BSP Optimizer is an Intelligent Traffic Management System (ITMS) that leverages AI, Edge, and Fog computing to enhance urban mobility. It predicts congestion, dynamically adjusts signal timings, monitors lane-wise vehicle speeds, and recommends optimal routes. Through a LoRa Mesh Network, intersections communicate seamlessly, enabling self-learning, adaptive, and efficient traffic management even in low-connectivity areas.
Real-time traffic monitoring across intersections and highways ensures responsive and adaptive traffic control.
Machine learning forecasts traffic patterns and optimizes signals to proactively prevent congestion.
Signals dynamically adjust in real-time, reducing waiting times and ensuring smoother traffic flow.
Reduces bottlenecks and high-risk congestion zones, improving commuter safety.
Minimizes fuel wastage and emissions by decreasing idle and stop-and-go traffic.
Designed for integration across urban zones, enabling scalable deployment with minimal disruption.
Traffic congestion at busy city squares is one of the biggest challenges faced by urban areas. Long queues, mismanaged signals, and unpredictable traffic flow reduce efficiency, increase pollution, and put lives at risk. BSP is designed to solve this problem at its core by ensuring smooth and intelligent traffic movement across intersections.
With BSP, cities can achieve faster mobility, safer roads, and a greener environment while setting an example for smart, sustainable urban development.
BSP (Busy Street Preventer) is an AI-powered traffic solution designed to reduce congestion, improve road safety, and make city transport more efficient. Built in India for smart cities of tomorrow.
BSP makes traffic flow smarter, safer, and greener.