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

Read full text
Authors: Yash Patel, Poorvi Jaiswal, Umesh Panchal, Shreya Verma, Nidhi Nigam, Ashwinee Gadwal
Cited by: 0

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