Intelligent Transportation Systems

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dc.contributor.authorDr. Liana Moretti
dc.date.accessioned2025-10-05T09:02:46Z
dc.date.issued2024-12-12
dc.descriptionThis document explores how Intelligent Transportation Systems (ITS) leverage real-time data, artificial intelligence, and networked sensors to optimize urban mobility. The project integrates multi-modal data streams from vehicles, traffic lights, and environmental sensors to improve road safety, reduce congestion, and lower emissions. It outlines an adaptive control framework using federated learning models deployed at city-wide edge nodes to support privacy-preserving optimization.
dc.description.abstractThe ITS platform represents a paradigm shift in transportation management. Through a hybrid architecture combining Vehicle-to-Everything (V2X) communication, AI-driven decision-making, and cloud-edge orchestration, cities can dynamically adjust routes, prioritize emergency vehicles, and respond to evolving traffic conditions.
dc.identifier.issn9847-7765
dc.identifier.urihttps://dspacedemo.knowledgee.com/handle/123456789/39
dc.language.isoen_US
dc.publisherRoads and Transport Authority (RTA), Dubai
dc.subjectIntelligent Transport
dc.subjectConnected Vehicles
dc.subjectSmart Mobility
dc.subjectTraffic Optimization
dc.titleIntelligent Transportation Systems
dc.typeBook

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