A Road Traffic Crash Risk Assessment Method Using Vehicle Trajectory Data and Surrogate Safety Measures

This study analyzed rear-end collision risk in a mixed traffic flow of cars and heavy vehicles on a freeway using two surrogate safety measures: time to collision (TTC) and postencroachment time (PET). The study estimated surrogate safety measures for types of lead and following vehicles (car or heavy vehicle) by using the individual vehicle trajectory data. The vehicle trajectory data were collected from a segment of the US-101 freeway in Los Angeles, California. It was found that the distributions of TTC and PET were significantly different between types of lead and following vehicles. Also, the mean values of TTC and PET were higher for heavy vehicles following cars than for cars following cars and for cars following heavy vehicles. The study also validated TTC by using the simulated traffic data for a few minutes before the time of crashes that occurred on a section of the Gardiner Expressway in Toronto, Ontario, Canada. It was found that TTC reflects higher collision risk in the time intervals closer to the crash time and it reflects higher collision risk for the crash case than for the noncrash case. The findings suggest that the difference in rear-end collision risk between types of vehicle pairs should be considered in safety assessment of mixed traffic flow of cars and heavy vehicles.

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Surrogate Safety Measures from Traffic Simulation: Validation of Safety Indicators with Intersection Traffic Crash Data

Sustainability ◽

10.3390/su12176974 ◽

2020 ◽

Vol 12 (17) ◽

pp. 6974

Author(s):

Vittorio Astarita ◽

Ciro Caliendo ◽

Vincenzo Pasquale Giofrè ◽

Isidoro Russo

Keyword(s):

Crash Risk ◽

Safety Measures ◽

Traffic Crash ◽

Crash Data ◽

Time To Collision ◽

Vehicle Trajectories ◽

Simulation Validation ◽

Black Spots ◽

Single Vehicle ◽

Surrogate Safety Measures

The traditional analysis of road safety is based on statistical methods that are applied to crash databases to understand the significance of geometrical and traffic features on safety, or in order to localize black spots. These classic methodologies, which are based on real crash data and have a solid background, usually do not explicitly consider the trajectories of vehicles at any given location. Moreover, they are not easily applicable for making comparisons between different traffic network designs. Surrogate safety measures, instead, may enable researchers and practitioners to overcome these limitations. Unfortunately, the most commonly used surrogate safety measures also present certain limits: Many of them do not take into account the severity of a potential collision and the dangers posed by road-side objects and/or the possibility of drivers being involved in a single-vehicle crash. This paper proposes a new surrogate safety indicator founded on vehicle trajectories, capable also of considering road-side objects. The validity of the proposed indicator is assessed by means of comparison between the calculation of surrogate safety measures on micro-simulated trajectories and the real crash risk obtained with data on real crashes observed at several urban intersection scenarios. The proposed experimental framework is also applied (for comparison) to classical indicators such as TTC (time to collision) and PET (post-encroachment time).

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Prevalence and factors associated with road traffic crash among bus drivers in Hanoi, Vietnam

International Journal of Injury Control and Safety Promotion ◽

10.1080/17457300.2012.748810 ◽

2013 ◽

Vol 20 (4) ◽

pp. 368-373 ◽

Cited By ~ 1

Author(s):

Quang Ngoc La ◽

Andy H. Lee ◽

Lynn B. Meuleners ◽

Dat Van Duong

Keyword(s):

Road Traffic ◽

Road Traffic Crash ◽

Bus Drivers ◽

Traffic Crash ◽

Factors Associated

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169 Risk of road traffic crash, medical factors and behavioural adaptations in elderly drivers

Injury Prevention ◽

10.1136/injuryprev-2016-042156.169 ◽

2016 ◽

Vol 22 (Suppl 2) ◽

pp. A62.2-A62

Author(s):

Audrey Luxcey ◽

Emmanuel Lagarde ◽

Sylviane Lafont ◽

Marie Zins ◽

Benjamin Contrand ◽

...

Keyword(s):

Road Traffic ◽

Road Traffic Crash ◽

Traffic Crash ◽

Medical Factors ◽

Elderly Drivers ◽

Behavioural Adaptations

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Different Patterns of Mental Health Outcomes among Road Traffic Crash Survivors: A Prospective Cohort Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18041564 ◽

2021 ◽

Vol 18 (4) ◽

pp. 1564

Author(s):

Jelena Kovacevic ◽

Ivica Fotez ◽

Ivan Miskulin ◽

Davor Lesic ◽

Maja Miskulin ◽

...

Keyword(s):

Posttraumatic Stress Disorder ◽

Mental Disorders ◽

Posttraumatic Stress ◽

Stress Disorder ◽

Road Traffic ◽

Sociodemographic Factors ◽

Road Traffic Crash ◽

Traffic Crash ◽

Factors Associated ◽

Before And After

This study aimed to investigate factors associated with the symptoms of mental disorders following a road traffic crash (RTC). A prospective cohort of 200 people was followed for 6 months after experiencing an RTC. The cohort was comprised of uninjured survivors and injured victims with all levels of road traffic injury (RTI) severity. Multivariable logistic regression analyses were performed to evaluate the associations between the symptoms of depression, posttraumatic stress disorder and anxiety one and six months after the RTC, along with sociodemographic factors, health status before and after the RTC, factors related to the RTI and factors related to the RTC. The results showed associations of depression, anxiety, and posttraumatic stress disorder symptoms with sociodemographic factors, factors related to the health status before and after the RTC and factors related to the RTC. Factors related to the RTI showed associations only with depression and posttraumatic stress disorder symptoms. Identifying factors associated with mental disorders following an RTC is essential for establishing screening of vulnerable individuals at risk of poor mental health outcomes after an RTC. All RTC survivors, regardless of their RTI status, should be screened for factors associated with mental disorders in order to successfully prevent them.

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