SimulatorBridgerDfT: A Real-Data Simulator for IoT-Osmotic Interactions
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.
Authors
- Giacomo Bergami (ORCID: https://orcid.org/0000-0002-1844-0851)
- Reham Almutairi (ORCID: https://orcid.org/0000-0002-1685-3919)
- Graham Morgan (ORCID: https://orcid.org/0000-0002-0089-0395)
Institutions
- University of Hafr Al-Batin (SA)
- Newcastle University (GB)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1145/3718391.3718429
- Citations
- 1
- Primary Topic
- Time Series Analysis and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.35