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 …
Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model
A Hosseinzadeh, A Moeinaddini… - Journal of safety …, 2021 - Elsevier
Introduction: Reducing the severity of crashes is a top priority for safety researchers due to
its impact on saving human lives. Because of safety concerns posed by large trucks and the …
its impact on saving human lives. Because of safety concerns posed by large trucks and the …
Integration of automated vehicles in mixed traffic: Evaluating changes in performance of following human-driven vehicles
Abstract The introduction of Automated Vehicles (AVs) into the transportation network is
expected to improve system performance, but the impacts of AVs in mixed traffic streams …
expected to improve system performance, but the impacts of AVs in mixed traffic streams …
A stochastic framework using Bayesian optimization algorithm to assess the network-level societal impacts of connected and autonomous vehicles
Connected and autonomous vehicle technologies are expected to alter transportation
systems by enhancements in mobility, safety, and emission reduction. While many studies …
systems by enhancements in mobility, safety, and emission reduction. While many studies …
[HTML][HTML] Autonomous Vehicles in Mixed Traffic Conditions—A Bibliometric Analysis
Autonomous Vehicles (AVs) with their immaculate sensing and navigating capabilities are
expected to revolutionize urban mobility. Despite the expected benefits, this emerging …
expected to revolutionize urban mobility. Despite the expected benefits, this emerging …
Safe autonomous lane changes and impact on traffic flow in a connected vehicle environment
FV Monteiro, P Ioannou - Transportation research part C: emerging …, 2023 - Elsevier
Despite the recent advancements in autonomous vehicle technologies, performing safe lane
changes and merging in dense traffic environments remains an open challenge. One …
changes and merging in dense traffic environments remains an open challenge. One …
[HTML][HTML] Investigating the impact of connected and automated vehicles on signalized and unsignalized intersections safety in mixed traffic
Road traffic crashes are a major safety problem, with one of the leading factors in crashes
being human error. Automated and connected vehicles (CAVs) that are equipped with …
being human error. Automated and connected vehicles (CAVs) that are equipped with …
[HTML][HTML] Using computer vision and machine learning to identify bus safety risk factors
In road safety research, bus crashes are particularly noteworthy because of the large
number of bus passengers involved and the challenge that it puts to the road network (with …
number of bus passengers involved and the challenge that it puts to the road network (with …
Dynamic urban traffic rerouting with fog‐cloud reinforcement learning
Dynamic rerouting has been touted as a solution for urban traffic congestion. However, its
implementation is stymied by the complexity of urban traffic. To address this, recent studies …
implementation is stymied by the complexity of urban traffic. To address this, recent studies …
Real-time crash prediction for a long low-traffic volume corridor using corrected-impurity importance and semi-parametric generalized additive model
A Khoda Bakhshi, MM Ahmed - Journal of transportation safety & …, 2022 - Taylor & Francis
Real-time risk assessment studies have investigated a limited length of corridors. However,
the necessity of assessing the safety performance of Connected Vehicles (CVs) requires …
the necessity of assessing the safety performance of Connected Vehicles (CVs) requires …