Technology Transfer at STRIDEPractitioners Learn to Use Simulation Tools to Evaluate Toll Lanes on HighwaysSTRIDE Hosts Webinar on Improved Timeliness and Accessibility to Crash Data and Tools for Safety
Practitioners Learn to Use Simulation Tools to Evaluate Toll Lanes on Highways
(Right: Dimitra Michalaka, Ph.D., provided the training on CORSIM during the well-attended webinar/workshop)
A webinar and workshop on using CORSIM to evaluate the impact of various pricing strategies and the management of toll lanes was held at the UF campus on April 29-30, 2013. A total of 42 people participated from consulting firms and state agencies in Florida, Georgia, Virginia, and Washington. The course was taught by Dimitra Michalaka, Ph.D., a former transportation student at UF. CORSIM, a microscopic traffic simulation software program maintained at UF, was recently enhanced to simulate the operations of high occupancy/toll lanes, thanks to a grant by the Center for Multimodal Solutions for Congestion Mitigation (CMS), a USDOT, grant-funded, Tier-1 University Transportation Center. Yafeng Yin, Ph.D., an associate professor at UF, is the principal investigator of the grant. The final report for this project can be found here. This webinar/workshop was part of a series of technology transfer events that seek to disseminate the research findings of projects funded by grants from the CMS.
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STRIDE Hosts Webinar on Improved Timeliness and Accessibility to Crash Data and Tools for Safety
On November 29, 2012, STRIDE hosted a webinar presented by Ilir Bejleri, Ph.D., an associate professor in the Department of Urban and Regional Planning at UF. A total of 91 people logged on from the private and public sectors around the U.S. and from as far away as Denmark. The webinar entitled Improved Timeliness and Accessibility to Crash Data and Tools for Safety covered techniques for GIS mapping and visualization of traffic crashes using address geocoding and network association. Spatial analysis methods were also covered and included density mapping, spatial coincidence, spatial clustering, and hot spot identification.
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