Yorie Nakahira SMC

Smart Mobility Connection featuring Yorie Nakahira

April 21 st, 2023

April 21, 2023

Today’s Smart Mobility Connection session featured Mobility21 UTC researcher Yorie Nakahira.  She discussed her UTC work, “Safety of Intelligent Systems Operating in Uncertain and Interactive Environments.”  Watch the recording here.

Smart Mobility Connection featuring Justin Starr

Smart Mobility Connection Featuring Justin Starr

March 24 th, 2023

March 24, 2023

Today’s Smart Mobility Connection session featured Mobility21 UTC researcher Justin Starr.  He discussed his UTC work, “Technician Interactions with Artificial Intelligence Systems.”  Watch the recording here.

Rahul Mangharam SMC

Smart Mobility Connection featuring Rahul Mangharam

February 10 th, 2023

February 10, 2023

Today’s Smart Mobility Connection session featured Mobility21 UTC researcher Rahul Mangharam.  He discussed his new University of Pennsylvania course, “Tiny Machine Learning.”  Watch the recording here.

Umit Ozguner Screenshot

Smart Mobility Connection Featuring Ümit Özgüner

December 2 nd, 2022

December 2, 2022

Today’s Smart Mobility Connection session featured The Ohio State University Mobility21 UTC researcher Ümit Özgüner.  He discussed his project, “Vulnerable Road Users Dominating the Shared Spaces with Vehicles.”  Watch the recording here.

Nik Martelaro

Professor Nik Martelaro Presents “What Could Go Wrong?” Alongside the Block Center for Student Game Night

September 27 th, 2022

September 27, 2022

Mobility21 UTC researcher Nik Martelaro worked with the CMU Block Center for student game night to present “What Could Go Wrong?,” a game that encourages teams of students to identify and discuss novel situations where real-world application of AI or robotics could lead to unique policy or moral questions.

SMC Megan Ryerson

Smart Mobility Connection Featuring Megan Ryerson and Jasmine Siyu Wu

September 9 th, 2022

September 9, 2022

Today’s Smart Mobility Connection session featured Mobility21 UTC Researcher Dr. Megan Ryerson and University of Pennsylvania’s Center for Safe Mobility data analyst Jasmine Siyu Wu .   They discussed their project, “Identifying Community-Level Disparities in Access to Drivers Education and Training: Toward a Definition of Driver Training Deserts”  Watch their presentation here.

The Future of Artificial Intelligence and the Workforce

May 12 th, 2022

May 12, 2022

Carnegie Mellon University and CCAC hosted a panel discussion, “The Future of Artificial Intelligence and the Workforce,” which included speakers:  Mobility21 UTC partner and CCAC professor Dr. Justin Starr, Joel Reed of the Pittsburgh Robotics Network, Michael Sebetich of Argo AI, and Mark Kamlet of Carnegie Mellon University.

The panel dispelled common misconceptions of AI and shared how to work symbiotically with AI.


Rail-Volution Hosts Webinar “Communicating to a Changing Rider Base”

March 23 rd, 2022

March 23, 2022

Mobility21 UTC researcher Megan Ryerson from the University of Pennsylvania joined an expert panel in the field of transportation for a Rail-Volution webinar, “Communicating to a Changing Rider Base.”  The webinar addressed changing ridership patterns and priorities for transit service delivery.

SMC Mark McCord

Smart Mobility Connection Featuring Mark McCord

February 11 th, 2022

February 11, 2022

Today’s Smart Mobility Connection session featured Mobility21 UTC Researcher Mark McCord.   He discussed his project, co-authored with Rabi Mishalani, Benjamin Coifman, Harsh Shah, and Shahrzad Charmchi Toosi of The Ohio State University, “Monitoring Roadway Vehicle Miles Traveled using Video Imagery from Transit Buses in Operational Use.”  Watch his presentation here.

TESC 2021 Logo

Mobility21 Presents at Transportation Engineering & Safety Conference

December 9 th, 2021

December 9, 2021

Mobility21 presented the Transportation Engineering and Safety Conference session “Welcome to the Smart Cities – Managing AI in Transportation.”  This conference session provided a preview of several topics included in the executive education session, including an overview of technology and AI impacts in transportation today, AI and predictive analytics and how to make a better decision with transportation data, and equitably applying AI for safe and efficient transportation.  Lisa Kay Schweyer, Program Manager for Mobility21 moderated the session.  The other CMU speakers included UTC researchers:  Sean Qian on AI and Predictive Analytics:  How to Make Better Decisions with Transportation Data, Allanté Whitmore on Equitably Applying AI for Safe and Efficient Transportation, and Stan Caldwell on the Technology and AI Impacts in Transportation Today.

Sarah Fox Presentation

Smart Mobility Connection Featuring Sarah Fox

December 3 rd, 2021

December 3, 2021

Today’s Smart Mobility Connection session featured Mobility21 UTC Researcher Sarah Fox.   She discussed her project, “Centering Operators’ Perspectives in Designing the Future of Transit Work.” Watch her presentation here.

Traffic21 Logo and data stream image

Dates Announced for 2022 Executive Education Program “Managing AI in Transportation”

November 16 th, 2021

Carnegie Mellon University’s Traffic21 and the Heinz College of Information Systems and Public Policy announce the dates for the 2022 executive education program, “Managing AI in Transportation.”  The virtual session will be held May 2 – 6, 2022.

The program was developed by the experts at Heinz College’s Traffic21 Institute to explore critical areas that are required for breaking down public and private organizational barriers and understanding how managing AI can benefit key stakeholders throughout the transportation industry.

“Since Traffic21’s founding more than 10 years ago, we have seen firsthand the various ways AI is impacting and improving transportation,” said Stan Caldwell, Executive Director of Traffic21.  “From asset management to automated vehicles, the use of AI is transforming transportation sector, and we are pleased to have the opportunity to share what we have learned with both public and private sector managers to leverage the power of this technology and mitigate its risk.”

Participants in the program will explore the impact of disruptive technology on transportation; AI in traffic control devices; AI in connected and autonomous vehicles; the role of AI in predictive analytics; AI in transportation asset management; the equitable application of AI for safe and efficient transportation; and how to develop and implement an enterprise AI strategy.

The first program cohort competed the course in May 2021.   One participant reflected, “As a company, we’re always looking for ways to use new technologies to make our business better.  Better understanding what AI can and can’t do, what it needs to succeed, and ways of thinking about problems using an AI ‘lens’ will all be long term beneficial.”

Learn more about the session and sign up here.



The Heinz College of Information Systems and Public Policy is home to two internationally recognized gradu­ate-level institutions at CMU: The School of Information Systems and Management and the School of Public Pol­icy and Management. This unique colocation combined with its expertise in analytics set Heinz College apart in the areas of cybersecurity, healthcare, the future of work, smart cities, and arts & entertainment.


Traffic21 is a multi-disciplinary research institute of Carnegie Mellon University. Its goal is to design, test, deploy, and evaluate information and communications technology-based solutions to address the problems facing the transportation system of the Pittsburgh region and the nation. Housed within the institute is the US DOT funded, Mobility21 National University Transportation Center.

The Pittsburgh region serves as a “learning lab,” deploying solutions that can be applied around the nation and the globe. Traffic21 leverages Carnegie Mellon’s leadership in relevant areas such as intelligent transportation systems, smart infrastructure, cyber security, human factors, artificial intelligence, data analytics, and connected and automated vehicles.

1 2 3 6