different part of the road. An tkinter interface
allows to control the model and shows some metrics.
Best regards, Harald
Am 15.01.24 um 18:06 schrieb François Vaudrin via sumo-user:
Dear Mirko,
Thank you for your prompt and insightful response.
In the past, like many others, I assumed
--Original-Nachricht-
Betreff: [sumo-user] Validation of BPR Method in SUMO: Seeking Help on
Replicating Asymptotic Results in Straight Road Sections
Datum: 2024-01-15T08:29:15+0100
Von: "François Vaudrin via sumo-user"
An: "Sumo project User discussions"
Hello,
I'm seeking assistance in validating the BPR method using SUMO to express
travel time based on road capacity. The Bureau of Public Roads (BPR) formula is
commonly used to model travel time on a road as a function of its capacity:
After reaching a certain flow threshold, travel time
Hello,
Are there an option to tag the QueueOutput file in additionnal-file or in
.sumocfg configuration file?
Example for edge info:
Thank you
François
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To the best of my knowledge, there is no consensus on the ideal model. Each
simulator uses its own model for vehicle movements and virtually all of them
are "car-following-models,” that is, the behaviour of each driver depends on
the distance between the vehicle ahead and its speed. I think we
Hallo,
I would like to cite statistics on the approximate number of researches or
citations in connection with SUMO.
This information is it available ?
Thank you,
François
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Hello Anne,
You have to reference it in the configuration file (the one that ends with
.sumocfg).
Example:
Regards
François
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Hello Sara,
I may have misunderstood the question. If it is only the term (100 ped/h) that
you needed to define, I would not use pedestrian density but pedestrian flow.
pedestrian flow = number of pedestrian / unit of time
Regards
François
De :
Hello Sara,
I think the density is like the occupancy rate. If you consider a sidewalk 1.5
meters wide with two people walking side by side and 60 cm between each group,
then there would be 1 666 pedestrians over a distance of 500 meters. 2 (500 m /
0.6 m). So 1 666 people would be the maximum
