All Research Products

The National Center for Sustainable Transportation's primary output from research is reports and white papers. Each project is also required to produce a Project Brief to summarize and highlight the policy and/or research findings and implications. NCST research also produces journal articles, conference papers, books, dissertations, theses, presentations, and posters. The NCST has also created various tools that can be used by policymakers and practitioners, such as models, calculators, and planning tools.

Electric Fleet Adoption Strategies – Addressing Storage and Infrastructure Needs

Research Product Type
Research Report
This project evaluated the mid to long-term energy storage needs of the electric grid for select fleet electrification scenarios. The results show that Electrical Energy Storage (EES) capacity requirements depend on a number of parameters, including Demand Response (DR), Electric Vehicle (EV) charging flexibility, and total EV population.

Experiencing Pilot Demonstrations Helps Individual Acceptance of Self-Driving Shuttles

Research Product Type
Policy Brief
Researchers at the University of California, Davis surveyed residents and employees of the West Village area of the UC Davis campus during the three-month pilot deployment of a self-driving, electric shuttle to understand attitudes toward self-driving technology. This policy brief summarizes findings from that research and provides policy implications of self-driving shuttles.

Congestion Reduction Through Efficient Empty Container Movement Under Stochastic Demand

Research Product Type
Research Report
n this work, the authors developed a scheduling assignment for loaded and empty containers that builds on earlier models but incorporates stochastic (random) future demand. This report shows that the truck miles needed to satisfy the demand at all locations is reduced by about 4-7% when considering future stochastic demand as opposed to only considering today’s demand.

Improving Transportation Information Resilience: Error Estimation for Networked Sensor Data

Research Product Type
Research Report
This project focuses on the problem of error detection and data recovery of partially malfunctioning sensors that could provide valuable information. The results of three network examples with different scales demonstrate the applicability of the proposed method in a large variety of scenarios. This research improves fundamental knowledge on transportation data analytics as well as the effective management of data and information infrastructure in transportation practice.

Induced Vehicle Travel in the Environmental Review Process

Research Product Type
Associated Publication
Associated publication in Transportation Research Record: Journal of the Transportation Research Board utilizing the Induced Travel Calculator to estimate the induced vehicle travel impacts of roadway capacity expansion projects in California.