This review article explores and locates the current state-of-the-art related to application
areas from freight transportation, supply chain and logistics that focuses on arrival time …

Context awareness adds intelligence to and enriches data for applications, services and
systems while enabling underlying algorithms to sense dynamic changes in incoming data …

With the advent of the Internet of Things (IoT), it has become possible to have a variety of
data sets generated through numerous types of sensors deployed across large urban areas …

Abstract Shipment Status Time Prediction (STP) is a complex problem requiring expertise in
many disciplines, including Machine Learning (ML) and logistics management, to develop …

Background Diabetes is a very common disease today and has acquired a worrying focus in
the field of public health globally, in fact, it is estimated that the number of people with …

With the rapid expansion of sensor technologies and wireless network infrastructure,
research and development of traffic associated applications, such as real-time traffic maps …

Intermodal freight rail operations represent a complex stochastic system that is impacted by
disruptions and disturbances from diverse causes like extreme weather events, unplanned …

Flight delays negatively impact costs, customer satisfaction, and revenue in the aviation
industry. As a result, it is critical to identify the factors that cause flight delays for each airport …

Purpose: One of the leading causes of violent fatalities around the world is road traffic
collisions, and pedestrians are among the most vulnerable road users with respect to such …

The rising need for mobility, especially in large urban centers, consequently results in
congestion, which leads to increased travel times and pollution. Advanced traffic …