Towards ML-based real-time traffic simulation
Towards ML-based real-time traffic simulation
Towards ML-based real-time traffic simulation
Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning
TEILEN
Aimsun Next 23
Aimsun Next 20.0.5
Aimsun Next 23
@manual {AimsunManual,
title = {Aimsun Next 23 User’s Manual},
author = {Aimsun},
edition = {Aimsun Next 23.0.0},
address = {Barcelona, Spain},
year = {2023. [Online]},
month = {Accessed on: Month, Day, Year},
url = {https://docs.aimsun.com/next/23.0.0/},
}
Aimsun Next 20.0.5
@manual {AimsunManual,
title = {Aimsun Next 20.0.5 User’s Manual},
author = {Aimsun},
edition = {Aimsun Next 20.0.5},
address = {Barcelona, Spain},
year = {2021. [In software]},
month = {Accessed on: Month, Day, Year},
url = {qthelp://aimsun.com.aimsun.20.0/doc/UsersManual/Intro.html},
}
Aimsun Next 23
TY – COMP
T1 – Aimsun Next 23 User’s Manual
A1 – Aimsun
ET – Aimsun Next Version 23.0.0
Y1 – 2023
Y2 – Accessed on: Month, Day, Year
CY – Barcelona, Spain
PB – Aimsun
UR – [In software]. Verfügbar: https://docs.aimsun.com/next/23.0.0/
Aimsun Next 20.0.5
TY – COMP
T1 – Aimsun Next 20.0.5 User’s Manual
A1 – Aimsun
ET – Aimsun Next Version 20.0.5
Y1 – 2021
Y2 – Accessed on: Month, Day, Year
CY – Barcelona, Spanien
PB – Aimsun
UR – [In software]. Available: qthelp://aimsun.com.aimsun.20.0/doc/UsersManual/Intro.html