Living in the Information Age allows almost everyone have access to a large amount of
information and options to choose from in order to fulfill their needs. In many cases, the …

When planning routes, drivers usually consider a multitude of different travel costs, eg,
distances, travel times, and fuel consumption. Different drivers may choose different routes …

Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …

Abstract Flying Ad-Hoc Network (FANET) formed by a swarm of Unmanned Aerial Vehicles
(UAVs) is currently a trending research topic because of its capability in performing complex …

Advancements in mobile technology and computing have fostered the collection of a large
number of civic datasets that capture the pulse of urban life. Furthermore, the open …

Different uses of a road network call for the consideration of different travel costs: in route
planning, travel time and distance are typically considered, and green house gas (GHG) …

In this paper, we investigate the computation of alternative paths between two locations in a
road network. More specifically, we study the k-shortest paths with limited overlap (k SPwLO …

One existing challenge associated with large scale skyline queries on cloud services,
particularly when dealing with private information such as biomedical data, is supporting …

A driver's choice of a route to a destination may depend on the route's length and travel time,
but a multitude of other, possibly hard-to-formalize aspects, may also factor into the driver's …

Multi-Constraint Shortest Path (MCSP) generalizes the classic shortest path from single to
multiple criteria such that more personalized needs can be satisfied. However, MCSP query …