Abstract | ||
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Many types of human mobility data, such as flows of taxicabs, card swiping data of subways, bike trip data and Call Details Records (CDR), can be modeled by a Spatio-Temporal Graph (STG). STG is a directed graph in which vertices and edges are associated with spatio-temporal properties (e.g. the traffic flow on a road and the geospatial location of an intersection). In this paper, we instantly detect interesting phenomena, entitled black holes and volcanos, from an STG. Specifically, a black hole is a subgraph (of an STG) that has the overall inflow greater than the overall outflow by a threshold, while a volcano is a subgraph with the overall outflow greater than the overall inflow by a threshold (detecting volcanos from an STG is proved to be equivalent to the detection of black holes). The online detection of black holes/volcanos can timely reflect anomalous events, such as disasters, catastrophic accidents, and therefore help keep public safety. The patterns of black holes/volcanos and the relations between them reveal human mobility patterns in a city, thus help formulate a better city planning or improve a system's operation efficiency. Based on a well-designed STG index, we propose a two-step black hole detection algorithm: The first step identifies a set of candidate grid cells to start from; the second step expands an initial edge in a candidate cell to a black hole and prunes other candidate cells after a black hole is detected. Then, we adapt this detection algorithm to a continuous black hole detection scenario. We evaluate our method based on Beijing taxicab data and the bike trip data in New York, finding urban anomalies and human mobility patterns. |
Year | DOI | Venue |
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2015 | 10.1145/2820783.2820811 | SIGSPATIAL/GIS |
Keywords | Field | DocType |
Urban computing, Spatio-temporal graph, Black hole detection | Geospatial analysis,Data mining,Traffic flow,Vertex (geometry),Computer science,Directed graph,Black hole,Urban computing,Inflow,Outflow | Conference |
Citations | PageRank | References |
24 | 0.96 | 23 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Liang Hong | 1 | 193 | 33.79 |
Yu Zheng | 2 | 8939 | 432.87 |
Duncan Yung | 3 | 24 | 1.30 |
Jingbo Shang | 4 | 88 | 15.88 |
Lei Zou | 5 | 1161 | 68.43 |