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.



[X]

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








_______________________________________________
sumo-user mailing list
[email protected]<mailto:[email protected]>
To unsubscribe from this list, visit 
https://www.eclipse.org/mailman/listinfo/sumo-user

_______________________________________________
sumo-user mailing list
[email protected]
To unsubscribe from this list, visit 
https://www.eclipse.org/mailman/listinfo/sumo-user

Reply via email to