Codes and results for the paper 'Scalable geospatial approach for dynamic on-road emission through open-access floating car data'

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dc.contributor.affiliationInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Finland-Järvi, Leena
dc.contributor.authorJärvi, Leena
dc.date.accessioned2025-04-29T14:03:06Z
dc.date.issued2025-01-01
dc.date.issued2025-01-01
dc.descriptionThis workflow contains a set of Matlab codes and corresponding results of a geospatial dynamic traffic model, and is used by Fung et al (to be published, embargoed until published). The workflow contents are as follows: dynamic_emission_framework.mThis is the main script to calculate dynamic emission for the paper 'Scalable geospatial approach for dynamic on-road emission through open-access floating car data' retrieve_API.mThis function is to get real-time driving speed and relative speed data from TomTom API read_LCZ_all.mThis function is to get local climate zone from a online dataset to our desired spatial resolution class2speed.mThis function is to convert color codes from TomTom API to real-world driving speed and congestion level numbers data2emission.mThis function calculates traffic emissions from driving speed and congestion levels EF_generator.mThis function generates speed-dependent emission factors based on vehicle types (vehicle class anf fuel use), driving speed, etc, using COPERT version 5.7.1: https://copert.emisia.com/wp-content/uploads/2023/09/COPERT-v5.7-Report.pdf spatialagg.mThis function resamples spatial data from raw longitude and latitude to desired longitude and latitude Please check the readme.txt for more details on the use of this workflow set.
dc.identifierhttps://doi.org/10.5281/zenodo.13861952
dc.identifier.urihttps://datakatalogi.helsinki.fi/handle/123456789/5534
dc.rights.licensecc-by-4.0
dc.titleCodes and results for the paper 'Scalable geospatial approach for dynamic on-road emission through open-access floating car data'
dc.typeworkflow

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