Analysis of motor-vehicle crashes at stop signs in four U.S. cities

Retting, Richard A.; Weinstein, Helen B.; Solomon, M G

doi:10.1016/j.jsr.2003.05.001

Cited by 94 publications

(50 citation statements)

References 5 publications

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“…To this point, it can be explained by the crash type involving stop sign running. In light of the finding from [49], stop sign violation typically leads to angular collision. As noted earlier, angular collisions were more likely to produce severe injuries than other crash types at intersections.…”

Section: Discussionmentioning

confidence: 99%

Exploring Driver Injury Severity at Intersection: An Ordered Probit Analysis

Zhang

Cheng

2014

Advances in Mechanical Engineering

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It is well known that intersections are the most hazardous locations; however, only little is known about driver injury severity in intersection crashes. Hence, the main goal of this study was to further examine the different factors contributing to driver injury severity involved in fatal crashes at intersections. Data used for the present analysis was from the US DOT-Fatality Analysis Reporting System (FARS) crash database from the year 2011. An ordered probit model was employed to fit the fatal crash data and analyze the factors impacting each injury severity level. The analysis results displayed that driver injury severity is significantly affected by many factors. They include driver age and gender, driver ethnicity, vehicle type and age (years of use), crash type, driving drunk, speeding, violating stop sign, cognitively distracted driving, and seat belt usage. These findings from the current study are beneficial to form a solid basis for adopting corresponding measures to effectively drop injury severity suffering from intersection crash. More insights into the effects of risk factors on driver injury severity could be acquired using more advanced statistical models.

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Section: Discussionmentioning

confidence: 99%

Exploring Driver Injury Severity at Intersection: An Ordered Probit Analysis

Zhang

Cheng

2014

Advances in Mechanical Engineering

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“…At approaches to intersection controlled by stop sign, there are several factors that may raise the risks of crashes: failure to wait for sufficient gaps, failure to detect potential conflicts, and paying less cautions before entering [13]. A simulation study [18] reported that stop sign running in rural area might be more common, because there were less traffic and better visibility.…”

Section: Discussionmentioning

confidence: 99%

“…Unlike traffic signal, stop sign which is used to notify drivers to stop their vehicles completely before entering the intersection is the primary traffic control device in USA [13]. There is few literature about stop sign violation at intersections.…”

Section: Introductionmentioning

confidence: 99%

“…Chovan et al [15] conducted a detailed analysis of 100 right-angle collisions and concluded that 42% crashes occurred due to failure to stop at two-way stop sign controlled intersections. Retting et al [13] draw a conclusion that drivers younger than 18 and drivers aged 65+ were more likely to run through stop signs than other age groups. Romano et al [16] found that race/ethnicity appeared to be an important reason for fatal stop sign running crashes.…”

Section: Introductionmentioning

confidence: 99%

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The Influence of Contributory Factors on Driving Violations at Intersections: An Exploratory Analysis

Pei

et al. 2013

Advances in Mechanical Engineering

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Driving violation has been identified as one of the prominent contributing factors involved in crashes occurring at intersections. However, very little literature has studied the influence of contributory factors on driving violation. The goal of the present study was to analyze the effect of contributory factors on traffic sign and signals (TSS) violation, turning-yielding-signaling (TYS) violation, and speeding related (SR) violation at intersections, and the likelihood of each type of driving violation was predicted by using a multinomial logistic model. The findings of this study indicated that younger drivers (ages 15-24) had a propensity to commit SR violations, but older drivers (ages 65+) had the adverse situations. The likelihood of SR violations for males was higher than TYS violations, while contrary outcome was obtained during daylight. At traffic sign or signals controlled intersections, the odds of TSS violations and TYS violations were greater than SR violations, and similar outcomes were gained in four-way intersections or T-intersections. Drivers distracted cognitively were more likely to be in commission of TYS violations than SR violations, whereas it is opposite to passenger or in-vehicle related distractions. Inattention/distraction significantly affected the likelihood of each type of driving violation. Implications of the findings from current study are discussed.

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“…Poch and Mannering (1996) developed a negative binomial model to identify rear-end crash risks at signalized and unsignalized intersections, and they found negative binomial regression models are suitable to model isolated intersection traffic and geometric factors. Retting et al (2003) investigated vehicle crashes at stop sign-controlled intersections. Lau and May (1989) used data classification and regression tree techniques analysis to predict crashes at unsignalized intersections.…”

Section: Literature Reviewmentioning

confidence: 99%

Formulating alcohol-influenced driver’s injury severities in intersection-related crashes

Zhang

2016

Transport

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Abstract. Approximately one third of all traffic fatal crashes are alcohol-related in the US according to the National Highway Traffic Safety Administration (NHTSA), alcohol-related crashes cost more than $37 billion annually. Considerable research efforts are needed to understand better significant causal factors for alcohol-related crash risks and driver's injury severities in order to develop effective countermeasures and proper policies for system-wide traffic safety performance improvements. Furthermore, since two thirds of urban Vehicle Miles Traveled (VMT) is on signalcontrolled roadways, it is of practical importance to investigate injury severities of all drivers who are involved in intersection-related crashes and their corresponding significant causal factors due to control and geometric impacts on flow progression interruptions. This study aims to identify and quantify the impacts of alcohol/non-alcohol-influenced driver's behavior and demographic features as well as geometric and environmental characteristics on driver's injury severities around intersections in New Mexico. The econometric models, multinomial Logit models, were developed to analyze injury severities for regular sober drivers and alcohol-influenced drivers, respectively, using the crash data collected in New Mexico from 2010 to 2011. Elasticity analyzes were conducted in order to understand better the quantitative impacts of these contributing factors on driver's injury outcomes. The research findings provide a better understanding of contributing factors and their impacts on driver injury severities in crashes around intersections. For example, the probability of having severe injuries is higher for non-alcohol-influenced drivers when the drivers are 65 years old or older. Drivers' left-turning action will increase non-alcohol-influenced driver injury severities in crash occurring around intersections. However, different characteristics are captured for alcohol-influenced drivers involved in intersection-related crashes. For example, more severe injuries of alcohol-influenced drivers can be observed around intersections with three or more lanes on each approach. The model specifications and estimation results are also helpful for transportation agencies and decision makers to develop cost-effective solutions to reduce alcohol-involved crash severities and improve traffic system safety performance.

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Analysis of motor-vehicle crashes at stop signs in four U.S. cities

Cited by 94 publications

References 5 publications

Exploring Driver Injury Severity at Intersection: An Ordered Probit Analysis

Exploring Driver Injury Severity at Intersection: An Ordered Probit Analysis

The Influence of Contributory Factors on Driving Violations at Intersections: An Exploratory Analysis

Formulating alcohol-influenced driver’s injury severities in intersection-related crashes

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