A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling
Abstract Surrogate Safety Measures (SSM) are important for safety performance evaluation,
since crashes are rare events and historical crash data does not capture near crashes that …
since crashes are rare events and historical crash data does not capture near crashes that …
Evaluating the safety impact of connected and autonomous vehicles on motorways
Recent technological advancements bring the Connected and Autonomous Vehicles (CAVs)
era closer to reality. CAVs have the potential to vastly improve road safety by taking the …
era closer to reality. CAVs have the potential to vastly improve road safety by taking the …
[HTML][HTML] Towards common ethical and safe 'behaviour'standards for automated vehicles
E Papadimitriou, H Farah, G van de Kaa… - Accident Analysis & …, 2022 - Elsevier
Automated vehicles (AVs) aim to dramatically improve traffic safety by reducing or
eliminating human error, which remains the leading cause of road crashes. However …
eliminating human error, which remains the leading cause of road crashes. However …
A safety assessment of mixed fleets with connected and autonomous vehicles using the surrogate safety assessment module
The transportation network can provide additional utility by addressing the safety concerns
on roads. On-road fatalities are an unfortunate loss of life and lead to significant costs for …
on roads. On-road fatalities are an unfortunate loss of life and lead to significant costs for …
Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors
In the foreseeable future, connected vehicles (CVs) will coexist with traditional vehicles
(TVs) resulting in a complex mixed traffic environment and the success of CVs will depend …
(TVs) resulting in a complex mixed traffic environment and the success of CVs will depend …
Real-time crash risk prediction using long short-term memory recurrent neural network
With the help of traffic detectors widely deployed along arterial roads and intersections, real-
time traffic data are collected and updated in a very short time period, which makes it …
time traffic data are collected and updated in a very short time period, which makes it …
Safety benefits of arterials' crash risk under connected and automated vehicles
MS Rahman, M Abdel-Aty, J Lee… - … Research Part C …, 2019 - Elsevier
This paper aims to investigate the safety impact of connected vehicles and connected
vehicles with the lower level of automation features under vehicle-to-vehicle (V2V) and …
vehicles with the lower level of automation features under vehicle-to-vehicle (V2V) and …
A new integrated collision risk assessment methodology for autonomous vehicles
Real-time risk assessment of autonomous driving at tactical and operational levels is
extremely challenging since both contextual and circumferential factors should concurrently …
extremely challenging since both contextual and circumferential factors should concurrently …
How instantaneous driving behavior contributes to crashes at intersections: Extracting useful information from connected vehicle message data
Connected and automated vehicles have enabled researchers to use big data for
development of new metrics that can enhance transportation safety. Emergence of such a …
development of new metrics that can enhance transportation safety. Emergence of such a …
Modelling car-following behaviour of connected vehicles with a focus on driver compliance
This paper incorporates the driver compliance behaviour into a connected vehicle driving
strategy (CVDS) that can be integrated with traditional car-following (CF) models to better …
strategy (CVDS) that can be integrated with traditional car-following (CF) models to better …