In an era where people in the world are concerned about environmental issues, companies
must reduce distribution costs while minimizing the pollution generated during the …

We study the system-level effects of the introduction of large populations of Electric Vehicles
(EVs) on the power and transportation networks. We assume that each EV owner solves a …

The spatial and temporal databases have been studied widely and intensively over years. In
this paper, we study how to answer queries of finding the best departure time that minimizes …

We investigate the complexity of shortest paths in time-dependent graphs, in which the costs
of edges vary as a function of time, and as a result the shortest path between two nodes s …

The itinerary planning problem in an urban public transport system constitutes a common
routing and scheduling decision faced by travelers. The objective of this paper is to present …

We present a concise study of the time-dependent shortest path problem, its theoretical
properties, and its solution algorithms. Time-dependent networks, in which the travel time …

The complexity of heterogeneous mobile platforms is growing at a rate faster than our ability
to manage them optimally at runtime. For example, state-of-the-art systems-on-chip (SoCs) …

Hazardous materials routing and scheduling decisions involve the determination of the
minimum cost and/or risk routes for servicing the demand of a given set of customers. This …

For thousands of years, people have been innovating new technologies to make their travel
faster, the latest of which is GPS technology that is used by millions of drivers every day. The …

This paper presents a mixed-initiative tool for multiobjective planning and asset routing
(TMPLAR) in dynamic and uncertain environments. TMPLAR is built upon multiobjective …