In automotive applications, movement-path prediction enables the delivery of predictive and
relevant services to drivers, eg, reporting traffic conditions and gas stations along the route …

Predictive queries over spatio-temporal data proved to be vital in many location-based
services including traffic management, ride sharing, and advertising. In the last few years …

With the rapid development of digital technologies, location-aware technologies have
helped increase trajectory data availability that results from tracking moving objects …

Driving history of a user with regard to a particular road intersection can be collected and
retained in storage. A Markov model can be used to predict likelihood of the user making a …

This paper presents the Panda system for efficient support of a wide variety of predictive
spatio-temporal queries that are widely used in several applications including traffic …

Predictive spatio-temporal queries are crucial in many applications. Traffic management is
an example application, where predictive spatial queries are issued to anticipate jammed …

A route trajectory is described as the upcoming course of the road in geographical terms as
well as in terms of time. This enables the possibility of providing context-aware applications …

(57) ABSTRACT A method includes receiving one or more search terms at a mobile
computing device while the mobile computing device is located at a particular location. A …

Measurement is a much advocated, yet infrequently applied technique of software
engineering. A major contributory factor to this state of affairs is that the majority of software …

The automotive domain, with its more and more increasing number of comfort and
infotainment functions, offers a field of opportunities for learning and context-sensitive …