A Data Warehouse System for Estimating Fuel Consumption from Multiple Traffic Data Sources
Term
4. term
Education
Publication year
2021
Submitted on
2021-06-03
Pages
16
Abstract
Abstract—Given the need to reduce greenhouse gas emissions throughout society, methods are needed to estimate current emissions reliably so that the effects of initiatives towards reducing emissions can be assessed. This paper focuses on traffic and how, given traffic data, we can provide insight into the total emissions of the municipality. The data sources are Induction Loop Derived Data and Floating Car Derived Data. A data warehouse design is proposed, and the paper elaborates on the benefits of the design. A fuel estimation model uses the processed traffic data to estimate fuel consumption and CO2 emissions. Furthermore, the model uses custom vehicle sets to reflect the real-life traffic of a municipality. The paper offers insight into the strengths and weaknesses of the approach and explores alternative methods for modifying and improving the approach. The system provides estimations for fuel consumption and CO2 from spatial and temporal queries through an interface.
Keywords
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