9 Millionen Euro
66%
5 Millionen Euro
10%
*Berechnungen basierend auf einem realen Beispiel der Echtzeit-Verkehrsmanagementlösung Aimsun Live.
Our solutions help you make strong, data-driven decisions
Our tools make your work efficient and streamlined
We crunch the numbers and return clean, ready-to-use transport datasets
Bring us on board to reduce your costs and help you win bids
Use our know-how to push the boundaries of technology
Enjoy free software and upskill with training courses and free tutorials
„Thanks to our collaboration with Aimsun, we have developed digital twins of our road and vehicle parking infrastructures. These innovative modelling tools have not only enabled Eurotunnel to design new services for our customers with greater precision, but also to simulate and optimise our day-to-day operations as part of our commitment to continuous improvement.“
Linda Maisano
Railway Operations, Planning & Transformation Director, Getlink
“The immediate benefits are clear. Not only will an automated digital twin bring cost savings from reduced staffing requirements as we expand our digital services, but it will also help us to implement the best strategies to reduce congestion and emissions.
Looking ahead, this digital twin will grow with us to provide a future-proof platform for testing a broad range of innovative mobility solutions.”
Andrea Reacroft
Digital Transport Programme Delivery Manager,
Tees Valley Combined Authority
„Aimsun Next is the traffic modelling software chosen by the Paris department of the French Transport Ministry for its next-generation regional road traffic model.
Aimsun Next provides more accurate reproduction of traffic congestion, allowing for better assessment of tomorrow’s mobility in the region, especially regarding new public transport lines and carpooling policies.“
Luc Charansonney
Chef du département de la modélisation et des études de mobilité, DREIAT
“For over 10 years, Aimsun’s dynamic, multi-resolution models have been instrumental in NYCDOT’s traffic analyses for critical multimodal transportation projects in the city. These projects have included highway and street redesigns, pedestrian and bicycle facilities, busways, Select Bus Service (BRT) corridors, construction MPT plans, and transit signal priority and connected vehicle studies.”
Andrew J. Weeks
Director | Modeling & Data Analysis,
New York City DOT
“We tasked Aimsun with developing a large and complex model to ambitious project milestones. Given Aimsun’s experience in building similar projects elsewhere, and their status as developers of the software, we were confident they would deliver on this challenging project.”
Sam Corns
Highways Strategy Manager,
Transport for Greater Manchester
“Unparalleled technical skill, commitment to project objectives, completely innovative vision, and excellent project management. The Aimsun team know how to push the frontier of application of the models far beyond any conventional approach.”
Ulises Wensell Martinez
Manager for Demand and Revenue Studies,
ACCIONA Concesiones S.L.
„The deployment of a national mobility model for Andorra with Aimsun gave us a powerful tool for analysing mobility-related issues, from greenhouse gas emissions to multimodal transport and digitalization.”
Marc Pons
Director,
Andorra Research + Innovation
“Aimsun is synonymous with modelling in most of our minds.”
Jennie Martin MBE FCILT
Honorary Secretary and Trustee,
CILT International
„We highly recommend Aimsun Next for any transportation consultancy seeking to achieve unparalleled precision and effectiveness
in their projects.“
Ir. Ts. Dr. Ashita S. Pereira
Director,
JA Project Consultant
“For over 10 years, Aimsun’s dynamic, multi-resolution models have been instrumental in NYCDOT’s traffic analyses for critical multimodal transportation projects in the city. These projects have included highway and street redesigns, pedestrian and bicycle facilities, busways, Select Bus Service (BRT) corridors, construction MPT plans, and transit signal priority and connected vehicle studies.”
Andrew J. Weeks
Director | Modeling & Data Analysis,
New York City DOT
9 Millionen Euro
66%
5 Millionen Euro
10%
*Berechnungen, die aus dem realen Beispiel der Echtzeit-Verkehrsmanagementlösung Aimsun Live stammen, die auf dem M4 Smart Motorrad in Sydney, Australien, eingesetzt wird.
“Unparalleled technical skill, commitment to project objectives, completely innovative vision, and excellent project management. The Aimsun team know how to push the frontier of application of the models far beyond any conventional approach.”
Linda Maisano
Railway Operations, Planning & Transformation Director, Getlink
“The immediate benefits are clear. Not only will an automated digital twin bring cost savings from reduced staffing requirements as we expand our digital services, but it will also help us to implement the best strategies to reduce congestion and emissions.
Looking ahead, this digital twin will grow with us to provide a future-proof platform for testing a broad range of innovative mobility solutions.”
Andrea Reacroft
Digital Transport Programme Delivery Manager,
Tees Valley Combined Authority
„Aimsun Next is the traffic modelling software chosen by the Paris department of the French Transport Ministry for its next-generation regional road traffic model.
Aimsun Next provides more accurate reproduction of traffic congestion, allowing for better assessment of tomorrow’s mobility in the region, especially regarding new public transport lines and carpooling policies.“
Luc Charansonney
Chef du département de la modélisation et des études de mobilité, DREIAT
“The Aimsun team has demonstrated outstanding expertise and commitment in delivering solutions for traffic monitoring, traffic management, and accident management through advanced technology and comprehensive analytical tools.
Aimsun has provided valuable insights into traffic management, enabling real-time monitoring and efficient traffic operations.
The outcomes of this system have proven to be practical and effective, paving the way for smart transportation on expressways in the future.”
Mr Siwat Panyachaiwatthanakool
Director of Research and Innovations Division, Digital Department 1, The Expressway Authority of Thailand
“We tasked Aimsun with developing a large and complex model to ambitious project milestones. Given Aimsun’s experience in building similar projects elsewhere, and their status as developers of the software, we were confident they would deliver on this challenging project.”
Sam Corns
Highways Strategy Manager,
Transport for Greater Manchester
“Unparalleled technical skill, commitment to project objectives, completely innovative vision, and excellent project management. The Aimsun team know how to push the frontier of application of the models far beyond any conventional approach.”
Ulises Wensell Martinez
Manager for Demand and Revenue Studies,
ACCIONA Concesiones S.L.
„The deployment of a national mobility model for Andorra with Aimsun gave us a powerful tool for analysing mobility-related issues, from greenhouse gas emissions to multimodal transport and digitalization.”
Marc Pons
Director,
Andorra Research + Innovation
“Aimsun is synonymous with modelling in most of our minds.”
Jennie Martin MBE FCILT
Honorary Secretary and Trustee,
CILT International
„We highly recommend Aimsun Next for any transportation consultancy seeking to achieve unparalleled precision and effectiveness
in their projects.“
Ir. Ts. Dr. Ashita S. Pereira
Director,
JA Project Consultant
“For over 10 years, Aimsun’s dynamic, multi-resolution models have been instrumental in NYCDOT’s traffic analyses for critical multimodal transportation projects in the city. These projects have included highway and street redesigns, pedestrian and bicycle facilities, busways, Select Bus Service (BRT) corridors, construction MPT plans, and transit signal priority and connected vehicle studies.”
Andrew J. Weeks
Director | Modeling & Data Analysis,
New York City DOT
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
