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

With the recent advancements in computer vision and artificial intelligence, traffic conflicts
occurring at an intersection and associated traffic characteristics can be obtained at the …

Using traffic conflict-based extreme value theory (EVT) models to quantify real-time crash-
risk of road facilities is a promising direction for develo** proactive traffic safety …

Abstract Extreme Value Theory (EVT) models have recently gained increasing popularity for
crash risk estimation using traffic conflict data. Extreme value modeling consists of two …

Extreme value theory models have opened doors for before-after safety evaluation of
engineering treatments using traffic conflict techniques. Recent advancements in automated …

Pedestrians represent a group of vulnerable road users who are at a higher risk of
sustaining severe injuries than other road users. As such, proactively assessing pedestrian …

A major difficulty in assessing road traffic safety is the scarcity of historical accident data.
xxThis is a common problem in contexts where a certain level of safety has been reached or …

The use of traffic conflicts in road safety evaluation is gaining considerable popularity as it
plays a vital role in develo** a proactive safety management strategy and allowing for real …

Traffic conflict techniques rely heavily on the proper identification of conflict extremes, which
directly affects the prediction performance of extreme value models. Two sampling …

Pedestrians are a vulnerable road user group, and their crashes are generally spread
across the network rather than in a concentrated location. As such, understanding and …