Moving object map analytics: A framework enabling contextual spatial-temporal analytics of Internet of Things applications

摘要

Moving objects, for example vehicles, vessels, people, are being instrumented with Internet of Things devices such as GPS, environmental sensors, mobile cameras that produce big streaming data with spatial-temporal features enabling application innovations in many industries for autonomous driving, usage based insurance, fleet management, etc. We introduce an analytics framework to streamline the insights discovery from such big data on top of geographic map by pulling together a list of commonly required high performance functions with service-oriented architecture. Supported by a service composition approach, comprehensive applications intelligently managing moving objects could be built effectively. Example applications in connected vehicle domains are presented to illustrate the effectiveness of such a framework.