Abstract Automatic Number Plate Recognition (ANPR) technology has been intensively
engaged in managing the smartification and digitalization of cities in recent years as an …

Urban anomalies may result in loss of life or property if not handled properly. Automatically
alerting anomalies in their early stage or even predicting anomalies before happening is of …

Short-term passenger demand forecasting is of great importance to the on-demand ride
service platform, which can incentivize vacant cars moving from over-supply regions to over …

The prediction of traffic crashes is an essential topic in traffic safety research. Most of the
previous studies conducted experiments on real-time crash prediction of expressways or …

We develop accident prediction models for a stretch of the urban expressway Autopista
Central in Santiago, Chile, using disaggregate data captured by free-flow toll gates with …

Intersections are among the most dangerous roadway facilities due to the complex traffic
conflicting movements and frequent stop-and-go traffic. However, previous intersection …

The prediction of the likelihood of vehicle crashes constitutes an indispensable component
of freeway safety management. Due to data collection limitations, studies have used mainly …

Introduction: Driving in foggy weather conditions has been recognized as a major safety
concern for many years. Driver behavior and performance can be negatively affected by …

Real-time risk assessment studies have investigated a limited length of corridors. However,
the necessity of assessing the safety performance of Connected Vehicles (CVs) requires …

Real-time crash risk evaluation is an emerging analysis topic which can identify crash-prone
traffic conditions and further benefit the implementation of the active traffic safety …