In this work, we address the Truck-multi-Drone Team Logistics Problem (TmDTL), devoted to
visit a set of points with a truck helped by a team of unmanned aerial vehicles (UAVs) or …

Carpooling is an environmentally friendly transportation system. It can efficaciously help
resolve a variety of societal concerns of the urban areas, ranging from traffic congestion to …

In this paper, Self‐Organizing Map (SOM) for the Multiple Traveling Salesman Problem
(MTSP) with minmax objective is applied to the robotic problem of multigoal path planning in …

Abstract Mobility-on-demand (MoD) systems consist of a fleet of shared vehicles that can be
hailed for one-way point-to-point trips. The total distance driven by the vehicles and the fleet …

Truck operations decisions for transportation logistics pose challenges especially when
loads are less-than-truckload (LTL). Within a dynamic business environment load planners …

In complex and changing environments, MASs (Multi-Agent Systems) have to be faced with
many challenges and their adaptivity can hardly emerge from the localized, phased and …

Cellular V2X, the “Vehicle to Everything” standard, defines a framework for information
exchange among vehicles and other network entities. In one of the main modes, LTE V2X …

e-Commerce has become a primary part of any country's economy, and seeking maximum
efficiency and level of service is an essential concern for any corporation in order to stay in …

Accurately predicting the real-life performance of algorithms solving the Dial-a-Ride Problem
(DARP) in the context of Mobility on Demand (MoD) systems with ridesharing requires …

This study develops a model for customer selection and vehicle scheduling with time
windows for moving companies. To reflect the actual operations of moving companies, the …