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

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 …

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

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 …

A connected environment provides driving aids to assist drivers in decision-making and
aims to make driving manoeuvres safer by minimising uncertainty associated with decisions …

As autonomous vehicles (AVs) advance from theory into practice, their safety and
operational impacts are being more closely studied. This study aims to contribute to the ever …

Facilitating proactive pedestrian safety management, the application of extreme value theory
(EVT) models has gained popularity due to its extrapolation capabilities of estimating …