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Welcome to the Wiki for the Loop Detector Reformatted Data 41 Cities Pipeline.
To run this pipeline, you will need:
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Python 3.7.3(with packages:astropy 3.2.1,numpy 1.16.4) -
The original data on the loop detector locations and their time-series measurements, and the associated roads. Please contact me for access.
(i) Clone the repository into a destination directory <dir>/LDRD_41_Cities_Pipeline of your choice.
(ii) Edit the file <dir>/LDRD_41_Cities_Pipeline/config/bashrc by inserting the destination directory <dir> into the line:
export PYTHONPATH="<dir>:$PYTHONPATH"
(iii) Edit the file <dir>/LDRD_41_Cities_Pipeline/config/config.py to set the parameters as appropriate (e.g. the input and output directories).
(iv) Add the following line to your .bashrc file in your home directory:
source <dir>/LDRD_41_Cities_Pipeline/config/bashrc
(v) Source the .bashrc file in your home directory for the change to have effect:
source .bashrc
To run each stage of the pipeline, from within the directory <dir>/LDRD_41_Cities_Pipeline, issue the following commands in order:
./s0_import_and_organise_data.py
Continue with either:
./s1a_filter_data.py
./s2a_convert_data_to_2D_format.py
or:
./s1b_filter_data.py
./s2b_manual_quality_check.py
./s3b_convert_data_to_2D_format.py
The a and b branches of the pipeline are the same except that the b branch includes an extra filter on the minimum acceptable number of good measurements for a single loop detector and a manual acceptance of each empirical fundamental diagram.
Note that a description of each stage is available in the corresponding script file.
Also, in the directory <dir>/LDRD_41_Cities_Pipeline/extract_osm_network, there is a set of instructions in the README file for downloading, extracting, and preparing the files describing the underlying network for each city.
Author: Daniel Bramich