudeshna
    [J]. SAFETY SCIENCE, 2014, 70 : 246 - 254
  • [24] Modeling Risk of Road Crashes Using Aggregated Data
    Mujalli, Randa Oqab
    [J]. JORDAN JOURNAL OF CIVIL ENGINEERING, 2018, 12 (01) : 45 - 60
  • [25] RESULTS OF AN IN-DEPTH ANALYSIS OF HIGHWAY ROAD CRASHES IN KOLAR DISTRICT, KARNATAKA, INDIA
    Gururaj, Gopalkrishna
    [J]. INJURY PREVENTION, 2016, 22 : A315 - A315
  • [26] Road safety prediction in the U.S. Highway Safety Manual
    Baamonde, Antonio
    Pérez, Ignacio
    [J]. Carreteras, 2012, 4 (185): : 73 - 78
  • [27] Highway concessions and road safety:Evidence from Brazil
    Alves, Pedro Jorge
    Emanuel, Lucas
    Pereira, Rafael H. M.
    [J]. RESEARCH IN TRANSPORTATION ECONOMICS, 2021, 90
  • [28] Exploring the effects of state highway safety laws and sociocultural characteristics on fatal crashes
    Dong, Chunjiao
    Nambisan, Shashi S.
    Clarke, David B.
    Sun, Jian
    [J]. TRAFFIC INJURY PREVENTION, 2017, 18 (03) : 299 - 305
  • [29] Case-control analysis in highway safety: Accounting for sites with multiple crashes
    Gross, Frank
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2013, 61 : 87 - 96
  • [30] Exploring the Characteristic Correlation and Risk Factors of Traffic Crashes in Highway Tunnels
    Ji, Xingyu
    Zhou, Bei
    Zhang, Shengrui
    Zhang, Hongrui
    [J]. CICTP 2021: ADVANCED TRANSPORTATION, ENHANCED CONNECTION, 2021, : 1411 - 1420