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DTSTAMP:20250626T233527Z
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UID:submissions.supercomputing.org_SC24_sess533_post107@linklings.com
SUMMARY:Assessing the Impact of Real-Time Traffic Updates on Traffic Flow:
  A High-Performance Computing Perspective on Scalability and Demand
DESCRIPTION:Paulo Silva, Pavlína Smolková, Sofia Michailidu, Jakub Beránek
 , Roman Macháček, Kateřina Slaninová, and Jan Martinovič (IT4Innovations, 
 VSB - Technical University of Ostrava) and Radim Cmar (Sygic a.s.)\n\nIn t
 he dynamic landscape of smart cities, it is necessary to improve the poten
 tial of real-time traffic data and high-performance computing to optimize 
 traffic flow through dynamic re-routing strategies. Our research contribut
 es to the assessment of how real-time traffic optimization and alternative
  route computation influences the overall improvement of traffic flow with
 in cities. Our experimental scenarios take place under various traffic mod
 eling and computational conditions, and deliver a scalability analysis and
  evaluation of several simulations on high-performance computing. Our appr
 oach involves simulations where different portions of vehicles dynamically
  adjust routes based on real-time traffic information. Also, scalability t
 ests with varying computational workers and nodes assess our traffic simul
 ator's capacity for scaling. One of our main findings shows that an inform
 ed management of live traffic data and selective alternative route computa
 tion can have a significant impact on the overall driving time and traffic
  flow within a city.\n\nRegistration Category: Tech Program Reg Pass, Exhi
 bits Reg Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-Alexander Univers
 ity, Erlangen-Nuremberg; Erlangen National High Performance Computing Cent
 er); Sally Ellingson (University of Kentucky); and Alan Sussman (Universit
 y of Maryland)\n\n
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