regarding public transport for a reduced network, see https://sumo.dlr.de/docs/Tools/Routes.html#cutroutespy.
Am Do., 9. Apr. 2020 um 06:55 Uhr schrieb Tetris < [email protected]>: > Hello, > > I'm still figuring out what causes the traffic jam in the simulation. There > is no specific junction at which the traffic jam starts. It's more in > general that there are way too many vehicles. > > I'm going through the list from > > https://sumo.dlr.de/docs/FAQ.html#the_simulation_has_lots_of_jamsdeadlocks_what_can_i_do > : > > 1. invalid network > > invalid lane numbers -> where can I see that the lane numbers are > invalid? netcheck.py? But netcheck.py is for edges, not lanes. > > missing turning lanes -> Does this mean turning lanes at junctions? > This > is something I could check just by looking at my network. I created routes > for every turn for all the junctions in my network (at least for those that > have traffic counts) > > invalid connections -> that's checked by netcheck.py? > > invalid junctions (big clusters of small junctions should be joined) -> > used join junction command. > > 2. invalid traffic lights (see Improving generated traffic lights) -> I > used > actuated traffic lights. > > 3. invalid demand (too many vehicles overall, too many vehicles starting on > the same edge). -> This seems to be causing the trouble. > I haven't defined starting edges, just the routes and maybe too many routes > start with the same edge? > The traffic demand is build upon traffic counts which have been made on > different days, even different months. Nonetheless I just put these traffic > counts into the turncounts.xml for routesampler.py. Can I calibrate the > traffic counts with Cadyts or is Cadyts for different use cases? > https://sumo.dlr.de/docs/Contributed/Cadyts.html > > 4. invalid routing > only shortest path were used instead of a user assignment algorithm -> > I > used randomtrips.py as input for routesampler. Would it be useful to run > duaIterate.py on the random trips? > > too many vehicles start/end their route with a turn-around. -> I have > seen in the simulation that vehicles turn around at the end of the road > where the network ends. > > https://sumo.dlr.de/docs/Simulation/Turnarounds.html#controlling_where_turnarounds_may_happen > I could use one of the --no-turnarounds options in netconvert. > > > > 5. invalid insertion (vehicles being inserted on the wrong lane close to > the > end of an edge where they need to change to another turn lane). This can be > fixed by setting the vehicle attribute departLane="best" -> I already > updated my rou.xml and inserted departLane="best" to every vehicle. > > I think the main cause of the traffic jam are the traffic counts that don't > fit together. > https://elib.dlr.de/127994/1/08569938.pdf The chapter V-B"demand adaption" > suggests 3 methods: Cadyts, SUMO Calibrators and REROUTER. > Which of those 3 methods fits the best to routesampler.py output from > random > trips? > > > > > > -- > Sent from: http://sumo-user-mailing-list.90755.n8.nabble.com/ > _______________________________________________ > sumo-user mailing list > [email protected] > To unsubscribe from this list, visit > https://www.eclipse.org/mailman/listinfo/sumo-user >
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