Urban bus companies have collected a tremendous amount of travel data from passengers
in the past years. In spite of great value for bus schedule optimization, these data have not …

Abstract Spatial Data Intelligence (SDI) encompasses acquiring, storing, analyzing, mining,
and visualizing spatial data to gain insights into the physical world and uncover valuable …

With the continued deployment of the Internet of Things (IoT), increasing volumes of devices
are being deployed that emit massive spatially referenced data. Due in part to the dynamic …

In this paper, we study a new variant of trajectory similarity search from the context of
continuous query processing. Given a moving object from to, following a reference route, we …

Pioneered by Google's Pregel, many distributed systems have been developed for large-
scale graph analytics. These systems expose the user-friendly" think like a vertex" …

Shortest path query processing on dynamic road networks is a fundamental component for
real-time navigation systems. In the face of an enormous volume of customer demand from …

The problem of identifying the k-shortest paths (KSPs for short) in a dynamic road network is
essential to many location-based services. Road networks are dynamic in the sense that the …

Route planning over dynamic road networks is an increasingly fundamental problem of
modern transportation systems for human society, especially in the field of Intelligent Supply …

The problem of identifying the k-shortest paths (KSPs for short) in a dynamic road network is
essential to many location-based services. Road networks are dynamic in the sense that the …

The optimal path planning is one of the hot spots in the research of intelligence
transportation and geographic information systems. There are many productions and …