This project aims to review the current literature on practices, reports, and manuals to outline existing safety technologies and analyze the effectiveness of the proposed procedure and strategies implemented in work zones by states.
The Caltrans Sustainable Freight Academy is a four-day in-person training for professional development for Caltrans staff to be held in the fall of 2024 in California’s Central Valley. It is designed to build capacity within department staff, allowing them to gain knowledge of current trends and issues affecting the movement of freight throughout the state.
The goal of this project is to design and evaluate a Dynamic Mobility Management System (DyMMS) to address traffic congestion, which leads to more fuel consumption, significant greenhouse gas (GHG) emissions, and poor air quality.
This research is focused on the optimization of transportation system management by developing statistical models involving dynamic network modeling, spatiotemporal analysis, and theories of AI.
This project will develop guidance for evaluating sociodemographic disparities from the impacts of State Highway System expansion projects and associated vehicle miles traveled (VMT) mitigation strategies.
This research will update to the spreadsheet version of the Fuel and Emissions Calculator (FEC) to Version 4.0. The update will incorporate the emission and energy use rates from the latest version of the EPA's MOVES 4.0 regulatory model for conventional and electric vehicles, utilizing the latest matrices from MOVES-Matrix 4.0 (also developed by the research team) and associated source type technology parameters.
This project will produce a Talent Pipeline Blueprint report that identifies the necessary steps required to build cross-campus CSU talent pipelines that target the most in-demand trade and transportation occupations requiring specific degrees, certificates, and non-credit professional development.
The project will help centralize and assess evacuation routes, and assess their capacity
for evacuation. It will help inform infrastructure investment priority decisions, as it will identify the
road segments with the largest impact on the evacuation route/network performance.
This research will improve fundamental knowledge on transportation data analytics as well as the effective management of data and information infrastructure in transportation practice.
