We are pleased to announce that our project entitled Automated Measurement of Heavy Equipment Greenhouse Gas Emission: The Case of Road/Bridge Construction and Maintenance has been selected by the California State University Transportation Consortium (CSUTC) for funding. In this project, we build deep learning models to predict GHG emission of construction heavy equipment through activity cycle analysis using inertial sensors.