Developing decision support systems for traffic forecasting and infrastructure investment studies
Transportation Planning and Decision Science develops and applies spatial decision support systems for traffic forecasting and infrastructure investment studies. By combining statistical modeling and optimization methods, major modes of transportation can be improved. Research includes the estimation of trip purpose and land use-specific to passenger and freight trip frequencies, origin-to-destination trip volumes, facility specific travel costs, and their associated levels of traffic congestion.
ORNL has extensive expertise in developing and applying spatial decision support systems to such traffic forecasting and associated infrastructure investment studies. This expertise spans and often combines statistical and econometric modeling with micro-simulation and optimization methods, and has been applied across all of the major modes of transportation (highway, rail, water, air, pipeline, intermodal), and at the local and large regional as well as fully national scale. This includes traditional transportation planning studies as well more specialized uses of similar methods and models, notably in regional evacuation studies, hazardous materials routing studies, and in critical link analysis studies in support of threat mitigation and other network security objectives.