Spatiotemporal traffic network analysis: technology and applications

摘要

The rapid development of intelligent transportation systems and the emergence of the sharing economy have given rise to vast amounts of spatiotemporal data. Consequently, spatiotemporal traffic network analysis has become a crucial approach to traffic managers in traffic control, route guidance, traffic policy adjustment, and transportation network planning. This study provides a comprehensive survey of recent developments in spatiotemporal traffic network analysis and reviews the latest research ranging from 2000 to 2016. This paper focuses on overall methods and general characteristics involved in traffic network analysis. First, we introduce some potential applications of spatiotemporal traffic network analysis. Second, we discuss data sources and corresponding pretreatment methods. Then, we investigate various existing methodologies to examine the state of the art in traffic network analysis. At the end of this survey, we provide more detailed discussions on future research challenges and new research points.