Project Title: An information-centric IoT infrastructure for pollution monitoring and sustainable traffic planning

Acknowledgement: We would like to thank for the grant support for International Collaboration for Eco-Innovation (2012-2013) from Vinnova, Sweden.

Objectives

● To develop a global IoT infrastructure with self-configuring capabilities based on standardized communication protocols where cyber physical and web-enabled smart devices, such as sensors and mobile phones, can be seamlessly integrated into the information network.

● To support energy-efficient and information-centric sensing, communication, network configuration and data management for the information network in dynamic environments.

● Based on the above IoT infrastructure, we develop an intelligent pollution monitoring and traffic planning system to reduce energy consumption, pollution and traffic congestion in major cities of Sweden and China.

Background

Emission from motor vehicles is a major source of air pollution in large cities in all parts of the world. In China's large and medium sized cities this is very apparent to anyone visiting them. As car ownership swells, it will add more pressure on traffic control and environmental protection in these cities. While pollution monitoring and traffic monitoring are both done already today, they are largely viewed as separate activities. In this project we aim for combining them in a way to aid traffic and urban planning to reduce pollution and energy consumption of vehicles. To achieve this, we will design an intelligent transportation system, which relies on data collected by smart devices, including road sensors for taking pollution measurements and mobile phones for gathering location information from vehicles. We will investigate a novel information-centric Internet-of-Things (IoT) architecture that can connect smart sensors, mobile phones, vehicles and human beings to the Internet. The goal is to provide sensing, prediction, and traffic control by integrating different kinds of sensing information to form a complete picture for sustainable urban and transportation planning. Both real-time and long-term decisions can be made based on the sensing data for redirecting traffic to relieve traffic congestion, reducing CO₂ emission, pollution and energy consumption of vehicles. We will take advantage of the latest developments in information-centric networking and communication technology, and explore the market potential of our proposed solution via a feasibility study. The project will involve active collaboration between industries, academics and public sectors in Sweden and China.

Partners