 | This article reads like a press release or a news article and may be largely based on routine coverage .(February 2022) |
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| Industry | Simulation software |
|---|---|
| Founded | 1997 |
| Parent | Yunex Traffic |
| Website | aimsun |
Aimsun (short for "Advanced Interactive Microscopic Simulator for Urban and Non-Urban Networks" [1] ) is a software company that provides simulation software and services for transportation planning and traffic management. [2]
Aimsun was founded in 1997 and developed Aimsun Next traffic modeling software, which simulates mobility in networks. [3]
Aimsun also develops Aimsun Live, which is a simulation-based traffic forecasting software [4] as well as Aimsun Auto for studying path planning in driverless vehicles, [5] and Aimsun Ride for modeling demand-responsive transportation services. [6]
Aimsun was acquired by Siemens in 2018 for an undisclosed sum, as part of the Siemens Mobility Intelligent Traffic Systems (ITS) unit. [7] [8]
In 2021, Siemens Mobility carved out the Intelligent Traffic Systems (ITS) unit, of which Aimsun is a part, and renamed it Yunex Traffic. [9]
In 2022, Italian infrastructure group Mundys (then known as Atlantia) bought Siemens' Yunex Traffic division for 950 million euros ($1.1 billion) to expand its transport services, making Aimsun a part of the Mundys group.
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| Developer(s) | Aimsun |
|---|---|
| Stable release | Aimsun Live / 2008 |
| Type | Traffic forecasting, transportation forecasting, road traffic control, congestion planning |
| License | Software license agreement |
| Website | aimsun |
Aimsun Live is a traffic forecasting software, developed and marketed by Aimsun. Traffic control centers use Aimsun Live (formerly Aimsun Online) to make real-time decisions about the management of a road network. It is used to forecast future traffic conditions based on the current state of the network and to evaluate incident response or traffic management strategies.
Aimsun Live connects with the traffic control center, continuously processing live field data. By combining these live traffic data feeds and simulations with the emulation of congestion mitigation strategies, Aimsun Live can accurately forecast the future network flow patterns that will result from a particular traffic management or information provision strategy. Aimsun Live was launched in 2008 and is now fully deployed on Interstate 15 in San Diego, Grand Lyon in France, and other locations worldwide.
It uses live traffic data feeds and simulations to forecast future traffic conditions for large Urban areas and regional networks. It analyzes real-time inputs from disparate sources of information, such as field traffic controllers, detectors, incident reports and live data feeds from key intersections. Using up-to-date field data, Aimsun Live identifies, retrieves, and loads a travel demand matrix for the road network being managed. It finds the closest match between the data received in real time and several demand patterns stored in a database. The demand pattern database is created in a prior step by carrying out an analysis of historical data.
This step involves the dynamic (mesoscopic or microscopic) simulation of one or more scenarios in real time. Each scenario is simulated on a dedicated computer. The simulations produce dynamic forecasts of traffic conditions at a detailed, local level for the next 30–60 minutes. Each simulation considers a concrete set of actions that might be applied in order to improve the network situation. One of the scenarios always corresponds to the ‘do nothing' case.
The area included in the simulation model depends on the type of network being managed. It is typically defined using equilibrium assignment techniques, which evaluate at a high level the impact of local but significant capacity changes on the rest of the network. The objective is to exclude areas that are unlikely to be affected by incidents or responses to those incidents.
Simulations typically last 1–3 minutes [17] depending on hardware specifications, network size and level of congestion (number of vehicles). These simulations are run in 'batch mode' (without animation in 2D or 3D) in order to improve performance.
Response information is presented visually online to provide support for operational decision making. Traffic control operators are provided with quick snapshots of predicted traffic flow and performance indicators for different control alternatives.
Aimsun Live is or has been used to inform operational decisions for:
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