Le, Thuy, T.Nickerson, Bradford, G.2023-03-012023-03-012010https://unbscholar.lib.unb.ca/handle/1882/14927A spatio-temporal data structure to index objects moving at constant velocity on a graph is presented. It is designed to efficiently answer rectangle R plus time instance and time interval queries about the past positions of moving objects. Such data structures are useful, for example, when searching for vehicles moving on a road network in specific areas at specif times. Unlike other data structures that use Rtrees to index bounding boxes of moving object trajectories, our data structure represents moving objects as lines in a bounded space. For n moving object instances (unique entries of moving objects) on a graph with |E| edges, we show that O(log2 |E| + |L| x log2(n/|E|) + k) time is required to answer a rectangle R plus time interval query, for |L| the number of edges intersected by R and k the number of moving objects in range. Space O(n + k + |E|) is required to store n moving object instances with k intersections among them in |E| ordered polyline trees. Space Ω(n + |E|) is required to store the history of all n moving object instances.http://purl.org/coar/access_right/c_abf2technical reportComputer Science