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Lookup NU author(s): Reham Almutairi, Dr Giacomo BergamiORCiD, Professor Graham MorganORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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.
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