automated vehicle (AV) | National Center for Sustainable Transportation

Knowledge Discovery and Data Mining for Shared Autonomous Mobility Applications

Principal Investigator Chao Wang
University of California, Riverside

This research project is aimed to develop methods and applications for shared and autonomous mobility with machine learning and data mining knowledge and tools.

Project Status

Complete

Knowledge Discovery and Data Mining for Shared Mobility and Connected and Automated Vehicle Applications

Research Product Type

Dissertation / Thesis

This dissertation focuses on knowledge discovery and data mining for shared mobility and CAV applications.

Mobility, Energy, and Emissions Impacts of Shared, Autonomous, and Electric Vehicles (SAEVs) to Disadvantaged Communities in California

Principal Investigator Alan Jenn, Ph.D.
University of California, Davis

In this study, the researcher team proposes to conduct research on the impacts of SAEVs specifically on lower income and disadvantaged communities in California.

Project Status

In Progress

Near- (2020) and Long-Term (2030–2035) Costs of Automated, Electrified, and Shared Mobility in the United States

Research Product Type

Associated Publication

This paper examines the monetary costs of these innovations for users in the near-term and how they may evolve in the long-term.

Perception Learning, Prediction and Motion Planning for Energy Efficient Driving of Connected and Automated Vehicles

Research Product Type

Dissertation / Thesis

This dissertation developed predictive models and trajectory planning algorithms using machine learning and optimization techniques to address four key challenges of energy efficient driving of connected and automated vehicles.

Robust Design, Analysis and Evaluation of Variable Speed Limit Control in a Connected Environment with Uncertainties

Principal Investigator Petros Ioannou, Ph.D.
University of Southern California

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.

Project Status

Complete

Robust Design, Analysis and Evaluation of Variable Speed Limit Control in a Connected Environment with Uncertainties: Performance Evaluation and Environmental Benefits

Research Product Type

Research Report

This project focusses on variable speed limit (VSL) control as an approach to reduce congestion at bottlenecks despite the presence of uncertainties.

Shaping Automated Vehicle Behaviors in Mixed Autonomy Traffic to Benefit All Road Users and Reduce Greenhouse Gas Emissions

Principal Investigator Di Chen
University of California, Davis

The goal of this research is to understand vehicle interactions in mixed traffic and leverage the understanding to shape AV behaviors, simultaneously benefiting all road users (i.e., ensuring equity) and achieving emission reduction, even with a limited proportion of AVs.

Project Status

In Progress

The 3 Revolutions in Transportation: Sharing, Electrification and Automation

The UC Institute of Transportation Studies presented a timely forum on the latest analysis and science related to the convergence of the three transportation revolutions and what it means for mobility, sustainable communities, the economy, and environment.

Apr 25, 2017 @ 12:30pm - 1:30pm
UC Center, 1130 K St LL22, Sacramento, CA 95814
Event Details

The Future of Connected and Self-Driving Cars: Assessing the Trade-offs Between Safety, Mobility, and Environmental Innovation

Researcher Matt Barth describes a holistic assessment and examines the co-benefits and trade-offs between safety, mobility and the environment for a variety of CAV applications.