Transportation Engineering at RPI has one lab: Rensselaer Traffic Lab and one center: The CCNI Supercomputer Center
Rensselaer Traffic Lab has a complete suite of traffic data collection devices such as traffic counters, iCone detectors for traffic speeds, GPS loggers and Nokia N-95 GPS mobile phones for collecting mobile sensor data, and high-resolution video cameras. The traffic lab is also equipped with transportation software packages such as TransCAD, Paramics, VISSIM, Synchro, HCM, NLogit, Stata, ArcGIS, among others. Moreover, RPI is currently collaborating with NYSDOT and industry partners to upgrade the signal systems on Wolf Road, Albany, NY to adaptive control. As part of the project, the 9 intersections along the corridor are fully instrumented with wireless sensors together with an arterial travel time system. All of the corridor’s detector data (nearly 200) and travel times (covering 5 segments of the corridor) are currently collected and archived at the Rensselaer Traffic lab and will be used for TransInfo’s research activities.
The CCNI Supercomputer Center uses IBM Blue Gene parallel computers with a speed of 200 TFLOPS, which makes it one of the world’s most powerful university-based supercomputers. The team plans to use the CCNI computing facility for processing and analyzing large-scale transportation datasets collected for TransInfo research activities (such as vehicles’ GPS traces), as well as for very large simulations of complex transportation networks and performance measures.