Dear François,
tkinter is not part of SUMO but is a Python module for GUI purpose.
Best regards
Mirko
-----Original-Nachricht-----
Betreff: Re: [sumo-user] Validation of BPR Method in SUMO: Seeking Help on
Replicating Asymptotic Results in Straight Road Sections
Datum: 2024-01-17T01:34:17+0100
Von: "François Vaudrin via sumo-user" <[email protected]>
An: "Sumo project User discussions" <[email protected]>
Hallo Harald,
Thank you very much for your suggestions; it seems like a very good idea to
study the phenomenon.
I will try to see if I can deduce the BPR curve from it.
Is the tkinter interface an option in SUMO?
I appreciate your assistance and welcome any further insights.
Kind regards,
François
Québec Cityl, CANADA
------------------------------------------------------------------------
De : sumo-user <[email protected]> de la part de Harald
Schaefer via sumo-user <[email protected]>
Envoyé : mardi 16 janvier 2024 04:45
À : [email protected] <[email protected]>
Cc : Harald Schaefer <[email protected]>
Objet : Re: [sumo-user] Validation of BPR Method in SUMO: Seeking Help on
Replicating Asymptotic Results in Straight Road Sections
Bonjour François,
to simulate congestions on a highway i have created a straight road of 10
km length.
In the beginning I'm filling in cars on 5 lanes, then merging to 3 lanes
and oberserving the traffic after 8 or 9 km.
The UI shows views from 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 that congestion naturally
occurs when vehicles are added on a road section, but the reality is
more complicated. However, I was hoping to find an alternative approach
to replicate the phenomenon without introducing a bottleneck.
In the past, Jakob suggested using a closed loop to replicate the
phenomenon. Is this the sole method to achieve it? But I understand
that it may not be possible otherwise.
The preference for a straight road is to enhance conference
presentation clarity, as a bottleneck or loop could be challenging for
the audience.
I appreciate your assistance and welcome any further insights.
Kind regards,
François
Québec city , CANADA
--------------------------------------------------------------------
De : Mirko Barthauer <[email protected]>
<mailto:[email protected]>
Envoyé : lundi 15 janvier 2024 06:26
À : Sumo project User discussions <[email protected]>
<mailto:[email protected]>
Cc : François Vaudrin <[email protected]>
<mailto:[email protected]>
Objet : AW: [sumo-user] Validation of BPR Method in SUMO: Seeking Help
on Replicating Asymptotic Results in Straight Road Sections
Dear François,
as you already noted, travel times on inflow edges depend a lot on the
insertion rules and the used car-following settings. The next vehicle
to be inserted needs some space (vehicle length and distance to leader)
and only one vehicle per time step and lane can enter the network. To
some extent, your question is similar to "how to replicate the
fundamental diagram in sumo" (especially the saturated part). You need
some way to increase the vehicle density which will lead to longer
travel times.
Either create an artificial bottleneck or let vehicles circulate in the
network for longer and keep some distance from inflow places when
measuring the travel time.
Best regards
Mirko
-----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" <[email protected]>
<mailto:[email protected]>
An: "Sumo project User discussions" <[email protected]>
<mailto:[email protected]>
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 increases exponentially until reaching the ultimate
capacity of the road.
where:
* T is the travel time on the road,
* Tff is the initial travel time,
* q is the flow of traffic (number of vehicles per unit time),
* qpc is the capacity of the road (maximum number of vehicles the
road can accommodate per unit time),
* α and β are adjustable parameters.
Despite increasing the flow of vehicles in a network with SUMO,
Vehicles are being pushed backward before entering the network,
possibly due to a required distance (likely related to the
car-following model), but the results are not the same than BPR. The
Time Tff appears to be a straight line rather than an asymptotic curve.
Appreciating any insights or suggestions to obtain similar results of
BPR?
Wishing a fantastic year ahead to the SUMO teams and contributors!
François Vaudrin
semaphor.ai
Québec city, Canada
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