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SimulatorBridgerDfT: A Real-Data Simulator for IoT-Osmotic Interactions

Lookup NU author(s): Reham Almutairi, Dr Giacomo BergamiORCiD, Professor Graham MorganORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


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.


Publication metadata

Author(s): Almutairi RMS, Bergami G, Morgan G

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 12th International Conference on Information Technology (ICIT 2024): IoT and Smart City

Year of Conference: 2024

Pages: 219-224

Online publication date: 28/06/2025

Acceptance date: 25/09/2024

Date deposited: 31/10/2024

Publisher: ACM

URL: https://doi.org/10.1145/3718391.3718429

DOI: 10.1145/3718391.3718429

ePrints DOI: 10.57711/gctj-yd09

Notes:

Library holdings: Search Newcastle University Library for this item

ISBN: 9798400717376


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