| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 489380 | Procedia Computer Science | 2015 | 8 Pages |
Abstract
The data-driven probabilistic model of MRT-based population mobility is developed for St. Petersburg, Russia. This model is based on impersonal data which contains only the inflows and outflows of the passengers in the MRT stations; the personal tracks of the passengers are unavailable. The model explains the spatiotemporal variability of MRT traffic using common factors which may be associated with non-local social and environmental phenomena.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
