Knowl Inf Syst https://doi.org/10.1007/s10115-018-1225-7 SURVEY PAPER Spatiotemporal trafﬁc network analysis: technology and applications 1 2 Huiyu Zhou · Kotaro Hirasawa Received: 13 September 2017 / Accepted: 22 May 2018 © Springer-Verlag London Ltd., part of Springer Nature 2018 Abstract 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 plan- ning. 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 investi- gate 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. Keywords Spatiotemporal database · Trafﬁc network analysis · Spatiotemporal trafﬁc pattern · Trafﬁc networks 1 Introduction
Knowledge and Information Systems – Springer Journals
Published: May 31, 2018
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