Next Generation Mobility Systems
University of Michigan Ann Arbor

Living infrastructure for next generation mobility

Connectivity and automation can turn infrastructure from a static asset into a living system that senses, learns, and adapts. We examine how introducing connectivity, automatomation, electrification, and the sharing economy may reshape mobility, and we build predictive and prescriptive tools that combine large-scale optimization, AI, and game-theoretic analysis, using digital twins for pre-deployment evaluation.

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Latest news

Sep 2025

IEEE Intelligent Vehicles Conference

Detroit, June 22 – 25, 2026

Deadline for paper submission extended to Nov. 15th. (https://ieee-iv.org/2026/)

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Sep 2025

New paper on a dynamic cybersecurity resource allocation in CAVs  

Transportation Research Part C

We use reinforcement learning to quantify the trade offs between cybersecurity resource allocation and energy consumption in AVs.

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Aug 2025

New paper on a simulation platform for curb space

Transportation Research Part E

We introduces a SUMO model to examine curb space interactions and policy impacts.

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Research

We study shared, electrified, connected, and automated systems using optimization, machine learning, and game theory. Example project areas below.

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Shared Mobility

Methods for optimal matching, routing, and pricing in shared mobility systems.

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CAV Cybersecurity Solutions

Methods to protect next-generation transportation systems from cyber threats and sensor failures.

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CAV Trajectory Planning and Routing

Methods for intelligent trajectory and routing planning in autonomous vehicles.

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Incentive Design

Incentives to effectively shift user behavior.

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Play Mode Shift Master!

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Curb Space Management

Methods for opitmal pricing and allocation of the curb space.

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Play Curb Tycoon Jr.!

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CAV Safety

Methods for increasing safety of transportation network leveraging CAV data.

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Transportation Infrastructure Electrification

Methods for making strategic and operational decisions about charging infrastructure sitting and pricing.

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Ditigal Twins

Dynamic, multi-resolution, and self-sustaining digital replicas.

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People

Headshot of Principal Investigator
Principal Investigator
Associate Professor, CEE
Headshot of Shanshan Liu
Shanshan (Shirley) Liu
Postdoctoral Scholar, MIDAS
Headshot of Jisoon Lim
Jisoon Lim
PhD Candidate, CEE
Headshot of Iason Liagkas
Iason Liagkas
PhD Candidate, CEE
Headshot of Jason Phillip Lu
Jason Phillip Lu
PhD Candidate, CEE
Headshot of Churong Chen
Churong Chen
PhD Candidate, CEE
Headshot of Golbarg Dokhani Shabestari
Golbarg Dokhani Shabestari
PhD Candidate, CEE
Headshot of Spencer Checkoway
Spencer Checkoway
PhD Student, CEE, SEAS

PhD Graduates

Headshot of Ethan Zhang
Ethan Zhang
PhD, CEE
Headshot of Yiyang Wang
Yiyang Wang
PhD, CEE
Headshot of Mojtaba Abdolmaleki
Mojtaba Abdolmaleki
PhD, CEE
Headshot of Amirmahdi Tafreshian
Amirmahdi Tafreshian
PhD, CEE

Publications

A selection of recent publications is listed below.

Dynamic usage allocation and pricing for curb space operation
Lim J., Masoud N., Transportation Science (2024)
PDF · DOI
Anomaly detection and string stability analysis in connected automated vehicular platoons
Wang Y., Zhang R., Masoud N., Liu H., Transportation Research Part C: Emerging Technologies (2023)
PDF · DOI
A truthful subsidy scheme for a peer-to-peer ridesharing market with incomplete information
Tafreshian A., Masoud N, Transportation Research Part B: Methodological (2022)
PDF · DOI

Full list on Google Scholar.

Contact

Mailing address

2124 GG Brown Bldg
2350 Hayward St
Ann Arbor, MI 48109

Reach us

Email: nmasoud att umich.edu
GitHub: NGMS Lab
YouTube: channel

Collaborations

We partner with cities, agencies, and industry on joint research and data sharing.

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