Promoting Pollution-Free Routes in Smart Cities Using Air Quality Sensor Networks

Area of Science:

• Environmental Science
• Urban Planning
• Public Health

Background:

• Growing citizen concern over urban air quality and its impact on quality of life.
• Importance of real-time air quality data for health and activity planning.
• Existing government initiatives to measure air quality levels.

Purpose of the Study:

• To foster citizen awareness about urban pollution levels.
• To develop and deploy a methodology for generating pollution-free routes.
• To leverage smart city sensor infrastructure for real-time pollution assessment.

Main Methods:

• Conducting an extensive study of existing air quality indices.
• Developing a technology-agnostic methodology for pollution-free route creation.
• Implementing and deploying the methodology in a major city (Madrid, Spain).

Main Results:

• A functional methodology for identifying and creating pollution-free urban routes.
• Real-time pollution data integration for dynamic route planning.
• Successful deployment and validation in a large-scale urban environment.

Conclusions:

• The proposed methodology effectively utilizes smart city infrastructure to provide pollution-free routes.
• Increased citizen awareness of air quality can be achieved through accessible tools.
• This approach contributes to healthier urban living by mitigating pollution exposure.