Critical incident stages identification and reasonable prediction of traffic incident duration
are essential in traffic incident management. In this paper, we propose a traffic incident …

Large-scale truck-involved crashes attract great attention due to their increasingly severe
injuries. The majority of those crashes are passenger vehicle–truck collisions. This study …

The present work used the analytical hierarchy process supported by a machine learning
technique (namely random forest variable importance) in a geospatial environment to …

Considering possible variable interaction effects, this study develops a maximum likelihood
regression tree-based (MLRT) model using the proposed two-variable splitting method to …

Traffic congestion can be divided into recurrent congestion and accidental congestion, and
the latter one is usually caused by traffic accidents. It is of great significance to predict the …

The analysis of traffic influence degree of urban traffic accident has a significant and real-
world importance for estimating traffic emergency grades and adopting corresponding …

Highway incidents, primary contributors to traffic congestion, often cause not only significant
delays to the daily roadway users, but also the reliability of transportation systems and even …

Most agencies, in response to and management of non-recurrent highway congestion, are
requested by the general public to provide the estimated delay and impacts of incidents; this …

This study models and simulates vehicle behaviors based on large-scale traffic-incident
congestion and the availability of Advanced Traveler Information Systems (ATIS). The study …

Abstract The Florida's Road Rangers monitor the freeways for incidents to minimize their
adverse impacts on traffic. The objectives of this study were to evaluate the extent to which …