Abstract | ||
---|---|---|
We discuss two variations of the moving network Voronoi diagram. The first one addresses the following problem: given a network with n vertices and E edges. Suppose there are m sites (cars, postmen, etc) moving along the network edges and we know their moving trajectories with time information. Which site is the nearest one to a point p located on network edge at time t′? We present an algorithm to answer this query in O(log(mW logm)) time with O(nmW log2m + n2logn + nE) time and O(nmW logm + E) space for preprocessing step, where E is the number of edges of the network graph (the definition of W is in section 3). The second variation views query point p as a customer with walking speed v. The question is which site he can catch the first? We can answer this query in O(m + log(mW logm)) time with same preprocessing time and space as the first case. If the customer is located at some node, then the query can be answered in O(log(mW logm)) time. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1007/978-3-642-14355-7_14 | AAIM |
Keywords | Field | DocType |
query point p,preprocessing time,m site,network graph,network edge,mw logm,network voronoi diagram,time information,e edge,point location,nmw logm,voronoi diagram | Graph,Combinatorics,Point location,Vertex (geometry),Computer science,Spacetime,Edge device,Voronoi diagram | Conference |
Volume | ISSN | ISBN |
6124 | 0302-9743 | 3-642-14354-7 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chenglin Fan | 1 | 28 | 7.24 |
Jun Luo | 2 | 222 | 26.61 |