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Title Beyond The Horizon: Exploring The Future Of Artificial Intelligence (Ai) Powered Sustainable Mobility In Public Transportation System
ID_Doc 11907
Authors Jadhav B.; Kulkarni A.; Khang A.; Kulkarni P.; Kulkarni S.
Year 2025
Published Lecture Notes in Intelligent Transportation and Infrastructure, Part F64
DOI http://dx.doi.org/10.1007/978-3-031-72617-0_21
Abstract Recent news highlights the severe impact of traffic congestion, such as in a major Information Technology (IT) city in India where 37 IT companies are relocating due to continual traffic issues. This not only disrupts the daily lives of workers and related businesses but also significantly harms the environment. High temperatures, such as the record 54 degrees Celsius in the capital city, are partly due to pollution, despite efforts to improve mobility with metros, public transport, CNG, and electric vehicles. Imagine driving a quiet vehicle on an empty street. While this may seem like a distant dream now, it can become a reality with Artificial Intelligence (AI)-based automation. Beyond the Horizon: Exploring the Future of AI-powered sustainable mobility aims to discover revolutionary ways to achieve hassle-free travel. By leveraging data science and sophisticated algorithms, AI can identify traffic-free routes, pinpoint the causes of traffic jams, and notify authorities for quick action. This chapter delves into how AI can guide us toward a more sustainable and efficient way to move around the world, envisioning a future where seamless and eco-friendly transportation is within our grasp. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Author Keywords AI in logistics and SCM; Artificial intelligence; Green technology; Intelligent transportation system; Smart city mobility; Smart transportation; Sustainable mobility solutions; Traffic management


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