Last-mile operations in forward and reverse logistics are responsible for a large part of the
costs, emissions, and times in supply chains. These operations have increased due to the …

In late 2015 three of the co-authors of this paper published the first review on time-
dependent routing problems. Since then, there have been several important algorithmic …

In order to improve the performance of predictive energy management strategies (PEMS), a
novel neural network based vehicle velocity prediction strategy (NN-VVP) was proposed …

Short-term traffic speed prediction is vital for proactive traffic control, and is one of the
integral components of an intelligent transportation system (ITS). Accurate prediction of short …

Geographic information systems, global positioning systems, traffic flow sensors and cellular
phones are sources of real-time traffic data in road networks. However, many vehicle routing …

Quantification of traffic dynamics is a valuable tool for city planning and management.
Metrics such as the vehicle average speed, travel time, delays, and count of stops, can be …

Short-term traffic flow prediction is an important basis of intelligent transportation systems. Its
accuracy directly affects the performance of traffic control and induction. To improve …

Travel time is a crucial measure in transportation. Accurate travel time prediction is also
fundamental for operation and advanced information systems. A variety of solutions exist for …

In the age of e-commerce, logistics companies often operate within extensive road networks
without accurate knowledge of travel times for their specific fleet of vehicles. Moreover …

Traffic and congestion have a big impact on the performance of transportation systems.
Travel time models are required to calculate trip durations and arrival times when traffic …