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 …

This paper aims at improving supply chain resilience by applying a model-and event-driven
architecture from the crisis management field: the AIC information system which Acquires …

Predicting traffic incident duration is a major challenge for many traffic centres around the
world. Most research studies focus on predicting the incident duration on motorways rather …

Predicting the traffic incident duration is a hard problem to solve due to the stochastic nature
of incident occurrence in space and time, a lack of information at the beginning of a reported …

With the acceleration of urbanisation, decreased vehicle prices and increased population in
many cities, traffic demand has been rapidly increasing in recent years. Urban road traffic …

Traffic control optimization is a challenging task for various traffic centres in the world and
majority of approaches focus only on applying adaptive methods under normal (recurrent) …

In this research, we introduce a Decision Support System (DSS) that incorporates two multi-
criteria decision-making (MCDM) techniques: the Alternatives Ranking with Elected …

A multi-modal transport system is acknowledged to have robust failure tolerance and can
effectively relieve urban congestion issues. However, estimating the impact of disruptions …

In this research, performance measures of the Utah Department of Transportation (UDOT)
Traffic Incident Management (TIM) program were analyzed. Performance measures were …

The rapid growth in terms of the availability of transportation data provides great potential for
the introduction of emerging data-driven methodologies into transportation-related research …