A modern, flexible cloud-based database and computing service for real-time analysis of vehicle emissions data

Area of Science:

• Environmental Science
• Computer Science
• Transportation Engineering

Background:

• Growing demand for advanced environmental monitoring tools.
• Need for enhanced research in road transport emissions.
• Challenges in accessing and analyzing real-driving emissions (RDE) data.

Purpose of the Study:

• To leverage modern software and big data technologies for novel road transport emissions research.
• To make emissions data and analysis tools more widely available and customizable.
• To reduce barriers to understanding RDE across urban environments.

Main Methods:

• Combination of vehicle emissions remote sensing and cloud computing methodologies.
• Development of a web-application for data accessibility and analysis.
• Utilizing big data technologies for environmental monitoring.

Main Results:

• Enhanced accessibility of environmental data for policy-making.
• Demonstration of cloud computing's practical application in air quality management.
• Customizable outputs tailored to user requirements for emissions research.

Conclusions:

• Modern technological solutions can significantly improve environmental data accessibility.
• The developed platform supports sustainable urban development through better policy formulation.
• Publicly available tools foster broader engagement in environmental research and policy.