Dynamic Speed Management Enhancing Traffic Safety with Adaptive Speed Breaker

Abstract

Dynamic Speed Management (DSM) with adaptive speed breakers offers an innovative traffic solution. Unlike static bumps, these breakers use real-time data from advanced sensors (like IR for velocity) to respond dynamically. They remain retracted for vehicles within speed limits, ensuring smooth travel, but activate only for speeding vehicles to enforce safer driving. Machine learning models, such as YOLOv8, identify emergency vehicles, deactivating the breakers for their unobstructed passage. This selective system significantly enhances road safety by reducing accidents caused by abrupt braking. It optimizes traffic flow, minimizes disruptions, and consequently lowers fuel consumption, emissions, road wear, and vehicle maintenance costs. DSM also fosters a culture of safer driving. Integrating smart technologies like IoT and advanced controls, DSM's future includes smart city ecosystem integration, predictive analytics, and energy-harvesting capabilities, potentially making breakers self-sustaining. Its scalability suits diverse environments, from urban intersections to highways. DSM represents an intelligent, sustainable, and environmentally conscious approach to modern traffic management, pivotal for evolving smarter transportation systems.