MoveON: AI-IoT Enabled Smart Mobility & Citizen Grievance Platform
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.
Fields of Study & Subjects
Traffic control and management
IoT and GPS-based Vehicle Safety Systems
Smart Cities and Technologies
Publication details
- Journal / source
- International Journal of Advancement and Innovation in Technology and Research
- Volume
- 3
- Issue
- 1
- Pages
- 168–172
- Publication date
- 1 January 2026