The Energy Department‘s Vehicle Technologies Office has earmarked $2.5 million in fiscal 2018 funds for two new programs that seek to address transportation energy management challenges with big data and high-performance computing platforms.
DOE said Tuesday the Big Data Solutions for Mobility initiative looks to create big data tools and algorithms to model urban transportation networks, as well as data science and HPC-based methods to analyze transportation systems.
Four national laboratories will collaborate with industry and academic organizations on the effort.
The HPC4Mobility initiative aims to encourage companies, transportation system operators and cities to identify energy efficiency measures for mobility systems.
Qualifying participants under that program will have access to machine learning platforms, supercomputing facilities and data science expertise at national laboratories.
DOE VTO has provided $500,000 in total seed funds for separate projects led by the Lawrence Berkeley National Laboratory and the Oak Ridge National Laboratory.
LBNL partnered with the Los Angeles County Metropolitan Transportation Authority to develop an HPC-supported method to compute demand models and forecast the energy impacts of emerging mobility technology.
ORNL teamed up with GRIDSMART Technologies to create reinforcement learning-based approaches to manage traffic efficiency and energy use.