The researchers created a model to solve the "Empty Container Problem" of freight operations. They tested the model using data from the Port of Los Angeles and the Port of Long Beach.
The purpose of this research is to develop real-time algorithms to reduce traffic congestion and improve routing efficiency via offering personalized incentives to drivers.
This project will investigate how connectivity provided by vehicle to infrastructure (V2I) and vehicle to vehicle (V2V) technologies can be used to develop traffic flow control systems that will enhance mobility and safety, and reduce queues at ramps with positive benefits to transportation efficiency and environment.
The objective of this project is to build-on past research to explicitly model and evaluate the integrated system of last-mile strategies utilized to keep pace with the growing demands of e-commerce.
Principal InvestigatorDebapriya Chakraborty, Ph.D.
University of California, Davis
This project will study the factors influencing the total cost of ownership and operation of Plug-In Electric Vehicles and how policies like CAFE and fuel/electricity price trends impact the comparative costs of internal combustion engines and plug-in electric vehicles.
Using stated preference choice experiments, this study tries to fill the two gaps in the literature mentioned here: identify the drivers of choice of charging location during non-routine charging events and quantitative estimates of consumer preference for pricing strategies and other charging infrastructure attributes in case of routine nonhome charging events.
This project will help both transportation and environmental agencies at all levels, and car manufacturers, to understand the design, operation, and impacts of optimal eco-driving strategies. The project will provide urgent science and test-based input to inform policy and practice development.
The electrification of privately owned vehicles is a necessary step to eliminating transportation greenhouse gas emissions. The adoption of electric vehicles so far has been heavily focused among high-income commuters who live in major metropolitan areas.
