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 …

Undirected, sparse and large-scaled networks existing ubiquitously in practical engineering
are vitally important since they usually contain rich information in various patterns. Matrix …

The transportation sector remains a major contributor to greenhouse gas emissions. The
understanding of energy-efficient driving behaviors and utilization of energy-efficient driving …

With the increasing availability of moving-object tracking data, trajectory search is
increasingly important. We propose and investigate a novel query type named trajectory …

The monitoring of a system can yield a set of measurements that can be modeled as a
collection of time series. These time series are often sparse, due to missing measurements …

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) …

Travel planning and recommendation are important aspects of transportation. We propose
and investigate a novel Collective Travel Planning (CTP) query that finds the lowest-cost …

The application of clustering algorithms is expanding due to the rapid growth of data
volumes. Nevertheless, existing algorithms are not always effective because of high …

With the growing volumes of vehicle trajectory data, it becomes increasingly possible to
capture time-varying and uncertain travel costs, eg, travel time, in a road network. The …

Data are increasingly available that enable detailed capture of travel costs associated with
the movements of vehicles in road networks, notably travel time, and greenhouse gas …