Data from the Development Evolution of a Vehicle for Custom Control
CPS: Coordinating Actors via Learning for Lagrangian Systems (CALLS)
This project improves the ability to build artificial intelligence algorithms for Cyber-Physical Systems (CPS) that incorporate communications technologies by developing methods of …
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CIRCLES: Congestion Impacts Reduction via CAV-in-the-loop Lagrangian Energy Smoothing
The CIRCLES project aims to reduce fuel consumption for all vehicles in the traffic stream via intelligent control of a small number of connected and automated vehicles. Unlike …
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Real-time distance estimation and filtering of vehicle headways for smoothing of traffic waves
In this paper we describe an experience report and field deployment of real-time filtering algorithms used with a robotic vehicle to smooth emergent traffic waves. When smoothing …
Quantifying air quality benefits resulting from few autonomous vehicles stabilizing traffic
It is anticipated that in the near future, the penetration rate of vehicles with some autonomous capabilities (e.g., adaptive cruise control, lane following, full automation, etc.) …
Raphael E. Stern
Autonomous vehicles: From vehicular control to traffic control
Maria Laura Delle Monache
Research featured at DC Auto Show
The NSF-funded Cyber-Physical Systems research project on Control of Vehicular Traffic Flow via Low Density Autonomous Vehicles, was exhibited at the 2018 Washington, DC Auto …
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Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
Traffic waves are phenomena that emerge when the vehicular density exceeds a critical threshold. Considering the presence of increasingly automated vehicles in the traffic stream, …
Raphael E. Stern
Results from experiment on traffic flow
In July 2016, the lab took part in a groundbreaking experiment in which we showed that self-driving cars can benefit the drivers of cars around them, by controlling their velocity …
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