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Title	Sustainable Urban Mobility And Smart Traffic Management: Balancing Optimization With Environmental Sustainability Goals
ID_Doc	54093
Authors	Chandra S.
Year	2025
Published	Machine Learning and Robotics in Urban Planning and Management
DOI	http://dx.doi.org/10.4018/979-8-3693-9410-6.ch012
Abstract	Urbanization and traffic congestion are rapidly worsening as an issue, and traffic optimization is necessary to improve mobility, security, and environmental sustainability. While there are diverse opportunities available, this chapter also identifies some emerging trends and technologies in traffic optimization, integration with smart city initiatives, long-term sustainability goals, etc. Advanced technologies like artificial intelligence (AI), integration of internet of things (IoT), and connected vehicles are changing traffic management by harnessing real-time data analysis and predictive routing. By embedding traffic strategies into smart cities, data-driven decision-making and public engagement leads to urban mobility improvements. Tying traffic management to sustainability objectives is also critical to reduce greenhouse gases and facilitate active modes of transportation. Through sustainable transportation, cities can improve transportation efficiency, address environmental issues, and enhance overall quality of life. © 2025, IGI Global Scientific Publishing. All rights reserved.
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