SmartBay project implements a typical working day mobility scenario within the nine counties of San Francisco Bay Area.
As of 2015, the total population of the area is 7.5M people, with an estimated 3.4M commuters, out of which 350K are using public transport as their only commute mode. The road network used in the scenario consists of a total of 96000 links, with a mix of freeways, state routes, all major arterial and countryside roads. The network was extended with all major public transit lines available through General Transit Feed Specification (GTFS) provided by the respective agencies. The major rapid rail carrier is a Bay Area Rapid Transit system that serves 400K daily trips over 4 inter-connected lines.
SmartBay scenarios use the anonymized cell phone data logs to adjust the mobility demand models. The cell phone data are stored and processed internally at secure servers managed by AT&T Research.
- Pozdnoukhov, A., Campbell, A., Feygin, S., Yin, M., and Mohanty, S., The SmartBay Project: Connected Mobility in the San Francisco Bay Area. In The Multi-Agent Transport Simulation: MATSim, edited by Horni, A., Nagel, K., and Axhausen, K. (2015) In press.
Connected Corridors: The MegaCell
Route flow inference enables casting optimal controls at the scale of the large transportation corridors, in a coordinated fashion.
- Wu C., Yadlowsky S., Thai J., Pozdnoukhov A., Bayen A., Cellpath: fusion of cellular and traffic sensor data for route flow estimation via convex optimization. Int Symp on Transportation and Traffic Theory (ISTTT) and Transportation Research: Part B, 2015, to appear.
- Yadlowsky S., Thai J., Wu C., Pozdnoukhov A., Bayen A., Link Density Inference from Cellular Infrastructure. Transportation Research Board (TRB) 94th Anuual Annual Meeting, Transportation Research Record (TRR), 2015.