infrastructure | National Center for Sustainable Transportation

A Stochastic Multi-agent Optimization Model for Energy Infrastructure Planning under Uncertainty in An Oligopolistic Market

Research Product Type

Associated Publication

This paper presents a mathematical model for analyzing long-term infrastructure investment decisions in a deregulated electricity market, such as the case in the United States.

Alkali-Activated Materials are Promising Alternatives for Reducing Roadway Emissions

Research Product Type

Policy Brief

This policy brief summarizes findings and provides policy implications from research that analyzed life cycle assessment literature to understand whether alkali-activated materials can achieve the same mechanical performance as Portland cement with lower CO2 emissions.

Alkali-activated Materials: Environmental Preliminary Assessment for U.S. Roadway Applications

Research Product Type

Research Report

To increase the adoption of Alkali activated materials concrete for civil applications such as pavements, it is fundamental to analyze the existing literature to clarify the link between environmental and mechanical performance, identifying opportunities for applications that are tailored to the local availability of raw material, reducing transport environmental costs.

An Assessment of Pedestrian Infrastructure Quality and the Effect on Travel Time and Mobility for Users with Physical Limitations

Principal Investigator Chelsea Dyess
Georgia Institute of Technology

This project measures sidewalk, curb ramp, and curb cut quality data to evaluate pedestrian infrastructure quality. The project considers accessible, active travel for people with physical disabilities.

Project Status

Complete

An assessment of pedestrian infrastructure quality and the effect on travel time and mobility for users with physical limitations

Research Product Type

Dissertation / Thesis

The purpose of this thesis is to analyze the potential effect that pedestrian infrastructure ADA compliance issues may have on persons with disabilities or physical limitations.

Analysis and Geospatial Modeling of Electric Vehicles Supply Equipment (EVSE) in California

Principal Investigator Xinwei Li, Ph.D.
University of California, Davis

This project will look at the geospatial modeling of electric vehicles supply equipment (EVSE). This project aims to develop a set of up-to-date geospatial models for future fuel infrastructure transition in California.

Project Status

Complete

Applying Topological Data Analysis to Logistics Systems Analysis

Principal Investigator John Carlsson
University of Southern California

The purpose of this project is to apply computational tools from topological data analysis (TDA) to study the logistics systems in the state of California and the USA, with an emphasis on freight networks.

Project Status

In Progress

Applying Vulnerability Assessments and Triple Bottom Line Considerations to Rail Infrastructure Management: Toward an Integrated Framework for Rail Resilience and Sustainability

Principal Investigator Adair Garrett
Georgia Institute of Technology

This research will apply climate vulnerability assessments and the TBL approach to sustainability to rail infrastructure planning and resource allocation decision making. The results will be validated by rail operators and administrators to support improved investments in rail that are resilient to extreme events, protect the natural environment, enhance economic competitiveness, and improve societal quality of life, equitably.

Project Status

In Progress

Assessing the Charging Needs of Multi-EV Households in California

Principal Investigator Gil Tal, Ph.D.
University of California, Davis

This project will determine the market penetration and charging infrastructure needs of multi-EV households by region and community in California from 2022 to 2040, with a particular focus on how access to charging will affect the rate at which households acquire additional EVs and on the difficulties of expanding EV ownership in Disadvantaged Communities in California.

Project Status

In Progress

Autonomous and Coordinated Energy Management Systems: Implementing On-Line Prediction, Electric Vehicle Time Series Analysis to Microgrid Control

Research Product Type

Dissertation / Thesis

This dissertation introduces a novel online prediction algorithm to forecast solar generation and EV charging power and two real-world microgrid applications equipped with solar generation and battery energy storage systems.