Hi, if you have a realistic travel demand (and that is a big if which is not solved by the randomTrips used in the osmWebWizard) and calibrated your simulation (adapted the vehicle type parameters to your local community by fitting it to real measurement data) you will be able to reproduce the jams on the OSM network on a simple junction. Complex junctions might need manual refinement.
Best regards, Michael PS Please keep the list posted, you get more answers then. Am 02.06.19 um 09:55 schrieb Manh Do Van: > Thank you so much for your reply. I used to use E2 ( lane area detector) > to capture the max jam length factor as well as mean time loss factor > based on my traffic simulation for a single intersection. It works well. > Therefore, I want to utilize it or ( E1, E3) to detect the traffic > congestion positions in the network traffic simulation. As discussed > above, I can not have the fullest data ( both geometry data, traffic > pattern demand) to build my traffic simulation model for 1 district in > my country. So, the question is: > Is the data in "osmWebWizard" suitable to detect the traffic congestion > positions ( traffic congestion points) in rush hour? > Thank you, I would appreciate hearing from you. > > On Sat, Jun 1, 2019 at 6:38 PM Michael Behrisch <[email protected] > <mailto:[email protected]>> wrote: > > Dear Manh Do Van, > OpenStreetMap does not have any traffic demand data that I know of. What > happens with the osmWebWizard and randomTrips.py is that it assigns > trips from and to random locations (hence the name). It is possible to > give higher probability to faster / wider roads or the network fringe > but it is still random. Concerning your third question, there are a > variety of simulated detectors in sumo, see > https://sumo.dlr.de/wiki/Simulation/Output > > Best regards, > Michael > > Am 30.05.19 um 21:10 schrieb Manh Do Van: > > Dear Users, > > I would like to ask about the accuracy of the osm data extracted from > > OpenStreetMap. > > Typically, we can build the traffic simulation model by Sumo from > > traffic geometry and traffic pattern demand data. But I can not have > > enough those data for a district or a city. So, I want to use the osm > > data associated with "Randomtrip.py" to detect the traffic jam > position > > in rush hour for my district base on osm data. Therefore, I have some > > questions: > > 1. Did you know the accuracy of osm data? > > 2. Does osm data simulate the real traffic system in real time? > > 3. Are there any tools in Sumo can detect the traffic congestion > point ( > > traffic jam positions) in Sumo? > > I would appreciate receiving your reply. > > > > */Many thanks and Best Regard ! > > /* > > > > *Manh, Do Van ( Mr )* > > > > > > _______________________________________________ > > sumo-user mailing list > > [email protected] <mailto:[email protected]> > > To change your delivery options, retrieve your password, or > unsubscribe from this list, visit > > https://www.eclipse.org/mailman/listinfo/sumo-user > > > > > > > -- > > */Many thanks and Best Regard ! > /* > > *Manh, Do Van ( Mr ) > * > > *Civil Engineering Faculty* > > *UNIVERSITY OF TRANSPORT AND COMMUNICATIONS*** > Add: No.3 Cau Giay St, Lang Thuong Ward, Dong Da Dist, Ha Noi Viet Nam > > Mobile : +84-972573673 > > Email: [email protected] <mailto:[email protected]>; > [email protected] <mailto:[email protected]> > > Website: http://www.utc.edu.vn <http://www.uct.edu.vn/> >
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