A systematic review of traffic conflict-based safety measures with a focus on application context
Relative to safety assessment using data from observed crashes, conflict-based road safety
assessment can potentially provide additional insights into crash causation processes …
assessment can potentially provide additional insights into crash causation processes …
A systematic map** 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 …
Predicting the adoption of connected autonomous vehicles: A new approach based on the theory of diffusion of innovations
On the grounds that individuals heavily rely on the information that they receive from their
peers when evaluating adoption of a radical innovation, this paper proposes a new …
peers when evaluating adoption of a radical innovation, this paper proposes a new …
Classifying travelers' driving style using basic safety messages generated by connected vehicles: Application of unsupervised machine learning
Driving style can substantially impact mobility, safety, energy consumption, and vehicle
emissions. While a range of methods has been used in the past for driving style …
emissions. While a range of methods has been used in the past for driving style …
The impact of the connected environment on driving behavior and safety: A driving simulator study
The connected environment provides surrounding traffic information to drivers via different
driving aids that are expected to improve driving behavior and assist in avoiding safety …
driving aids that are expected to improve driving behavior and assist in avoiding safety …
Trajectory optimization of connected and autonomous vehicles at a multilane freeway merging area
Merging areas on freeways are primary locations for bottlenecks due to vehicles' mandatory
lateral conflicts. These critical conflicts, however, are potentially avoidable with Connected …
lateral conflicts. These critical conflicts, however, are potentially avoidable with Connected …
Platoon based cooperative driving model with consideration of realistic inter-vehicle communication
Recent developments of information and communication technologies (ICT) have enabled
vehicles to timely communicate with each other through wireless technologies, which will …
vehicles to timely communicate with each other through wireless technologies, which will …
Tracking a system of shared autonomous vehicles across the Austin, Texas network using agent-based simulation
This study provides a large-scale micro-simulation of transportation patterns in a
metropolitan area when relying on a system of shared autonomous vehicles (SAVs). The six …
metropolitan area when relying on a system of shared autonomous vehicles (SAVs). The six …
Traffic conflict prediction using connected vehicle data
Transportation safety studies have been mostly focused on using crash data that are rare
events. Alternatively, conflict estimation can be used to assess safety. This has been proven …
events. Alternatively, conflict estimation can be used to assess safety. This has been proven …
Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest
Accurate crash frequency prediction is critical for proactive safety management. The
emerging connected vehicles technology provides us with a wealth of vehicular motion data …
emerging connected vehicles technology provides us with a wealth of vehicular motion data …