Artificial intelligence-driven adaptive traffic flow optimization system for managing and controlling vehicular traffic in urban and intercity environments, has multiple internet-of-things-enabled sensors installed at traffic intersections
	TANU
	2025-03-29
专利权人	UNIV CHANDIGARH (UNCD-C)
申请日期	2025-03-29
专利号	IN202511030713-A
成果简介	NOVELTY - The system has a set of traffic cameras provided with artificial intelligence-based object detection for capturing visual traffic data and identifying vehicle types, roadblocks and accidents. A set of edge computing devices is operatively connected to sensors and cameras, where the edge computing device locally processes time-sensitive data and dynamically controls traffic signals in real-time. A centralized cloud infrastructure comprises a data lake and machine learning servers and stores historical and real time traffic data. A network of adaptive traffic signals receives control commands from edge devices and cloud analytics to dynamically adjust signal timings. A navigation system is integrated with mobile and in-vehicle applications. The sensors are provided with inductive loop sensors for vehicle presence detection, radar or LiDAR sensors for speed and density monitoring. USE - Artificial intelligence-driven adaptive traffic flow optimization system for managing and controlling vehicular traffic in urban and intercity environments. ADVANTAGE - The system improves traffic management in urban and inter-city environments by leveraging real-time data, predictive analytics and IoT-enabled technologies, and optimizes traffic signal timings dynamically using real time data, vehicle density, road conditions and environmental inputs, and ensures efficient vehicular movement and reduced congestion, and predicts and mitigates traffic congestion proactively by employing machine learning programs that analyze historical and real time traffic data for forecasting traffic patterns. The system provides real time route guidance to drivers, and leverages integrated navigation systems to offer alternate paths and balance traffic loads across the network, and reduces fuel consumption and vehicle emissions by minimizing idle times and unnecessary stops, thus contributing to environmental sustainability and cleaner urban air. Enables scalable, automated and smart city compatible traffic flow optimization system. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is included for a method for optimizing traffic flow using an AI-driven adaptive traffic management system. DESCRIPTION OF DRAWING(S) - The drawing shows a flow diagram illustrating a process of an artificial intelligence-driven adaptive traffic flow optimization system for managing and controlling vehicular traffic in urban and intercity environments.
IPC 分类号	G06Q-010/08 ; G08G-001/01 ; G08G-001/04 ; G08G-001/08 ; G08G-001/087
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13335
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV CHANDIGARH (UNCD-C)
推荐引用方式 GB/T 7714	TANU. Artificial intelligence-driven adaptive traffic flow optimization system for managing and controlling vehicular traffic in urban and intercity environments, has multiple internet-of-things-enabled sensors installed at traffic intersections. IN202511030713-A[P]. 2025.

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