Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath
Summary and Download
This paper is a new framework to discovery short and long-term patterns over geo-spatiotemporal data (e.g. traffic, weather, etc.). Short-term patterns show propagation of geo-spatiotemporal entities which cause other entities to happen (e.g. rain –> accident –> traffic jam). Long-term patterns show the influence of a temporally long-term entity on its spatiotemporal neighborhood (e.g. major construction –> more traffic issue).
Recognition and Awards
This paper received the best poster award in the 2nd Workshop on Data-driven Intelligent Transportation (DIT 2019), jointly held with the ACM SIGKDD 2019.