Traffic indicators, accidents and rain: some relationships calibrated on a French urban motorway network

被引:11
作者
Aron, Maurice [1 ]
Billot, Romain [2 ]
El Faouzi, Nour-Eddin [2 ]
Seidowsky, Regine [1 ]
机构
[1] Univ Paris Est, IFSTTAR, COSYS GRETTIA, F-77447 Marne La Vallee, France
[2] Univ Lyon, F-69000 Lyon, France
来源
18TH EURO WORKING GROUP ON TRANSPORTATION, EWGT 2015 | 2015年 / 10卷
关键词
Traffic data; accident; rain; surrogate data; traffic indicators; urban motorway; risk; safety performance function; logistic regression; ROAD ACCIDENT; WEATHER; MODEL; CRASHES; SPEED; RISK;
D O I
10.1016/j.trpro.2015.09.053
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The purpose of this paper is to study the link between the occurrence of injury road accidents, the prevailing traffic conditions, and the occurrence of rain. This is useful for assessing, before its implementation, the safety impact of a new traffic management. Traffic conditions were extracted from a one year traffic database which covers 150 kilometres of two or three lanes urban motorways near the city of Marseille, in the south of France. 208 loop detectors provide the individual speeds, headways, arrival times and lengths of vehicles. Based on this information, thirteen aggregated traffic variables were constituted every six minutes, such as the average speed, occupancy, short time headways and a few combinations of speed, relative speed and time gaps. 292 injuries or fatal accidents occurred on the network during the same year. The French accident database provides their characteristics - location, time and type of accidents, meteorological conditions and other parameters addressing the infrastructure, the driver and the vehicle. The rain occurrence is provided, every six minutes, from a meteorological station. A set of safety performance functions were estimated, each one giving the risk of injury accident by vehicle-kilometre according to the level of one traffic variable and according to the occurrence of rain. Generally based on logistic regression models, analyses were carried out separately by lane and for two types of accidents - single vehicle accidents and crashes between vehicles. Some relations linking accidents with traffic variables are significant: the occurrence of single vehicle accidents is related to the speed on the fast lane; the occurrence of multiple vehicle accidents is related to occupancy. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:31 / 40
页数:10
相关论文
共 15 条
[1]   Predicting freeway crashes from loop detector data by matched case-control logistic regression [J].
Abdel-Aty, M ;
Uddin, N ;
Pande, A ;
Abdalla, MF ;
Hsia, L .
STATISTICAL METHODS AND SAFETY DATA ANALYSIS AND EVALUATION, 2004, (1897) :88-95
[2]   Calibrating a real-time traffic crash-prediction model using archived weather and ITS traffic data [J].
Abdel-Aty, Mohamed A. ;
Pemmanaboina, Rajashekar .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2006, 7 (02) :167-174
[3]   Assessment of Interaction of Crash Occurrence, Mountainous Freeway Geometry, Real-Time Weather, and Traffic Data [J].
Ahmed, Mohamed M. ;
Abdel-Aty, Mohamed ;
Yu, Rongjie .
TRANSPORTATION RESEARCH RECORD, 2012, (2280) :51-59
[4]  
Aron M., 2013, TRANSP RES BOARD 92
[5]   Explaining the road accident risk: Weather effects [J].
Bergel-Hayat, Ruth ;
Debbarh, Mohammed ;
Antoniou, Constantinos ;
Yannis, George .
ACCIDENT ANALYSIS AND PREVENTION, 2013, 60 :456-465
[6]   RISK OF A ROAD ACCIDENT IN RAINY WEATHER [J].
BRODSKY, H ;
HAKKERT, AS .
ACCIDENT ANALYSIS AND PREVENTION, 1988, 20 (03) :161-176
[7]  
Elvik R, 2014, TOI report 1296/ 2014
[8]   A re-parameterisation of the Power Model of the relationship between the speed of traffic and the number of accidents and accident victims [J].
Elvik, Rune .
ACCIDENT ANALYSIS AND PREVENTION, 2013, 50 :854-860
[9]   Freeway safety as a function of traffic flow [J].
Golob, TF ;
Recker, WW ;
Alvarez, VM .
ACCIDENT ANALYSIS AND PREVENTION, 2004, 36 (06) :933-946
[10]   Speed and Safety [J].
Hauer, Ezra .
TRANSPORTATION RESEARCH RECORD, 2009, (2103) :10-17