Integrative hybrid information systems for enhanced traffic maintenance and control in Bangalore: a synchronized approach
Abstract
This research introduces a novel methodology for urban traffic management by proposing and executing a hybrid traffic management system. This system has been developed with the aim of improving traffic efficiency, minimizing environmental consequences, and fostering sustainable urban mobility through the integration of geographic information systems (GIS), artificial intelligence (AI), the Internet of things (IoT), and big data analytics. It fits well with the book’s focus on hybrid information systems and synergizing multiple data sources and AI techniques for optimized real-world ...
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