STOPS Model Calibration for the Midvalley Connector Project
Our team worked with the Utah Transit Authority to develop a model using FTA’s Simplified Trips-on-Project Software (STOPS).
NCHRP Report 882: Meteorological Impacts on Highway Noise
Our team developed NCHRP Report 882, which explores the impact of weather on highway road noise and equips state DOTs with outreach tools.
Oregon Transportation Plan Update
Our team used VisionEval to help the Oregon Department of Transportation (ODOT) develop the Oregon Transportation Plan (OTP).
Travel Model Development
Our team worked with the Anchorage Metropolitan Area Transportation Solutions (AMATS) to refine their travel demand model over three phases.
Wheatsborough Solar Project Noise Assessment
Our team worked with Apex Clean Energy to conduct a noise assessment of the Wheatsborough Solar Project.
Cascadia Ultra-High-Speed Rail Feasibility Studies
Our team worked with the Washington State Legislature’s Joint Transportation Committee (JTC) to deliver detailed analysis and forecasting.
Sidewalk Upgrade Prioritization Tool
Our team worked with the City of Burlington to develop data on sidewalk characteristics to determine which are most in need of repair.
Triangle Travel Survey
Our team worked with the North Carolina State University Institute for Transportation Research & Education on their recurrent travel survey.
Travel Survey and Ridership Forecast
Our team worked with Hampton Roads Transit to help evaluate the feasibility of a high-capacity transit service.
Sound Level Modeling and Monitoring
Our team worked with the developers of Sugar Creek Wind Farm to conduct preconstruction and postconstruction turbine sound monitoring.
Seward Highway to Glenn Highway Connection Planning & Environmental Linkage Study
Our team worked with the Alaska Department of Transportation & Public Facilities to help them improve travel and connectivity in the region.
Mount Rainier National Park Regional Transportation Analysis Project
Our team worked with the National Park Service to evaluate the feasibility of using LBS data (“big data”) in park visitation studies.
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