Proactive traffic safety management systems can monitor traffic conditions in real-time,
identify the formation of unsafe traffic dynamics, and implement suitable interventions to …

Accurately modelling crashes, and predicting crash occurrence and associated severities
are a prerequisite for devising countermeasures and developing effective road safety …

Real-time traffic crash prediction has been a major concern in the development of Collision
Avoidance Systems (CASs) along with other intelligent and resilient transportation …

Objective: Crash occurrence prediction has been of major importance in proactively
improving traffic safety and reducing potential inconveniences to road users. Conventional …

Real-time crash risk evaluation models will likely play a key role in Active Traffic
Management (ATM). Models have been developed to predict crash occurrence in order to …

Although there are numerous studies examining the impact of real-time traffic and weather
parameters on crash occurrence on freeways, to the best of the authors' knowledge there …

Driven by advancements in data-driven methods, recent developments in proactive crash
prediction models have primarily focused on implementing machine learning and artificial …

The concept of measuring the crash risk for a very short time window in near future is
gaining more practicality due to the recent advancements in the fields of information systems …

Highway crashes, along with the property damage, personal injuries, and fatalities that they
cause, continue to present one of the most significant and critical transportation problems. At …

Secondary crashes usually occur within the spatio-temporal impact ranges of primary
crashes, which could cause traffic disturbance and increase traffic safety problems …