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An all-in-one solution to mobility modeling for a whole city or even a region. Get a single, united network representation of how people move in any mode, on any scale.
An all-in-one solution to mobility modeling for a whole city or even a region. Get a single, united network representation of how people move in any mode, on any scale.
Aimsun Plus – What can it do and how can you use it?
The use cases for a solution this powerful are almost endless, but Aimsun Plus is outstanding in three major areas:
Case studies
Client: The Department for Infrastructure and Transport (DIT), South Australia
Aim: A unified, consistent modeling framework for Greater Adelaide
For assessing the road network, from day-to-day operations to a five-year planning horizon. Critical use cases are disruptions, road upgrades or strategic planning of new housing developments and how the road network could be impacted. The model considers city-wide routing and can operate in a real-world environment.
The default operation of the modelling platform keeps computational effort as low as possible and prioritizes speed and agility. In cases where simulation-based responses need more detail, the platform can simulate individual road users.
The solution exceeded the calibration criteria and received extremely positive industry feedback. The platform has already delivered operational-level project results at a fraction of the time and resources used previously.
Client: Mairie de Paris (City of Paris)
Scale: The dynamic model covers 500 km2 (3,500 km of roads and 11,000 junctions)
Since 2010, the Paris model has informed the city’s day-to-day transportation planning and operations, from remodeling the entire Eiffel Tower area to integrated mobility schemes in Bastille Square.
The Paris model informs every aspect of:
Client: Abu Dhabi Integrated Transport Centre (ITC)
Scale: Emirate wide – 67,000 km2, population of 3 million
Aim: Implement a Hybrid Simulation Model (HSM) to enhance the capabilities of the existing strategic demand model
The HSM provides a platform for testing schemes and interventions with the appropriate level of detail within much reduced timeframes and with a consistent model representation.
Aimsun developed a set of automation procedures and scripting to process the wide range of datasets available, ensuring that processes were repeatable.
STEAM+ is a ground-breaking transport modelling platform, based on a big data warehouse, multi-tiered and strategic models, and a visualization tool
Client: The City of Toronto
Aim: To evaluate alternative scenarios proposed for the sequencing and staging of various construction projects planned in Downtown Toronto between 2021 and 2031.
The team had to identify traffic mitigation measures and test transport management strategies to support the construction staging for a series of future infrastructure projects.
The extent of the road capacity reductions associated with some of the planned construction phases of some of the projects analysis posed a major mobility challenge. This required especially close scrutiny when calibrating the initial model and optimizing some of the signals.
The result for the City of Toronto was a solution that could manage the demand to be served and show the impacts of the alternative scenarios and what potential issues that the city could face throughout the project until full completion.
The upgrade path from Aimsun Plus
Start small, evolve to match your resources and strategic objectives.
Proprietary Data is non-public data, important enough to give a competitive advantage.
The Simulation Model is a virtual replica of real traffic scenarios.
A combination of detection data and traffic-control data.
Get in touch with us today at info@aimsun.com and we can start the conversation.
To learn more about Aimsun’s modular platform, click here.
A complete decision support solution for real-time transportation management. Operate a complex, large-scale mobility network smoothly and reliably in all conditions.
A complete decision support solution for real-time transportation management. Operate a complex, large-scale mobility network smoothly and reliably in all conditions.
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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]. Available: 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, Spain
PB - Aimsun
UR - [In software]. Available: qthelp://aimsun.com.aimsun.20.0/doc/UsersManual/Intro.html