Link Volumes · aftersim

bandwidth banner Bandwidth plot

Link bandwidth plot plugin. Supports regular bandwidth plots as well as difference and sum plots when comparing two alternatives.

Usage

A file named viz-links-*.yml must be present in working folder. Each yml file matching that pattern will produce a separate link volume diagram.

viz-links-example.yml

title: "Passagieraufkommen in Sammeltaxis"
description: "Stündliches Passagieraufkommen in Sammeltaxis"
csvFile: "../base/hourlyTrafficVolume_passengers_VEHICLEFILTER-drt-vehicles.csv"
csvFile2: "Vu-DRT-1.link_hourlyTrafficVolume_passengers_VEHICLEFILTER-drt-vehicles.csv"
geojsonFile: ../vulkaneifel-network.geo.json.gz
shpFile: "vulkaneifel-network/vulkaneifel-network.shp"
dbfFile: "vulkaneifel-network/vulkaneifel-network.dbf"
projection: "EPSG:25832"
widthFactor: 0.01
sampleRate: 0.25
thumbnail: thumbnail-roads.jpg
shpFileIdProperty: "ID"

YAML fields explained

geojsonFile: geojson-converted network file. Use the python script in scripts/create-network.py to create a geojson network from a matsim network.xml.gz file.

Command is python3 create-network.py [mynetwork.xml.gz]
and will create a file with the name mynetwork.json.gz.

shpFile,dbfFile: (deprecated) filenames for the alternative, slower network file in shapefile format. Don't use this if you have created the geojson network file above.

csvFile: dataset, or "base" dataset for difference plots

csvFile2: (optional) "project" dataset for difference plots

sampleRate: MATSim simulation sample rate; i.e. a 1% sample should use 0.01 here so that volumes are scaled properly

shpFileIdProperty: property name of field in Shapefile which contains area ID for linking shapefile regions to csvFile data.

Note: All filename fields can refer to parent folders using ../.

example: geojsonfile: '../networks/base.json.gz'

This works as far up the hierarchy as the base of the public-svn specified in svnConfig.js but no further.

Required model output post-processing

geoJsonFile - The standard MATSim network.xml.gz file is very inefficient and slow to load. Create the geoJsonFile network file using the following Python script:

create-network.py
You will need to install Python 3 to use this script.

csvFile - Use whatever method you like to produce a CSV for your data. The first line of the file should contain labels of the column names, e.g. the hour of the day, etc.

First column must include the link ID, identical to the link ID in the network file
All remaining columns will be available and will be labeled accordingly. The viz will also produce a sum "total" automatically

example-data.csv

link;01:00:00;02:00:00;03:00:00;04:00:00;05:00:00;06:00:00;07:00:00;08:00:00;09:00:00;10:00:00;11:00:00;12:00:00;13:00:00;14:00:00;15:00:00;16:00:00;17:00:00;18:00:00;19:00:00;20:00:00;21:00:00;22:00:00;23:00:00;24:00:00;25:00:00;26:00:00;27:00:00;28:00:00;30:00:00
72539930;0;0;0;0;7;13;20;16;13;15;18;17;32;25;29;55;53;43;48;12;12;10;4;4;4;0;0;0;0
42868713;0;0;0;0;0;0;0;0;0;0;0;0;0;1;0;0;1;1;0;0;0;0;0;0;0;0;0;0;0
72539936;0;1;0;0;17;57;63;52;51;47;49;59;78;67;73;113;99;98;107;47;38;36;24;13;4;0;0;0;0
6173553;0;1;0;3;5;1;10;10;9;3;8;4;6;3;4;9;5;7;4;2;1;1;1;2;0;1;0;0;0