Project Details

Description

Most cities today continue to struggle with data quality and data acquisition when conducting GHG emission inventories. Moreover, the lack of granular data (building- or street-level) inhibits the ability of cities to pinpoint the actual or potential impacts of mitigation strategies, which has been shown to be a significant barrier to attracting private capital for mitigation action. The Carbon Track and Trace Phase II (CTT 2.0) will deploy a number of GHG emissions sensors in Trondheim (Norway) and Vejle (Denmark) to develop real-time analytic capacity of transportation emissions. By combining the sensor data with other existing data sets (toll road counts, traffic data, air quality data, atmospheric diffusion data, passenger data) in a Big Data Analytics platform, CTT 2.0 will also be able to deliver new insights to city officials that can inform better policy and open up new business opportunities on top of the sensor and network backbones. Finally, CTT 2.0 will further develop a software workflow to support greater automation and reduced costs for city-level emissions reporting using GPC (or other) GHG emission reporting standards.
AcronymCTT
StatusFinished
Effective start/end date10/09/201630/09/2018

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 11 - Sustainable Cities and Communities

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Analysis and Visualization of Urban Emission Measurements in Smart Cities

    Ahlers, D., Kraemer, F. A., Braten, A. E., Liu, X., Anthonisen, F., Driscoll, P. A. & Krogstie, J., 2018, Proceedings of the 21st International Conference on Extending Database Technology (EDBT). OpenProceedings.org, 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Open Access
    File
    655 Downloads (Pure)
  • Air Quality Monitoring System and Benchmarking

    Liu, X. & Nielsen, P. S., 2017, International Conference on Big Data Analytics and Knowledge Discovery. Springer, p. 459-470 (Lecture Notes in Computer Science, Vol. 10440).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    File
    430 Downloads (Pure)