BBTác giả: Ding, Yichen; Người hướng dẫn: -; Người tham gia: Zhou, Xun; Wu, Guojun; Li, Yanhua; Bao, Jie; Zheng, Yu; Luo, Jun (2020)
Given a set of user-specified locations and a massive trajectory dataset, the task of mining spatio-temporal reachable regions aims at finding which road segments are reachable from these locations within a given temporal period based on the historical trajectories. Determining such spatio-temporal reachable regions with high accuracy is vital for many urban applications, such as location-based recommendations and advertising. Traditional approaches to answering such queries essentially perform a distance-based range query over the given road network, which does not consider dynamic travel time at different time of day. By contrast, we propose a data-driven approach to formulate the p... 
