scholarly journals Investigating the relationship between crash severity, traffic barrier type, and vehicle type in crashes involving traffic barrier

2020 ◽  
Vol 7 (1) ◽  
pp. 125-136 ◽  
Author(s):  
Amirarsalan Mehrara Molan ◽  
Mahdi Rezapour ◽  
Khaled Ksaibati
Keyword(s):  
Crash Severity ◽  
Vehicle Type ◽  
Barrier Type ◽  
The Relationship

The Study on the Central Strip Width of the Arterial Highway of Xinjiang Production and Construction Corps

2014 ◽  
Vol 587-589 ◽  
pp. 2170-2175
Author(s):  
Kai Li ◽  
Jian Yun Chen ◽  
Xiao Ping Tian
Keyword(s):  
Linear Relationship ◽  
Strip Width ◽  
Mathematical Statistics ◽  
Small Width ◽  
Concrete Barriers ◽  
Different Types ◽  
Barrier Type ◽  
Central Strip ◽  
The Relationship

Typical points are selected on Ganmo Highway, the only bidirectional four-lane highway of Xinjiang Production and Construction Corps (hereinafter referred to as “Xinjiang Corps”), so as to measure the speeds of vehicles on the overtaking lane and corresponding inside clearances. The relationship between the inside clearances and speeds of different types of vehicles is studied by mathematical statistics so as to establish a model of the relationship between inside clearances and speeds. Based on the collision deformation of different barrier types and the demand for the actual functions of the central strip, how to select the width of the central strip and the barrier type of the arterial highway of Xinjiang Corps is analyzed. According to the results, there is a linear relationship between inside clearances and speeds of vehicles; monolithic concrete barriers require a small width of the central strip and they are cheap on the whole and suitable for the corps area.

Exploring the relationship between vehicle type choice and distance traveled: a latent segmentation approach

2017 ◽  
Vol 11 (3) ◽  
pp. 146-157 ◽  
Author(s):  
Jaime Angueira ◽  
Karthik Charan Konduri ◽  
Vincent Chakour ◽  
Naveen Eluru
Keyword(s):  
Vehicle Type ◽  
Segmentation Approach ◽  
The Relationship ◽  
Vehicle Type Choice

Impact of Congestion and Traffic Flow on Crash Frequency and Severity: Application of Smartphone-Collected GPS Travel Data

2017 ◽  
Vol 2659 (1) ◽  
pp. 43-54 ◽  
Author(s):  
Joshua Stipancic ◽  
Luis Miranda-Moreno ◽  
Nicolas Saunier
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Quebec City ◽  
Crash Severity ◽  
Crash Frequency ◽  
Crash Data ◽  
Instrumented Vehicles ◽  
Minor Injuries ◽  
The Impact ◽  
The Relationship

Mobility and safety are the two greatest priorities within any transportation system. Ideally, traffic flow enhancement and crash reductions could occur simultaneously, although their relationship is likely complex. The impact of traffic congestion and flow on road safety requires more empirical evidence to determine the direction and magnitude of the relationship. The study of this relationship is an ideal application for instrumented vehicles and surrogate safety measures (SSMs). The purpose of this paper is to correlate quantitative measures of congestion and flow derived from smartphone-collected GPS data with collision frequency and severity at the network scale. GPS travel data were collected in Quebec City, Quebec, Canada, and the sample for this study contained data for more than 4,000 drivers and 20,000 trips. The extracted SSMs, the congestion index (CI), average speed ( V), and the coefficient of variation of speed (CVS) were compared with crash data collected over an 11-year period from 2000 to 2010 with the use of Spearman’s correlation coefficient and pairwise Kolmogorov–Smirnov tests. The correlations with crash frequency were weak to moderate. CI was shown to be positively correlated with crash frequency, and the relationship to crash severity was found to be nonmonotonous. Higher congestion levels were related to crashes with major injuries, whereas low congestion levels were related to crashes with minor injuries and fatalities. Surprisingly, V was found to be negatively correlated with crash frequency and had no conclusive statistical relationship to crash severity. CVS was positively correlated with crash frequency and statistically related to increased crash severity. Future work will focus on the development of a network screening model that incorporates these SSMs.

scholarly journals Bicycle Rider Behavior and Crash Involvement in Australia

2021 ◽  
Vol 18 (5) ◽  
pp. 2378
Author(s):  
Steve O’Hern ◽  
Nora Estgfaeller ◽  
Amanda N. Stephens ◽  
Sergio A. Useche
Keyword(s):  
Risk Perception ◽  
Online Survey ◽  
Crash Severity ◽  
Crash Frequency ◽  
Traffic Crashes ◽  
Rule Knowledge ◽  
Low Levels ◽  
Bicycle Rider ◽  
Crash Likelihood ◽  
The Relationship

This research investigated how behaviours and attitudes of bicycle riders influence crash frequency and severity. The study recruited 1102 Australian bicycle riders for an online survey. The survey comprised questions on demographics, frequency of riding and the number and severity of traffic crashes during the last five years. The survey included the Cycling Behaviour Questionnaire and the Cyclist Risk Perception and Regulation Scale. Overall, there were low levels of errors and violations reported by participants indicating that these behaviours were on average never or rarely exhibited while riding a bicycle. Conversely, participants reported high levels of engagement in positive behaviours and reported high levels of traffic rule knowledge and risk perception. Higher rates of violations and errors were associated with increased crash likelihood, while higher rates of positive behaviours were associated with reduced rates of crash involvement in a period of 5 years. The findings highlight the relationship between errors, total crashes and crash severity Further promotion of positive behaviours amongst riders may also help to reduce the risk of crashes.

scholarly journals Study of the Economic Cost of Road Accidents in Jordan

2018 ◽  
Vol 46 (3) ◽  
pp. 129-134 ◽  
Author(s):  
Maen Ghadi ◽  
Árpád Török ◽  
Katalin Tánczos
Keyword(s):  
Traffic Accidents ◽  
Economic Cost ◽  
Road Accident ◽  
Crash Severity ◽  
Syrian Refugees ◽  
Road Accidents ◽  
Statistical Life ◽  
Vehicle Type ◽  
Unit Costs ◽  
Domestic Products

Traffic accidents in Jordan represent a serious problem, where every day about 2 persons die by road accidents, and the country loses between 2-3 percent of its gross domestic products (GDP) due to this problem. This research aims to estimate the total and unit costs (per crash severity and vehicle type) of road accidents in Jordan during three years (2011 through 2013) using human capital approach, and also to estimate the value of statistical life in Jordan for risk reduction of person’s death by road accident using willingness-to-pay approach. The results revealed that Jordan is still suffering from a continuous rise in its road accidents’ costs without a sufficient improvement accompanied with the dramatic increases in its number of vehicles and population (during the study period), especially after the crisis of Syrian refugees who enter the Jordan during this period. The estimated total costs of accident in the years 2011, 2012 and 2013 were about US $ (3814, 4718 and 5146, respectively, which constituted 2.5%, 2.3% and 2.25% of the total country’s GDP for the same years.

Toronto Area Car Ownership Study: A Retrospective Interview and Its Applications

2000 ◽  
Vol 1719 (1) ◽  
pp. 69-76 ◽  
Author(s):  
Matthew J. Roorda ◽  
Abolfazl Mohammadian ◽  
Eric J. Miller
Keyword(s):  
Dynamic Models ◽  
Car Ownership ◽  
Vehicle Type ◽  
Modeling Systems ◽  
Transportation Modeling ◽  
Survey Results ◽  
Vehicle Transactions ◽  
The Relationship ◽  
Data Requirements ◽  
Univariate Analyses

Recent work in the area of comprehensive transportation modeling systems in a microsimulation framework, more specifically auto ownership modeling, has recognized the need for increased experimentation with dynamic models. Implicitly, dynamic models require longitudinal data. A Toronto area car ownership study was conducted to design and administer a longitudinal survey to fulfill the data requirements for such a dynamic model, to validate the survey results, and to conduct preliminary analysis on those results. An in-depth retrospective telephone survey was conducted with the help of a computer aid in Toronto, Canada. Simple univariate analyses were conducted on the data to determine the relationship between characteristics of the household and the occurrence of vehicle transactions, the choice of vehicle type, the duration a vehicle is held, and the degree of consumer loyalty to different types of vehicles.

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