Smart City Gnosys

Smart city article details

Title Big Data Analytics In Smart Cities Traffic Light
ID_Doc 12026
Authors Ghetiya R.; Sutariya M.; Dudharejiya Y.G.; Palaniappan D.; Premavathi T.; Jain R.; Parmar K.
Year 2025
Published Leveraging Urban Computing for Sustainable Urban Development
DOI http://dx.doi.org/10.4018/979-8-3373-0761-9.ch010
Abstract The big data in smart cities is integrating and affecting the revolution of urban management through increasing efficiency and sustainability for quality life. This chapter takes an overview of the impact on the three dimensions of traffic management, resource optimization, and citizen engagement. Big data enables predictive analytics, IoT sensors, and adaptive systems to ease congestion and improve transportation in traffic management. Resource optimization achieves this through smart grids, leak detection, and sensor-based waste systems in order to reduce waste and have sustainability. Platforms promoting citizen engagement promote participation, feedback, and transparency in policy making - most of which are aligned with citizen needs. Challenges include privacy, security, investment in infrastructures, and so on. These need robust data governance, policy support, and technological innovation in the form of AI and blockchain for secure and efficient systems. Big data leads to smarter decisions that are data-driven and create sustainable and citizen-centric urban environments. © 2025 by IGI Global Scientific Publishing. All rights reserved.
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