modeling

This project established models to optimize the balance of freight demand across rail and truck modes.

Motivated by the challenges encountered in the previous modeling efforts, this work develops an advanced modeling framework for region-wide applications of line source dispersion models that integrates a high-performance emission rate lookup system (i.e., MOVES-Matrix), link screening, and innovative receptor site selection routines to further accelerate model implementation within distributed computing modeling framework.

This study follows a deterministic modeling approach to project two scenarios of FCEV adoption and the resulting hydrogen demand (low and high) up to 2050 in California, using a transportation transition model. The study then estimates the number of hydrogen production and refueling facilities required to meet demand.

This report studies the effects and efficiency of two fuel mandates, a renewable share mandate and a carbon intensity standard, as well as the effects of two cost containment provisions.

This dissertation presents a methodology that incorporates uncertainty element to the existing integrated modeling framework specifically designed for advanced biofuel production systems using dedicated energy crops as feedstock resources. The goal of the framework is to support the bioenergy industry for infrastructure and supply chain development.

Researchers developed traffic simulation models that allowed them to evaluate the impact of new traffic flow control systems, vehicle routing, and other technologies on the efficiency of the transportation system.