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.

Publication Details

Journal
Newcastle University ePrints (Newcastle Univesity)
Published
2025-06-30
DOI
https://doi.org/10.57711/gctj-yd09
Primary Topic
Environmental Monitoring and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Newcastle University ePrints (Newcastle Univesity)
Environmental Monitoring and Data Management
article

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

article en

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.

Newcastle University ePrints (Newcastle Univesity)
Affordable and clean energy
Openalex Percentile: Top 40%
Environmental Monitoring and Data Management
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