The Quest for Scalable and Intelligent Trajectory Data Analytics Systems: Status Report and Future Directions

摘要

A large volume of sensor networks and trajectories of mobile objects are collected. Such data offer us high value knowledge to understand moving objects and locations, fostering a broad range of applications in smart cities, enabling intelligent transportation systems and intelligent urban computing. The next generation of roads needs to be intelligent to accommodate a future transition to fully autonomous vehicles. Consequently, we need to engineer scalable and smart Trajectory Data Analytics Systems in order to analyze both historical data and real-time data flows, derive insights and convert insights into decisions and actions.The purpose of this paper is first to identify key functional and non-functional requirements that a Trajectory Data Analytical system must provide and second to survey open-source technologies designed for the analysis of general geo-referenced data.