Towards ML-based real-time traffic simulation
Towards ML-based real-time traffic simulation
Towards ML-based real-time traffic simulation
A data-driven method for OD matrix estimation
Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning
Local traffic patterns extraction with network-wide consistency in large urban networks
San Diego I-15 Demonstration Integrated Corridor Management System – PATH Report on Stage 3: Site Demonstration and Evaluation
Decision Support Systems (DSS) for traffic management assessment: notes on current methodology and future requirements for the implementation of a DSS
TEILEN
Aimsun Next 23
Aimsun Next 20.0.5
Aimsun Next 23
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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},
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Aimsun Next 20.0.5
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author = {Aimsun},
edition = {Aimsun Next 20.0.5},
address = {Barcelona, Spain},
year = {2021. [In software]},
month = {Accessed on: Month, Day, Year},
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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
