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CONNECTION · forward · impact 2/5 · 2026-10-18 · city governments

IEEE Smart Cities Program Expands Technical Collaboration for Urban Services

City governments increasingly use data-driven approaches to improve traffic and waste management through IEEE's technical framework.

City governments are implementing data-driven urban services for traffic efficiency and waste management using smartphone and sensor data. Dubai, Paris, and Coral Gables, Fla. are among the cities that have invested heavily in smart city programs. The IEEE Smart Cities Technical Community, launched in 2013, now operates under the IEEE Power & Energy Society since 2021 and has 7,000+ active volunteers across technical tracks including smart grid, water management, mobility, and AI. This structure supports city-led initiatives through the Smart Cities Ambassadors program and partnerships with networks like the Open and Agile Smart Cities and Communities.

The program’s mechanism for scaling impact involves technical communities that enable cross-sector collaboration—such as sustainable lighting and governance solutions—while addressing friction points like privacy risks and eroded trust between residents and governments. These challenges are documented in the initiative’s current framework but are not yet resolved.

For mobility and sustenance needs, this work directly improves urban livability by optimizing traffic flow and waste collection systems. When cities deploy these data-driven services effectively, they reduce resource strain on infrastructure and lower costs for essential services.

The initiative’s next steps include the IEEE European Technology and Engineering Management Summit in 2025 and the Sustainable Smart Lighting World Conference in December 2025. Current caveats: all 2025 event dates are scheduled, not completed; the 7,000+ volunteer figure reflects active participation as of the source’s publication date; and the program faces ongoing challenges with privacy and public trust that could limit adoption.

Source: IEEE Spectrum