ChatGPT is on the horizon: could a large language model be suitable for intelligent traffic safety research and applications?
ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we
approach intelligent traffic safety systems. This paper begins with a brief introduction about …
approach intelligent traffic safety systems. This paper begins with a brief introduction about …
[HTML][HTML] Application of smart technologies in safety of vulnerable road users: A review
MS Parvez, S Moridpour - International Journal of Transportation Science …, 2024 - Elsevier
Road safety is the most important feature of a modern city, and it affects almost everyone in
the community, especially vulnerable road users (VRUs). This paper comprehensively …
the community, especially vulnerable road users (VRUs). This paper comprehensively …
Investigating surrogate safety measures at midblock pedestrian crossings using multivariate models with roadside camera data
This study aims to evaluate and compare Surrogate Safety Measures (SSMs) at five
midblock Rectangular Rapid Flashing Beacons (RRFB) and two midblock Pedestrian Hybrid …
midblock Rectangular Rapid Flashing Beacons (RRFB) and two midblock Pedestrian Hybrid …
Freeway crash prediction models with variable speed limit/variable advisory speed
Variable speed limit (VSL) and variable advisory speed (VAS) signs are efficient, cost-
effective and among the state-of-the-art active traffic management (ATM) strategies. They …
effective and among the state-of-the-art active traffic management (ATM) strategies. They …
Risk-compensation trends in road safety during COVID-19
The COVID-19 pandemic has had a global impact, disrupting the normal trends of our
everyday life. More specifically, the effects of COVID-19 on road safety are still largely …
everyday life. More specifically, the effects of COVID-19 on road safety are still largely …
Short-term safety performance functions by random parameters negative binomial-Lindley model for part-time shoulder use
T Hasan, M Abdel-Aty - Accident Analysis & Prevention, 2024 - Elsevier
Abstract Part-time Shoulder Use (PTSU) is a traffic management and operation strategy that
allows the use of the left or right shoulder as a travel lane, typically during the peak hours of …
allows the use of the left or right shoulder as a travel lane, typically during the peak hours of …
Examining pedestrian crash frequency, severity, and safety in numbers using pedestrian exposure from Utah traffic signal data
A Islam, M Mekker, PA Singleton - Journal of transportation …, 2022 - ascelibrary.org
The focus of this study was twofold:(1) to estimate models of frequency and injury severity in
pedestrian crashes at signalized intersections and (2) to examine whether the “safety in …
pedestrian crashes at signalized intersections and (2) to examine whether the “safety in …
Trajectory prediction for vehicle conflict identification at intersections using sequence-to-sequence recurrent neural networks
Surrogate safety measures in the form of conflict indicators are indispensable components of
the proactive traffic safety toolbox. Conflict indicators can be classified into past-trajectory …
the proactive traffic safety toolbox. Conflict indicators can be classified into past-trajectory …
[HTML][HTML] Assessing the risk of pedestrian crossing behavior on suburban roads using structural equation model
While pedestrian crashes on suburban roads have received more attention over recent
years, the role of pedestrian crossing risk in areas adjacent to pedestrian crossing facilities …
years, the role of pedestrian crossing risk in areas adjacent to pedestrian crossing facilities …
Time-specific hierarchical models for predicting crash frequency of reversible and high-occupancy vehicle lanes
Abstract Time-specific Safety Performance Functions (SPFs) were proposed to achieve
accurate and dynamic crash frequency predictions. This study contributes to the literature by …
accurate and dynamic crash frequency predictions. This study contributes to the literature by …