Safety assessment of road sections and networks have historically relied on police-reported
crash data. These data have several noteworthy and significant shortcomings, including …

Relative to safety assessment using data from observed crashes, conflict-based road safety
assessment can potentially provide additional insights into crash causation processes …

The real-time conflict prediction model using traffic flow characteristics is much less studied
than the crash-based model. This study aims at exploring the relationship between conflicts …

Abstract Surrogate Safety Measures (SSMs) are widely used to assess potential crash risk
proactively. Notably, most of the existing safety indicators are fundamentally designed to …

Urban mobility plays a key role in the ecosystems of complex smart cities. It is considered a
key factor in enabling cities to become more intelligent, which highlights the importance of …

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 …

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

Most existing efforts to assess safety performance require sufficient crash data, which
generally takes a few years to collect and suffers from certain limitations (such as long data …

The mixed traffic flow has complex dynamics by nature. The kinematic differences between
automobiles and motorcycles result to distinct driving behaviors. Traditional automobile …