Introduction Non-recurrent congestion caused by traffic incident is difficult to predict but
should be dealt with in a timely and effective manner to reduce its influence on road capacity …

Predicting the duration of traffic incidents is a challenging task due to the stochastic nature of
events. The ability to accurately predict how long accidents will last can provide significant …

Based on millions of traffic accident data in the United States, we build an accident duration
prediction model based on heterogeneous ensemble learning to study the problem of …

Identifying the influential factors in incident duration is important for traffic management
agency to mitigate the impact of traffic incidents on freeway operation. Previous studies have …

Transitioning to electric vehicles (EVs) will create both opportunities and challenges.
Although some programs and resources related to EVs have been made available to first …

Driving volatility captures the extent of speed variations when a vehicle is being driven.
Extreme longitudinal variations signify hard acceleration or braking. Warnings and alerts …

Accurate prediction and reliable significant factor analysis of incident clearance time are two
main objects of traffic incident management (TIM) system, as it could help to relieve traffic …

Develo** a high-performing traffic incident-duration prediction model is considered a key
component for evaluating the impact of these incidents on the roadway network. Various …

The occurrence of incidents seriously affects the operation of the whole urban railway
system and passengers' travel experience. Accurate delay prediction is important for traffic …

Abstract Safety Performance Functions (SPFs) provide a basis for identifying locations
where countermeasures can be effective. While SPFs in the Highway Safety Manual (HSM) …