Abstract The application of Computer Vision (CV) techniques massively stimulates
microscopic traffic safety analysis from the perspective of traffic conflicts and near misses …

With the increasing advancements in autonomous vehicle (AV) technologies, the forecasts
of AV market shares seem to follow an ever-growing trend. This leads to the inherent need …

In the past decades, trees were considered roadside hazard. Street trees were removed to
provide clear zone and improve roadside safety. Nowadays, street trees are considered to …

Autonomous vehicles (AVs) have been introduced into the traffic stream alongside
traditional vehicles (TVs) with the expectation of improved transportation safety, efficiency …

Ongoing efforts among cities to reinvigorate streets have encouraged innovations in using
smart data to understand pedestrian activities. Empowered by advanced algorithms and …

Introduction: Pedestrian safety has become a critical issue since walking is increasingly
promoted as a sustainable transport mode. However, pedestrians are vulnerable to severe …

Unsafe acts at non-signalized intersections have become a primary contributor to traffic
accidents and fatalities. Whereas many studies have focused on non-signalized …

Surrogate safety measure (SSM)-based proactive safety assessment in developing
economies like India with weak lane discipline mixed traffic conditions is limited and often …

Surrogate safety measures in the form of conflict indicators are indispensable components of
the proactive traffic safety toolbox. Conflict indicators can be classified into past-trajectory …

Understanding pedestrian road crossing behavior is crucial in the interests of pedestrian
traffic safety. The interaction between pedestrians and approaching vehicles at midblock …