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Assessing the Impact of Real-Time Traffic Updates on Traffic Flow: A High-Performance Computing Perspective on Scalability and Demand
DescriptionIn the dynamic landscape of smart cities, it is necessary to improve the potential of real-time traffic data and high-performance computing to optimize traffic flow through dynamic re-routing strategies. Our research contributes to the assessment of how real-time traffic optimization and alternative route computation influences the overall improvement of traffic flow within cities. Our experimental scenarios take place under various traffic modeling and computational conditions, and deliver a scalability analysis and evaluation of several simulations on high-performance computing. Our approach involves simulations where different portions of vehicles dynamically adjust routes based on real-time traffic information. Also, scalability tests with varying computational workers and nodes assess our traffic simulator's capacity for scaling. One of our main findings shows that an informed management of live traffic data and selective alternative route computation can have a significant impact on the overall driving time and traffic flow within a city.
Event Type
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Doctoral Showcase
Posters
TimeTuesday, 19 November 202412pm - 5pm EST
LocationB302-B305
Registration Categories
TP
XO/EX