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Title	Simulatorbridgerdft: A Real-Data Simulator For Iot-Osmotic Interactions
ID_Doc	48926
Authors	Almutairi R.; Bergami G.; Morgan G.
Year	2025
Published	ACM International Conference Proceeding Series
DOI	http://dx.doi.org/10.1145/3718391.3718429
Abstract	Urban traffic simulation is crucial for improving traffic management by analyzing and optimizing urban mobility. Traditional VANET simulation tools, using traffic data from simulators like SUMO, lack real-world data integration. SimulatorBridgerDfT addresses this by extending SimulatorBridger to incorporate real-world traffic data from the UK's Department for Transport (DfT). It processes diverse data formats, particularly CSV from the DfT, for more accurate urban traffic simulations. The research examines how real-world traffic data affects vehicular network communication times. Experiments show that SimulatorBridgerDfT accurately mirrors real-world traffic and reveals the impact of increased IoT device loads on network performance, emphasizing the need for effective smart city network management. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.
Author Keywords	Department for Transport; IoT; Traffic Simulators; VANET

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