Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …

In the context of autonomous vehicles on highways, one of the first and most important tasks
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …

In many spatial trajectory-based applications, it is necessary to map raw trajectory data
points onto road networks in digital maps, which is commonly referred to as a map-matching …

GPS trajectories are the essential foundations for many trajectory-based applications. Most
applications require a large number of high sample rate trajectories to achieve a good …

Research on travel time prediction shows its importance in the rational planning of travel
arrangements and traffic congestion mitigation. The scale of taxi and online ride-hailing …

Map matching for cellular data is to transform a sequence of cell tower locations to a
trajectory on a road map. It is an essential processing step for many applications, such as …

As a fundamental component in map service, map matching is of great importance for many
trajectory-based applications, eg, route optimization, traffic scheduling, and fleet …

Human mobility prediction is of great importance for a wide spectrum of location-based
applications. However, predicting mobility is not trivial because of four challenges: 1) the …

Recovering intermediate missing GPS points in a sparse trajectory, while adhering to the
constraints of the road network, could offer deep insights into users' moving behaviors in …

Map matching of sparse vehicle trajectories is a fundamental problem in location-based
services, such as traffic flow analysis and vehicle routing. Existing literature mainly relies on …