Title: MoveON: AI-IoT Enabled Smart Mobility & Citizen Grievance Platform


Authors: Yash Patel, Poorvi Jaiswal, Umesh Panchal, Shreya Verma, Nidhi Nigam, Ashwinee Gadwal


Published in: Volume 3 Issue 1 Jan June 2026, Page No. 168-172


DOI: 10.63844/IJAITR.v3.i1.2026.168-172 cite


Keywords: AI-powered traffic management, congestion prediction, IoT sensors, smart city, sustainability, urban mobility.


Abstract: Rapid urbanization has made traffic congestion one of the most pressing challenges in Indian cities, leading to excessive fuel consumption, delayed commutes, and frequent accidents. This paper presents moveON, an AI and IoT-powered Smart Traffic Management System designed to optimize urban mobility while ensuring safety and sustainability. The system integrates real-time data from IoT sensors, cameras, and environmental monitors to analyze vehicle density, detect anomalies, and dynamically control traffic signals. Machine learning algorithms predict congestion patterns and reroute vehicles to decongest critical zones. A dual interface comprising a Citizen App and an Authority Dashboard enables transparent communication, citizen feedback, and rapid response to incidents. Additionally, environmental sensors such as SHT40 and MQ-135 monitor temperature, humidity, and pollution levels to assess the eco-impact of traffic patterns. The proposed system is cost-effective, scalable to Tier-1 and Tier-2 cities, and supports India’s Smart City mission by promoting data-driven governance, efficient traffic flow, and reduced environmental impact.


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