Transportation Planning and Decision Science

Transportation Planning and Decision Science

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 passenger and freight trip frequencies, origin-to-destination trip volumes, facility specific travel costs, and their associated levels of traffic congestion.

Transportation planning and decision science

Publications

A method for determining the optimal delivered hydrogen pressure for fuel cell electric vehicles

Fuel cell electric vehicles (FCEVs) are considered an important part of a portfolio of options to address challenges in the transportation sector, including energy security and pollution reduction....

Market-driven automotive industry compliance with fuel economy and greenhouse gas standards: Analysis based on consumer choice

This study explored factors that affect market-driven compliance with both Corporate Average Fuel Economy (CAFE) and greenhouse gas (GHG) standards (together called the National Program) in the...

Analyzing the impacts of a biogas-to-electricity purchase incentive on electric vehicle deployment with the MA3T vehicle choice model

In 2014, the EPA approved a biogas-to-electricity pathway under the Renewable Fuel Standard (RFS). However, no specific applications for this pathway have been approved to date (EPA, 2017). This...

Capabilities & Research Areas

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.