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Sustainable Urban Mobility and Smart Traffic Management: Balancing Optimization With Environmental Sustainability Goals
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Author(s): Saurabh Chandra (Bennett University, India)
Copyright: 2025
Pages: 18
Source title:
Machine Learning and Robotics in Urban Planning and Management
Source Author(s)/Editor(s): Kamalesh Ravesangar (Tunku Abdul Rahman University of Management and Technology, Malaysia), Christian Kaunert (Dublin City University, Ireland & University of South Wales, UK), Bhupinder Singh (Sharda University, India), Sahil Lal (Galgotias University, Greater Noida, India)and Manmeet Kaur Arora (Sharda University, India)
DOI: 10.4018/979-8-3693-9410-6.ch012
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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.
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