Autonomous Vehicles Expected to Transform Morning Commutes

Study examines how self-driving cars could impact parking, traffic, and urban planning in business districts.

Mar. 25, 2026 at 4:18am

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Researchers have investigated how autonomous vehicles (AVs) may change travel patterns during morning commutes and affect parking in business districts. The study found that if all commuters use AVs, they may choose to park outside the central business district, increasing vehicle hours and miles traveled compared to human-driven vehicles. This could lead to changes in how land is used in business districts, such as repurposing parking spots for commercial and residential areas. To reduce total system costs, urban planners may need to adjust parking fees, impose congestion tolls, or convert parking spaces to AV drop-off spots.

Why it matters

As autonomous vehicles become more widespread, understanding their potential impact on commuting patterns and urban infrastructure is crucial for city planners to prepare for the future. This study provides insights that can help guide policy decisions and infrastructure changes to accommodate the rise of self-driving cars.

The details

The study, conducted by researchers at Carnegie Mellon University and the University of Texas at Dallas, developed a game-theoretic traffic model to examine the effect of AVs on morning commutes to a central business district, using Pittsburgh as a case study. The model considered factors like parking fees, traffic congestion, and curbside pickup/drop-off to characterize commuters' departure times and parking locations.

  • The study was published in March 2026.

The players

Soo-Haeng Cho

IBM Professor of Operations Management and Strategy at Carnegie Mellon's Tepper School of Business and co-author of the study.

Neda Mirzaeian

Assistant Professor of Operations Management at the University of Texas at Dallas's Jindal School of Management and lead author of the study.

Sean Qian

H. J. Heinz III Professor of Civil and Environmental Engineering at Carnegie Mellon's College of Engineering and Heinz College, and co-author of the study.

Carnegie Mellon University

The university where some of the researchers who conducted the study are based.

University of Texas at Dallas

The university where some of the researchers who conducted the study are based.

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What they’re saying

“Urban planners have a rare window of opportunity to establish policies that pave the way for the inevitable mass arrival of AVs.”

— Soo-Haeng Cho, IBM Professor of Operations Management and Strategy at Carnegie Mellon's Tepper School of Business

“In our study, we sought not to propose city-specific solutions, but to highlight general tradeoffs and dynamics in human behavior that emerge when AVs, commuters, and infrastructure interact.”

— Neda Mirzaeian, Assistant Professor of Operations Management at UT Dallas's Jindal School of Management

“In providing guidance to urban planners—including mobility and infrastructure departments of mayoralties, city councils, town councils, and town boards—our results can identify when and where current policies need to adapt in light of the special needs and characteristics of AVs when AVs become widely deployed.”

— Sean Qian, H. J. Heinz III Professor of Civil and Environmental Engineering at Carnegie Mellon's College of Engineering and Heinz College

What’s next

The study's findings can inform urban planning efforts as autonomous vehicles become more prevalent, helping city officials prepare for the changes in commuting patterns and infrastructure needs.

The takeaway

This study highlights the significant impact autonomous vehicles could have on morning commutes, parking, and urban planning in business districts. By understanding these potential changes, city leaders can proactively adapt policies and infrastructure to accommodate the rise of self-driving cars and ensure efficient, sustainable transportation systems for the future.