A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)

🤖 Plain-English Summary

Traffic congestion is one of the growing urban problem with associated problems like fuel wastage, loss of lives, and slow productivity. The second observation is emergency vehicle have distinct siren sound that is detected using a novel acoustic detection algorithm on an edge device.

🔑 Key Findings

• The existing traffic system uses programming logic control (PLC) with round-robin scheduling algorithm.
• Recent works have proposed IoT-based frameworks that use traffic density of each lane to control traffic movement, but they suffer from low accuracy due to lack of emergency vehicle image datasets for training deep neural networks.
• In this paper, we propose a novel distributed IoT framework that is based on two observations.

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