Name
Abstract | ||
|---|---|---|
Calculating the influence of facilities is an important part of urban computing, which adopts sensing technology to obtain people's movement patterns in urban spaces and then applies this information to discover many hidden issues our cities face today. Influence of facilities is affected by people's daily activities such as work and relax. In this paper, we compute the influence of facilities in real time and predict their future influence under a grid partition method. We Next predict influence changes of facilities over dynamic objects using trajectory based markov model. We conduct evaluation using a real world dataset, including one-month taxi trajectories with 27,000 taxis and 1000 facilities. Experimental results shows that our solution requires computation time close to 0.1 seconds and achieves an accuracy of 85 %. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-21837-3_52 | WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS |
Keywords | Field | DocType |
Urban computing, Facility influence, Human mobility | Data mining,Markov model,Computer science,Taxis,Urban computing,Trajectory,Grid,Computation,Partition method | Conference |
Volume | ISSN | Citations |
9204 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 4 | 5 |