Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …

Traffic congestion is becoming the issues of the entire globe. This study aims to explore and
review the data mining and machine learning technologies adopted in research and industry …

Improving the pedestrian traffic environment is important for the sustainable development of
the city. This study goes beyond the traditional analysis of traditional traffic accident police …

Pedestrians are usually referred to as the most vulnerable road users because they lack
sound protection against crashes. The danger of collisions for pedestrians increases at …

A critical safety problem in road networks is the conflicts on unsignalized crosswalks. Thus, a
proactive approach to assess pedestrian safety performance is required. Simulating the …

The present study aims to investigate the impact of social information on pedestrians' red-
light violation compared to non-social information. The binary logistic regression model …

Pedestrian safety is generally assessed using frequency of crashes, based on historical
data, for a given transportation facility. However, the lack of good and reliable crash data has …

Pedestrian-vehicle conflicts are one of the most important safety concerns at signalized
intersections especially in urban areas. Conflicting vehicles and pedestrians select their …

Active safety systems which assess highly dynamic traffic situations including pedestrians
are required with growing demands in autonomous driving and Connected Vehicles. In this …

Pedestrian safety is one of the most challenging issues in road networks. Understanding
how pedestrians maneuver across an intersection is the key to applying countermeasures …