The purpose of this project is to integrate solutions for eco-routing and practical constraints, and develop a more practical model for eco-routing in the trucking industry.
This project will develop a framework that will, in real-time, match drivers to passengers and route rideshare drivers that incorporates traffic data to provide improved solutions. The resulting solution framework will use commercial traffic simulation software to achieve this goal.
The objective of this project is to demonstrate an aftermarket “retrofit kit” for small (10-30kW) diesel generators, capable of capturing particulate matter (PM) emissions (i.e., soot) to levels be
This project proposes using intelligent transportation system (ITS) technologies that take into account the presence of trucks in the traffic flow. The researchers anticipate that this will improve impact on the environment by reducing fuel consumption and pollution levels in areas where the truck volume is relatively high.
To meet sales requirements of zero-emission transit buses, medium-duty (MD) trucks, and heavy-duty (HD) trucks in California, improvements in battery performance and costs are necessary. This project will support this transition through analysis of battery capabilities, charging infrastructure availability, and vehicle routing strategies.
The purpose of this project is to address the issue of robustness in the design of variable speed limit and bring them closer to successful implementation with consistent and well-understood benefits.
In this study, the researchers will use optimization and simulation modeling to explore the impacts of using battery electric heavy-duty trucks (BEHDTs) in freight operations (e.g., fleet size) and emissions, taking into account differences in performance and refueling.
This research project will implement a before/after, experimental-control group study of slow street infrastructure to examine the role that supportive non-motorized infrastructure can play in non-motorized travel.
Building on their previous research on environmental life cycle assessment (LCA) for heavy-duty trucks, the researchers will conduct a social LCA analysis to assess the social impacts of battery-electric and fuel cell trucks.
