Pedestrian safety plays an important role in the transportation system. Intersections are
dangerous locations for pedestrians with mixed traffic. This paper aims to predict the near …

In the within-intersection area, vehicles from different approaches make turning movements
resulting in many conflict points. Hence, drivers are more prone to make mistakes in that …

This study aims to explore the effects of drivers' visual environment on speeding crashes by
using different machine learning techniques. To obtain the data of drivers' visual …

The advent of smart cities has motivated the field of transportation safety to transition
towards a proactive approach that anticipates and mitigates risks before crashes occur. One …

Rapid global economic development, population growth, and increased motorization have
resulted in significant issues in urban traffic safety. This study explores the intrinsic …

The primary objective of this study was to evaluate the impacts of traffic states on crash risk
in the vicinities of Type A weaving segments. A deep convolutional embedded clustering …

The utilization of traffic conflict indicators is crucial for assessing traffic safety, especially
when the crash data is unavailable. To identify traffic conflicts based on traffic flow …

In a neural network of deep learning, it needs a series of algorithms that endeavor to
recognize underlying relationships in a set of data. In order to protect the privacy of user's …

Toll plaza is a designated area of controlled-access roads like expressway, bridge, and
tunnel for toll collection. A number of toll booths are often placed at the toll plaza …

This research presents a robust approach for automated safety diagnosis using sensor
fusion techniques. This work fuses the outputs of a roadside low-resolution camera and a …