以交通移动智能 驱动关键决策

Aimsun: 以交通移动智能驱动关键决策

我们的使命是通过赋能基于数据的高效决策优化全球交通网络。

Aimsun 致力于提供先进的交通仿真软件与具有预测性的数字化交通移动解决方案,全力支持交通规划与运营的各个环节。

深入洞悉交通网络,获取精准可靠的预测结果,为决策支持提供坚实基础。

Aimsun 服务范围

我们以卓越交通仿真软件闻名,并且提供端到端一站式交通服务,覆盖数据分析、交通预测、交通仿真、交通工程等专业领域。
Circle in Light Blue with the text 'Software' as part of our end-to-end mobility intelligence services
Circle in Light Blue with the text ‘Simulation’ as part of our end-to-end mobility intelligence services
Circle in Light Blue with the text ‘Data science’ as part of our end-to-end mobility intelligence services
Circle in Light Blue with the text ‘Engineering’ as part of our end-to-end mobility intelligence services
Circle in Light Blue with the text ‘AI’ as part of our end-to-end mobility intelligence services

做出具有现实影响力的决策

15% in glowing green text colour

节省年度出行时间

€9

百万欧元

提升年度生产效率

66%

减少事故引发的延误

€5

百万欧元

节省年度燃料开支

10%

降低二氧化碳排放量

*计算数据来源于Aimsun Live实时交通管理解决方案的实际案例。这些数据是通过对一段10公里长的复杂城际高速公路走廊上的典型交通事件进行研究得出的,并考虑了绕行对周边道路网络的影响。

谁在使用 Aimsun?

Transport

decision makers

我们的解决方案帮助您做出基于数据的明智决策

Transport


Modellers

我们的工具让您的工作更高效、更顺畅

Data

Brokers

我们处理复杂数据,提供清洁、可直接使用的交通数据集

Engineering


consultancies

与我们合作,降低成本,同时助您赢得项目竞标


研究人员

借助我们的专业知识,推动技术创新和突破


学生

免费获取软件,结合培训课程和教程快速提升技能

Aimsun值得信赖的公司

拥有逾 25 年的丰富行业经验。
Aimsun 足迹遍布全球 100 多个国家,与各国政府交通部门、专业咨询公司以及顶尖研究机构保持着紧密的合作关系。

客户推荐

“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.”

Getlink logo

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.”

Tees Valley logo

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.”

DRIEAT logo

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.”

EXAT logo

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.”

TfGM logo

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.”

Acciona logo

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.”

Andorra logo

Marc Pons
Director,
Andorra Research + Innovation

“Aimsun is synonymous with modelling in most of our minds.”

CILT logo

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.”

JAPC logo

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.”

NYCDOT logo

Andrew J. Weeks
Director | Modeling & Data Analysis,
New York City DOT

开始行动

了解更多信息,请联系我们,我们期待与您沟通和交流。

以交通移动智能 驱动关键决策

Aimsun: 以交通移动智能驱动关键决策

我们的使命是通过赋能基于数据的高效决策优化全球交通网络。

Aimsun 致力于提供先进的交通仿真软件与具有预测性的数字化交通移动解决方案,全力支持交通规划与运营的各个环节。

深入洞悉交通网络,获取精准可靠的预测结果,为决策支持提供坚实基础。

Aimsun 服务范围

我们以卓越交通仿真软件闻名,并且提供端到端一站式交通服务,覆盖数据分析、交通预测、交通仿真、交通工程等专业领域。

做出具有现实影响力的决策

15% in glowing green text colour

节省年度出行时间

€9 百万欧元

提升年度生产效率

66%

减少事故引发的延误

€5 百万欧元

节省年度燃料开支

10%

降低二氧化碳排放量

*计算数据来源于Aimsun Live实时交通管理解决方案的实际案例。这些数据是通过对一段10公里长的复杂城际高速公路走廊上的典型交通事件进行研究得出的,并考虑了绕行对周边道路网络的影响。

Aimsun值得信赖的公司

拥有逾 25 年的丰富行业经验。
Aimsun 足迹遍布全球 100 多个国家,与各国政府交通部门、专业咨询公司以及顶尖研究机构保持着紧密的合作关系。

客户推荐

“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.”

Getlink logo

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.”

Tees Valley logo

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.”

DRIEAT logo

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.”

EXAT logo

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.”

TfGM logo

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.”

Acciona logo

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.”

Andorra logo

Marc Pons
Director,
Andorra Research + Innovation

“Aimsun is synonymous with modelling in most of our minds.”

CILT logo

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.”

JAPC logo

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.”

NYCDOT logo

Andrew J. Weeks
Director | Modeling & Data Analysis,
New York City DOT

开始行动

了解更多信息,请联系我们,我们期待与您沟通和交流。
Aimsun
  • 有问题吗? 请联系我们。

    我们在这里提供帮助!

  • 有问题吗? 请联系我们。

    我们在这里提供帮助!

引用Aimsun Next

Aimsun Next 20

Aimsun (2021). Aimsun Next 20 User’s Manual, Aimsun Next Version 20.0.3, Barcelona, Spain. Accessed on: May. 1, 2021. [In software].
Available: qthelp://aimsun.com.aimsun.20.0/doc/UsersManual/Intro.html


Aimsun Next 8.4

Aimsun (2021). Aimsun Next 8.4 User’s Manual, Aimsun Next Version 8.4.4, Barcelona, Spain. Accessed on: May. 1, 2021. [In software]. Available: qthelp://aimsun.com.aimsun.8.4/doc/UsersManual/Intro.html

Aimsun Next 20

@manual {​​​​​​​​AimsunManual,

title = {​​​​​​​​Aimsun Next 20 User’s Manual}​​​​​​​​,

author = {​​​​​​​​Aimsun}​​​​​​​​,

edition = {​​​​​​​​​​​​​​​Aimsun Next 20.0.3}​​​​​​​​​​​​​​​,

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 8.4

@manual {​​​​​​​​AimsunManual,

title = {​​​​​​​​Aimsun Next 8.4 User’s Manual}​​​​​​​​,

author = {​​​​​​​​Aimsun}​​​​​​​​,

edition = {​​​​​​​​​​​​​​​Aimsun Next 8.4.4}​​​​​​​​​​​​​​​,

address = {​​​​​​​​​​​​​​​Barcelona, Spain}​​​​​​​​​​​​​​​,

year = {​​​​​​​​​​​​​​​2021. [In software]}​​​​​​​​​​​​​​​,

month = {​​​​​​​​​​​​​​​Accessed on: Month, Day, Year}​​​​​​​​​​​​​​​,

url = {​​​​​​​​​​​​​​​qthelp://aimsun.com.aimsun.8.4/doc/UsersManual/Intro.html}​​​​​​​​​​​​​​​,

}​​​​​​​​​​​​​​​

Aimsun Next 20

TY – COMP

T1 – Aimsun Next 20 User’s Manual

A1 – Aimsun

ET – Aimsun Next Version 20.0.3

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


Aimsun Next 8.4

TY – COMP

T1 – Aimsun Next 8.4 User’s Manual

A1 – Aimsun

ET – Aimsun Next Version 8.4.4

Y1 – 2021

Y2 – Accessed on: Month, Day, Year

CY – Barcelona, Spain

PB – Aimsun

UR – [In software]. Available: qthelp://aimsun.com.aimsun.8.4/doc/UsersManual/Intro.html