A systematic mapping review of surrogate safety assessment using traffic conflict techniques
Safety assessment of road sections and networks have historically relied on police-reported
crash data. These data have several noteworthy and significant shortcomings, including …
crash data. These data have several noteworthy and significant shortcomings, including …
Data-driven approaches for road safety: A comprehensive systematic literature review
Road crashes cost over a million lives each year. Consequently, researchers and transport
engineers continue their efforts to improve road safety and minimize road crashes. With the …
engineers continue their efforts to improve road safety and minimize road crashes. With the …
Investigation on the injury severity of drivers in rear-end collisions between cars using a random parameters bivariate ordered probit model
The existing studies on drivers' injury severity include numerous statistical models that
assess potential factors affecting the level of injury. These models should address specific …
assess potential factors affecting the level of injury. These models should address specific …
Utilizing UAV video data for in-depth analysis of drivers' crash risk at interchange merging areas
The interchange merging area suffers a high crash risk in the freeway system, which is
greatly related to the intense mandatory merging maneuvers. Ignoring such correlation may …
greatly related to the intense mandatory merging maneuvers. Ignoring such correlation may …
Bayesian dynamic extreme value modeling for conflict-based real-time safety analysis
C Fu, T Sayed - Analytic methods in accident research, 2022 - Elsevier
Real-time safety analysis and optimization using surrogate safety measures such as traffic
conflicts and techniques such extreme value theory (EVT) models is an emerging research …
conflicts and techniques such extreme value theory (EVT) models is an emerging research …
Real-time crash prediction models: State-of-the-art, design pathways and ubiquitous requirements
Proactive traffic safety management systems can monitor traffic conditions in real-time,
identify the formation of unsafe traffic dynamics, and implement suitable interventions to …
identify the formation of unsafe traffic dynamics, and implement suitable interventions to …
Modeling accident risks in different lane-changing behavioral patterns
Lane-changing is a complicated task and has a high probability of accident occurrence.
Although a large body of literature has used vehicle trajectories to microscopically …
Although a large body of literature has used vehicle trajectories to microscopically …
Analysis of the transition condition of rear-end collisions using time-to-collision index and vehicle trajectory data
Abstract Time-to-collision (TTC) index has been extensively utilized to evaluate rear-end
collision risks, but few studies have focused on the special transition process that vehicles …
collision risks, but few studies have focused on the special transition process that vehicles …
Effects of crash warning systems on rear-end crash avoidance behavior under fog conditions
Reduced visibility conditions increase both the probability of rear-end crash occurrences
and their severity. Crash warning systems that employ data from connected vehicles have …
and their severity. Crash warning systems that employ data from connected vehicles have …
Analysis of injury severity in rear-end crashes on an expressway involving different types of vehicles using random-parameters logit models with heterogeneity in …
To examine the difference in contributing factors of rear-end crashes of different injury
severity involving different types of vehicles, this paper proposed random-parameters …
severity involving different types of vehicles, this paper proposed random-parameters …