Name
Abstract | ||
|---|---|---|
City-scale mass gatherings attract hundreds of thousands of pedestrians. These pedestrians need to be monitored constantly to detect critical crowd situations at an early stage and to mitigate the risk that situations evolve towards dangerous incidents. Hereby, the crowd density is an important characteristic to assess the criticality of crowd situations. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1140/epjds17 | EPJ Data Sci. |
Keywords | Field | DocType |
crowd sensing, pedestrian behavior, crowd density estimation, participatory sensing, smartphone | Data science,Computer security,Computer science,Crowd density,Participatory sensing | Journal |
Volume | Issue | ISSN |
2 | 1 | 2193-1127 |
Citations | PageRank | References |
23 | 1.17 | 26 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Wirz | 1 | 233 | 13.96 |
| Tobias Franke | 2 | 114 | 8.02 |
| Daniel Roggen | 3 | 1851 | 137.05 |
| Eve Mitleton-Kelly | 4 | 52 | 4.05 |
| Paul Lukowicz | 5 | 3287 | 376.79 |
| Gerhard Troster | 6 | 687 | 68.96 |