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Driving Towards Safer Cities: Innovations in Traffic Control and Emergency Services
Abstract
The most promising system-proposed solution is to benefit real-time traffic density; congestion can be minimized through dynamic fine-tuning of signal timings. Making use of PIR sensors and LED countdown timers, the system effectively enhances traffic flow and driver awareness. However, future upgrades for greater performance optimization might consider broadening the data collection scale through an enlarged sensor network, advanced traffic modeling techniques, and integration with other urban infrastructural systems. Additional work on the machine learning algorithms probably allowed the system to learn from historical traffic patterns for tuning the responses accordingly. Addressing such aspects further strengthens the system as an effective tool for traffic management in urban areas.
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