As today's organizations are capturing exponentially larger amounts of data than ever, now
is the time for organizations to rethink how they digest that data. Through advanced …

Real-time urban traffic speed estimation provides significant benefits in many real-world
applications. However, existing traffic information acquisition systems only obtain coarse …

Skyline queries are used to find the Pareto optimal solution from datasets containing multi-
dimensional data points. In this paper, we propose a new type of skyline queries whose …

In many graph applications, computing cost-optimal paths between two locations is an
important task for routing and distance computation. Depending on the network multiple cost …

Path skyline query is a fundamental problem in bicriteria network analysis and is widely
applied in a variety of applications. Given a source s and a destination t in a bicriteria …

Government data identifies driver behaviour errors as a factor in 94% of car crashes, and
autonomous vehicles (AVs), which avoids risky driver behaviours completely, are expected …

Computational performance of route planning algorithms has become increasingly important
in recent real navigation applications with many simultaneous route requests. Navigation …

Traffic speed inference enables many applications that are essential for everyday life. Most
traffic-prediction approaches assume that a constant number of sensors are deployed on the …

Skyline path queries (SPQs) extend skyline queries to multi-dimensional networks, such as
multi-cost road networks (MCRNs). Such queries return a set of non-dominated paths …

This paper presents an experimental evaluation of probabilistic time-dependent travel time
computation. Monte Carlo simulation is used for the computation of travel times and their …