Codes and results for the paper 'Scalable geospatial approach for dynamic on-road emission through open-access floating car data'
Creators
- 1. Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, Finland
- 2. Helsinki Institute of Sustainability Science (HELSUS), Faculty of Science, University of Helsinki, Finland
- 3. Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany
- 4. Finnish Environment Institute (Syke), Finland
- 5. Department of Built Environment, Aalto University, Finland
Description
This 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.m
This 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.m
This function is to get real-time driving speed and relative speed data from TomTom API
read_LCZ_all.m
This function is to get local climate zone from a online dataset to our desired spatial resolution
class2speed.m
This function is to convert color codes from TomTom API to real-world driving speed and congestion level numbers
data2emission.m
This function calculates traffic emissions from driving speed and congestion levels
EF_generator.m
This 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.m
This 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.
Files
Codes and results dynamic traffic emission model.zip
Files
(1.6 GB)
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