As a first approximation, you can just combine the traffic generated from
counts with that from GTFS.
If public transport is a major part of your cities traffic volume, you can
simulate with GTFS-only at first and collect the public transport counting
data from your simulation. You can then subtract these numbers from your
other counting data to avoid overestimating traffic.
Am Mi., 24. Apr. 2024 um 13:32 Uhr schrieb fereshte jafari via sumo-user <
sumo-user@eclipse.org>:
> Hello there!
>
> I want to simulate both passenger and bus mobilities. As far as I
> understood from sumo documentation, I have to proceed like below:
> 1- Network preparation
> 2- Locating the bus stops and defining their schedules (adding PT)
> 3- Generating and assigning traffic demand to the network
>
> What I have now are:
> 1- Transportation network.xml file which includes allowed modes on each
> edge (passenger/bus) in addition to other required information
> (except bus stops)
> 2- Bus stop shp.file
> 3- GTFS.zip file
> 4- Detectors.xml file like what is mentioned here
> https://sumo.dlr.de/docs/Demand/Routes_from_Observation_Points.html#computing_detector_types
> 5- A csv file including detector,time, qPKW, vPKW, qLKW, vLKW to compute
> flows, according to this documentation:
> https://sumo.dlr.de/docs/Demand/Routes_from_Observation_Points.html#computing_flows
>
> But I got confused on continuing with "gtfstopt.py" or "dfrouter" as the
> next step. "gtfstopt.py" will generate bus stops and routes. On the other
> hand, I have traffic counts from detectors, and if I am not
> misunderstanding, "dfrouter" will also generate vehicles and their routes
> for both passengers and buses.
> I would be very thankful if you let me know your idea and guide me on what
> to do next.
>
> --
> *Sincerely,*
> *Fereshteh Jafari Shahdani*
> *PhD candidate, Dep. of Civil Engineering*
> *ISISE - University of Minho*
>
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