Abstract
Urban areas face increasing challenges of traffic congestion and air pollution, two interconnected problems that impact public health, urban mobility, and climate change. Traditional traffic management systems primarily optimize traffic flow but fail to address the environmental consequences of vehicle emissions. EcoFlow Traffic Intelligence provides an innovative, emissions-first solution that integrates technology to tackle both traffic and pollution simultaneously. EcoFlow uses IoT sensors to monitor real-time traffic volume and pollution levels in high-traffic areas. The system employs an AI-powered traffic control engine to dynamically adjust traffic signals, prioritizing green lights in zones with high emissions to reduce vehicle idling. Additionally, EcoFlow’s eco-routing feature offers drivers real-time route suggestions to minimize travel time and emissions, while also prioritizing public transit and low-emission vehicles. A real-time dashboard displays traffic and pollution metrics, ensuring transparency and fostering public engagement. This dual-purpose approach uniquely targets emissions as the root cause, contributing to cleaner air, healthier cities, and reduced congestion. EcoFlow distinguishes itself from conventional systems like Surtrac and Singapore’s Smart Traffic Management by prioritizing environmental sustainability alongside traffic optimization. By addressing traffic congestion and urban emissions, EcoFlow helps cities align with global climate goals and improve the quality of life for urban populations. Scalable and adaptable, it serves as a blueprint for sustainable urban mobility, creating immediate and measurable impacts on pollution reduction and traffic efficiency. EcoFlow stands as a transformative solution for cities striving to build cleaner, smarter, and more sustainable futures.
Presenters
Sizolwethu MaphangaStudent, Information Science, University of Eswatini, Manzini, Swaziland
Details
Presentation Type
Theme
2025 Special Focus—Sustainable Development for a Dynamic Planet: Lessons, Priorities, and Solutions
KEYWORDS
Traffic Management, Air Pollution, AI-Powered Solutions, Sustainable Development, IoT Sensors
