iFogSUMO: An Integrated Platform of iFogSim and SUMO to Enhance Simulation Capabilities of Adaptive Traffic Control for Smart City Applications

The increasing demand for smart city applications and Internet of Things (IoT) solutions has led to a growing need for simulation tools that can accurately model and analyze complex systems. iFogSim and Simulator of Urban Mobility (SUMO) are two popular simulation tools that cater to different aspects of smart city and IoT applications. iFogSim focuses on fog computing and IoT simulations, while SUMO specializes in traffic and mobility simulations. The integration of iFogSim and SUMO simulators can enable researchers and developers to design and optimize smart city applications more effectively by providing a robust testbed. This paper proposes integrating iFogSim and SUMO to create a comprehensive simulation framework, iFogSUMO, that accurately models and analyzes adaptive traffic control systems. The framework was evaluated for ambulance routing by simulating traffic with various vehicle types and executing the adaptive traffic control algorithm to assess its performance in terms of trip time, waiting time, and time loss during ambulance routing, while maintaining scalability across heterogeneous vehicle fleets.