Current Volume 9
AI-Powered Smart Mobility System for Urban Cities: Integrating Electric Cycles, IoT Tracking, and Real-Time Route Optimization
Abstract
Urban transportation in Indian cities is facing a dual crisis: growing congestion that slows commuter movement and rising vehicular pollution that damages public health. Petrol-powered two-wheelers and cars dominate short-distance urban trips that could be completed far more efficiently by electric cycles. This paper proposes and evaluates an AI-powered smart mobility system that integrates low-maintenance electric cycles with IoT-based real-time tracking and machine learning route optimization. The system is designed for deployment across smart city public infrastructure and corporate campuses. We examine the system architecture, its AI components, the design principles that minimize maintenance cost and repair complexity, and the health and environmental outcomes that result from large-scale adoption. Comparative data drawn from Indian urban mobility studies and global smart city deployments demonstrate that the proposed system can reduce last-mile travel cost by up to 70%, lower maintenance expenditure compared to petrol vehicles, and contribute measurable improvements in urban air quality and commuter physical health. This paper argues that AI-enabled electric cycle networks are not a future possibility but an implementable solution for Indian cities today.
Keywords
Electric Cycles, Smart Mobility, IoT Tracking, Route Optimization, Artificial Intelligence, Smart Cities, Urban Transportation, Last-Mile Connectivity, Corporate Mobility, Green Transport.
Citations
IRE Journals:
Atharva Kudale, Prof. Netraja Muley "AI-Powered Smart Mobility System for Urban Cities: Integrating Electric Cycles, IoT Tracking, and Real-Time Route Optimization" Iconic Research And Engineering Journals Volume 9 Issue 12 2026 Page 96-103 https://doi.org/10.64388/IREV9I12-1718519
IEEE:
Atharva Kudale, Prof. Netraja Muley
"AI-Powered Smart Mobility System for Urban Cities: Integrating Electric Cycles, IoT Tracking, and Real-Time Route Optimization" Iconic Research And Engineering Journals, 9(12) https://doi.org/10.64388/IREV9I12-1718519
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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