Gitesh Wakde,
Lakshmikant Ghare,
Naveed Imran Khan Abdul Hameed Khan,
Bhamare Dhananjay,
Rahul Sonar,
Kiran Bhosale,
Abstract
The digital transformation of public transport systems has emerged as a critical driver for improving urban mobility and addressing the growing challenges of congestion, inefficiency, and environmental sustainability. Public transport management systems are advancing through the integration of cutting-edge technologies like cloud computing, artificial intelligence (AI), big data analytics, and the Internet of Things (IoT). These innovations enhance efficiency, intelligence, and user experience, making transportation more seamless and responsive to commuter needs. This research investigates the application of digital tools in key areas such as real-time scheduling, route optimization, and fleet management. The integration of predictive analytics enables proactive maintenance, reducing downtime and enhancing the reliability of transit networks. Mobile applications and contactless payment systems are streamlining passenger experiences, improving accessibility, and enabling seamless connectivity across multimodal transport systems. Additionally, digital twin technologies and data-driven insights help transit authorities simulate and plan more resilient and adaptive transport systems in real-time. The study also delves into the challenges associated with this transformation, including data privacy concerns, cybersecurity risks, and the digital divide that may hinder equitable access to smart transportation solutions. Furthermore, the environmental benefits of adopting digital solutions are explored, focusing on energy efficiency and reduced emissions through optimized operations. By providing a comprehensive analysis of digital transformation in public transport, this research offers actionable insights for policymakers, transit operators, and urban planners. It highlights the importance of adopting a holistic approach that combines technological advancements with inclusive policies to ensure sustainable, accessible, and efficient public transport systems. The findings aim to contribute to the development of smart cities by fostering innovation and creating a reliable mobility ecosystem tailored to the needs of modern urban populations.
Keywords: Digital transformation, public transport management, smart mobility, artificial intelligence, Internet of Things, big data analytics, real-time scheduling, predictive maintenance, route optimization, contactless payment systems, mobile applications, fleet management, digital twin technology, sustainable transportation, smart cities
[This article belongs to Trends in Transport Engineering and Applications ]
Gitesh Wakde, Lakshmikant Ghare, Naveed Imran Khan Abdul Hameed Khan, Bhamare Dhananjay, Rahul Sonar, Kiran Bhosale. Digital Transformation in Public Transport Management. Trends in Transport Engineering and Applications. 2025; 12(01):17-21.
Gitesh Wakde, Lakshmikant Ghare, Naveed Imran Khan Abdul Hameed Khan, Bhamare Dhananjay, Rahul Sonar, Kiran Bhosale. Digital Transformation in Public Transport Management. Trends in Transport Engineering and Applications. 2025; 12(01):17-21. Available from: https://journals.stmjournals.com/ttea/article=2025/view=209357
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Trends in Transport Engineering and Applications
| Volume | 12 |
| Issue | 01 |
| Received | 16/02/2025 |
| Accepted | 18/02/2025 |
| Published | 20/02/2025 |
| Publication Time | 4 Days |
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