It is possible to re-generate the scenario using SAGA - SUMO Activity GenerAtion, also available in the SUMO contributed tools https://github.com/eclipse/sumo/tree/master/tools/contributed.
tools/osmcleaner.shusesosmfilterto cleanup the OSM-like files.tools/xml2pickle.pyloads an XML file and dumps a cPickle structure, used to speed-up processing.tools/compute.area.poly.pycomputes the centroid and the approximated area for the buildings, it runs on a file containing buildings only.tools/merger/merge.osm.pickles.pymerges all the pickle files in a folder and create the complete OSM-like file.tools/pt.osm2sumo.pylooks for public transports in the OSM-like file and produces the additional files required by SUMO and the activity generation.
MoST Scenario is based on data gathered from different sources and aggregated in an OSM-like format in order to be easily used with SUMO tools.
The raw data are in tools/data and they are divided by topic.
All the files can be open with JOSM, modified, saved and then processed and aggregated using tools/osm-like.aggregator.sh. The script requires osmfilter installed.
In theory, NETCONVERT should be able to extract the public transports using --ptstop-files and --ptline-files options. Given that the options are not working with tools/most.raw.osm, tools/pt.osm2sumo.py produces the same files, split between buses and trains.
tools/static/most.raw.osm is an OSM-like file with data merged from different sources and hand-fixed to obtain a complete source for the scenario generation.
The scenario can be regenerated using tools/scenario.generator.sh