Autonomous-Vehicles

Traffic Smoothing Using Explicit Local Controllers: Experimental Evidence for Dissipating Stop-and-go Waves with a Single Automated Vehicle in Dense Traffic

Traffic Control via Connected and Automated Vehicles (CAVs): An Open-Road Field Experiment with 100 CAVs

Design, Preparation, and Execution of the 100-AV Field Test for the CIRCLES Consortium: Methodology and Implementation of the Largest Mobile Traffic Control Experiment to Date

A Safety-Driven Interpretable Model for Vehicle Control With Impact on Traffic

CPS: Offline Reinforcement Learning for Cyber-Physical Systems

This Cyber-Physical Systems (CPS) project will accelerate the design of controllers for large-scale engineering systems, focusing on the application of artificial intelligence in …

PFI-TT: Local Sensing on Automated Vehicles

This Partnerships for Innovation - Technology Translation (PFI-TT) project creates new technologies for automated vehicles that can improve traffic for everyone. The majority of …

Interpretable Finite State Machine Controller: A Case Study on Lane Merge Yield Mode

CPS: Frontier: Computation-Aware Algorithmic Design for Cyber-Physical Systems

This project explores a new vision of cyber-physical systems (CPSs) in which computing power and control methods are jointly considered. The approach is carried out through …

Semantic Tagging of CAN and Dash Camera Data from Naturalistic Drives

Kate Sanborn

• Jan 1, 2022 • 1 min read

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Medium-scale to large-scale implementation of cyber-physical human experiments in live traffic

Autonomous Vehicles (AVs) such as cars and trucks are being developed and tested as Cyber-Physical Human systems while the technology improves. Before these systems can achieve …