Argonne National Laboratory

Computationally Enhanced Mobility

Argonne’s new integrated transportation modeling ecosystem provides the unprecedented ability to explore the widespread real-world impact of intelligent transportation systems on mobility, energy and the environment.

Argonne’s new integrated transportation modeling ecosystem provides the unprecedented ability to explore the widespread real-world impact of intelligent transportation systems on mobility, energy and the environment.

The U.S. Department of Energy’s (DOE) goals call for increasing the efficiency and productivity of energy use, while limiting the environmental impacts. In support of these goals, Argonne’s transportation research efforts bring together scientists and engineers from many disciplines to find cost-effective solutions to the problems of foreign oil dependency and greenhouse gas emissions.

As one of DOE’s lead laboratories for research in hybrid and electric powertrains, batteries and fuel efficient technologies, Argonne’s transportation program is critical to advancing the development of next-generation vehicles. Argonne's overall goal is to work with DOE, other federal agencies, and industrial partners to put new transportation technologies on the road that improve the way we live and contribute to a better, cleaner future for all.

Argonne's research focuses on reducing carbon energy use in transportation to address environmental issues and global security concerns. Greenhouse gas regulations for light-, medium- and heavy-duty vehicles are requiring a pace of invention, efficiency gains and technology adoption that is unprecedented. Speed-to-market for advanced technologies is required and model-based engineering development tools are among the enablers. Moreover, vehicles that are able to communicate with each other and with the infrastructure reduce congestion, improve safety and aid energy efficiency. Technology development and computational ability allows vehicle automation and infrastructure connectedness. Argonne is also playing a critical role in research supporting the emergence of connected and autonomous vehicles (CAVs) as a mobility paradigm shift.