A systematic mapping review of surrogate safety assessment using traffic conflict techniques

A Arun, MM Haque, A Bhaskar, S Washington… - Accident Analysis & …, 2021 - Elsevier
Safety assessment of road sections and networks have historically relied on police-reported
crash data. These data have several noteworthy and significant shortcomings, including …

A systematic review of traffic conflict-based safety measures with a focus on application context

A Arun, MM Haque, S Washington, T Sayed… - Analytic methods in …, 2021 - Elsevier
Relative to safety assessment using data from observed crashes, conflict-based road safety
assessment can potentially provide additional insights into crash causation processes …

Autonomous driving ethics: From trolley problem to ethics of risk

M Geisslinger, F Poszler, J Betz, C Lütge… - Philosophy & …, 2021 - Springer
In 2017, the German ethics commission for automated and connected driving released 20
ethical guidelines for autonomous vehicles. It is now up to the research and industrial …

A bivariate extreme value model for estimating crash frequency by severity using traffic conflicts

A Arun, MM Haque, A Bhaskar, S Washington… - Analytic methods in …, 2021 - Elsevier
Estimating crash frequency by severity levels using traffic conflicts remains relatively
unexplored in conflict-based traffic safety assessment, limiting its application scope and …

A crash injury model involving autonomous vehicle: Investigating of crash and disengagement reports

A Sinha, V Vu, S Chand, K Wijayaratna, V Dixit - Sustainability, 2021 - mdpi.com
Autonomous vehicles (AVs) are being extensively tested on public roads in several states in
the USA, such as California, Florida, Nevada, and Texas. AV utilization is expected to …

A lane-changing risk profile analysis method based on time-series clustering

T Chen, X Shi, YD Wong - Physica A: Statistical Mechanics and its …, 2021 - Elsevier
Lane-changing (LC) is an essential driving maneuver on roadways, and risky LC maneuvers
account for a large number of crash accidents. This study investigates the LC risk profile …

Injury risk assessment based on pre-crash variables: The role of closing velocity and impact eccentricity

MS Gulino, L Di Gangi, A Sortino, D Vangi - Accident Analysis & Prevention, 2021 - Elsevier
Thorough evaluations on injury risk (IR) are fundamental for guiding interventions toward the
enhancement of both the road infrastructure and the active/passive safety of vehicles. Well …

Severity analysis of red-light-running-related crashes using structural equation modeling

K Shaaban, I Gharraie, E Sacchi… - Journal of Transportation …, 2021 - Taylor & Francis
The study investigated factors affecting the severity of red-light-running (RLR)-related
crashes by means of crash records from the State of Florida (US). Previous studies have …

Increased Vehicle Intrusion as a Result of Vehicle Weight

L Eichaker, C Trepeck, M Arnett… - ASME …, 2021 - asmedigitalcollection.asme.org
Vehicle accidents remain a leading contribution to accidental deaths in the United States.
Recently, there has been increased interest on how differences in cargo loading affect crash …

[PDF][PDF] Evaluating Risks Associated With Automated Driving Systems

A Sinha - 2021 - unsworks.unsw.edu.au
Many countries are already testing automated driving systems (ADS) on public roads. Since
original equipment manufacturers (OEMs) and technology firms invest billions of dollars in …