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UID:0-8507@eng.ufl.edu
DTSTART;TZID=America/New_York:20260526T094500
DTEND;TZID=America/New_York:20260526T104500
DTSTAMP:20260521T200643Z
URL:https://www.eng.ufl.edu/news-events/events/evolving-transportation-con
 trol-systems-toward-collaborative-mobility/
SUMMARY:Evolving Transportation Control Systems Toward Collaborative Mobili
 ty
DESCRIPTION:ALI HAJBABAIE\, PH.D.\nPROFESSOR AND ASSOCIATE HEAD FOR RESEARC
 H AND INFRASTRUCTURE\nNORTH CAROLINA STATE UNIVERSITY\nEvolving Transporta
 tion Control Systems Toward Collaborative Mobility\nTransportation control
  systems are undergoing a fundamental transformation as vehicles and infra
 structure become increasingly connected\, automated\, and computationally 
 capable. Traditional traffic control architectures were designed around pa
 ssive vehicles\, local observability\, and infrastructure-centered decisio
 n authority. Emerging sensing\, communication\, computation\, and actuatio
 n capabilities now enable new forms of distributed and collaborative contr
 ol in which vehicles and infrastructure jointly participate in decision-ma
 king.\nRather than treating traffic control as a collection of isolated al
 gorithms\, this talk frames it as an architectural problem: as vehicles\, 
 infrastructure\, and data systems become more capable\, decision authority
 \, information flow\, coordination\, and constraint enforcement must also 
 evolve. This lens connects several streams of our research on scalable opt
 imization and control of transportation networks\, moving from infrastruct
 ure-centered control toward coordinated and collaborative systems. The tal
 k emphasizes how distributed and decomposition-based methods can make netw
 ork-level control computationally tractable\, how multiple infrastructure 
 control domains can be coordinated under shared system objectives\, and ho
 w mixed traffic streams of connected automated and human-driven vehicles c
 reate new opportunities and constraints for vehicle-infrastructure collabo
 ration. The final part discusses uncertainty-aware formulations that accou
 nt for sensing\, communication\, behavioral\, and actuation uncertainty in
  these emerging control architectures.\nThe broader objective is to develo
 p scalable\, real-time\, and reliable control architectures for next-gener
 ation transportation systems. These control architectures are designed to 
 improve mobility\, safety\, traffic flow stability\, and operational effic
 iency while explicitly addressing practical challenges related to computat
 ion\, communication\, mixed autonomy\, and deployment readiness.
CATEGORIES:Faculty Search,Seminars
LOCATION:Weil Hall Room 307 Conference Room\, 1949 Stadium Road\, Gainesvil
 le\, FL\, 32611\, United States
GEO:29.648415;-82.348484
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 ille\, FL\, 32611\, United States;X-APPLE-RADIUS=100;X-TITLE=Weil Hall Roo
 m 307 Conference Room:geo:29.648415,-82.348484
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