Static OD adjustment: the impact of weight function and gradient descent iterations
February 2019: Mohammad Saifuzzaman explores the use of adjustment weighting functions to improve the GEH and not just the R2.
1 August 2014
by Margarida Delgado
The Four-step Model experiment in Aimsun allows the user to organize all of the processes in a chain. The advantages are twofold: this allows the execution of the whole experiment in one run with no need for scripting, and the experiment will help to keep track of the steps executed and relate inputs and outputs.
A four-step model experiment
Each box corresponds to an input (vectors, matrices) or experiment to be executed (Generation/Attraction experiment, Distribution+Modal Split experiment, Assignment experiment). Each box also corresponds to an Aimsun object; the values and parameters must be set in the object itself (matrix, vector or experiment) and not in the Four-step Model experiment. If you want, you can change the name of the box to make the diagram more descriptive.
Each box corresponds to an input and an object
Lines connecting the boxes also contain information; you can select which information in the preceding box is relevant and should be used by the next box. Click on any connecting line to show and select the corresponding data:
Lines connecting the boxes also contain information
February 2019: Mohammad Saifuzzaman explores the use of adjustment weighting functions to improve the GEH and not just the R2.
August 2014: Margarida Delgado explains the advantages of the chain structure of the four-step model experiment in Aimsun.
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Aimsun Next 24
Aimsun (2024). Aimsun Next 24 User’s Manual, Aimsun Next Version 24.0.0, Barcelona, Spain. Accessed on: April. 16, 2024. [Online].
Available: https://docs.aimsun.com/next/24.0.0/
Aimsun Next 24
@manual {AimsunManual,
title = {Aimsun Next 24 User’s Manual},
author = {Aimsun},
edition = {Aimsun Next 24.0.0},
address = {Barcelona, Spain},
year = {2024. [Online]},
month = {Accessed on: Month, Day, Year},
url = {https://docs.aimsun.com/next/24.0.0},
}
Aimsun Next 24
TY – COMP
T1 – Aimsun Next 24 User’s Manual
A1 – Aimsun
ET – Aimsun Next Version 24.0.0
Y1 – 2024
Y2 – Accessed on: Month, Day, Year
CY – Barcelona, Spain
PB – Aimsun
UR – [In software]. Available:
https://docs.aimsun.com/next/24.0.0/