December 11th and 12th, 2021

Control for Autonomous Cities

at the 60th IEEE Conference on Decision and Control (Austin, Texas)

A two-day online workshop on the future of transportation and energy systems

Future cities promise to be wonders of seamless cyber-human interaction where the physical world blends with the digital realms. Transportation and energy distribution systems play a pivotal role in this context ensuring the development of green and reliable cities, as well as enhancing productivity and economic growth. The emergence of climate change and sustainability issues as some of the biggest challenges of our times motivated an unprecedented transformation in the way we design and operate both transportation and energy distribution systems. For energy distribution systems, a solution to carbon emission is offered by the possibility to incorporate a larger fraction of renewable sources. For transportation systems, novel mobility paradigms including autonomous mobility and on-demand services have been proposed to realize sustainable transportation in urban areas.
The successful adoption of these technologies hinges on our ability of incorporating them safely, robustly and seamlessly with the current infrastructure. While the advent of big-data, machine learning, sharing economies, and ubiquitous internet access has provided us with remarkable opportunities to tackle these challenges, there is a need for the development of new mathematical modeling, control theory, and automation allowing us to harvest these resources for the development of safe and reliable autonomous cities.

This workshop will serve as a platform for researchers to present important recent progress and discuss future challenges in data driven control techniques applied to energy and traffic systems. The targeted audience are students and researchers that are interested in interdisciplinary studies at the interface of control theory, operations research and computer science with application to traffic and energy systems.

Energy Systems

Transportation Systems


Eilyan Bitar

Cornell University

Christos Cassandras

Boston University

Giacomo Como

Politecnico di Torino

Florian Dörfler

ETH Zurich

Kara Kockelman

University of Texas at Austin

Na Li

Harvard University

Scott Moura

UC Berkley

Dario Paccagnan

Imperial College London

Francesca Parise

Cornell University

Marco Pavone

Stanford University

Pierre Pinson


Adam Wierman



Giacomo Como, Florian Dörfler, Dario Paccagnan, Francesca Parise, Marco Pavone, Adam Wierman