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词条 Aimsun Live
释义

  1. Product features

      Real-time analysis    Calibrated model retrieval    Real-time simulation    Online visualisation    Other features  

  2. Practical uses

  3. Project examples

  4. Literature

  5. References

  6. External links

{{DISPLAYTITLE:Aimsun Live}}{{Infobox Software
| name = Aimsun Live
| developer = Aimsun
| latest release version = Aimsun Live
| latest release date = {{release date|2008}}
| genre = Traffic forecasting, transportation forecasting, road traffic control, congestion planning
| license = Software license agreement
| website = http://www.aimsun.com
|logo= Aimsun Live.jpg
}}

Aimsun Live is a simulation-based traffic forecasting solution, developed and marketed by Aimsun.

Traffic control centres use Aimsun Live (formerly Aimsun Online) to make real-time decisions about the management of a road network. It is used to dynamically forecast future traffic conditions based on the current state of the network and to evaluate incident response or traffic management strategies.

Aimsun Live slots right into the traffic control centre and continuously processes live field data, simulating vehicle movement inside a road network of any size, from a single highway corridor to an entire major world city. By combining these live traffic data feeds and high-speed simulations with 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 in Interstate 15 in San Diego, Grand Lyon in France and other locations worldwide.

Product features

Aimsun Live uses live traffic data feeds and simulations to forecast future traffic conditions for large urban areas and regional networks.

Real-time analysis

Aimsun Live analyses real-time inputs from disparate sources of information, such as field traffic controllers, detectors, incident reports and live data feeds from key intersections.

Calibrated model retrieval

Using up-to-date field data, Aimsun Live identifies, retrieves and loads a travel demand matrix of the road network being managed. It finds the closest match between the data received in real time from among several demand patterns stored in a database. The demand pattern database is created in a prior step by carrying out analysis of historical data.

Real-time simulation

This step involves 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 [1] 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.

Online visualisation

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.

Other features

  • Customization to work with traffic control software
  • Assimilation of new data to improve quality of predictions over time

Practical uses

  • Online travel information systems
  • Dynamic emergency vehicle routing
  • Emissions management
  • Accident response strategy assessments
  • Urban and interurban congestion management
  • Security threat mitigation and large-scale evacuation management

Project examples

Aimsun Live is or has been used to inform operational decisions for:

  • Integrated Corridor Management Project on Interstate 15, San Diego, CA [2] The Intelligent Transportation Society of America (ITS America) awarded this project the Best Innovative Practices Award in the 2013 Best of ITS awards competition.
  • Singapore City Centre
  • Grand Lyon
  • M30, Madrid, Spain [3]

Literature

  • Integrated Corridor Management on I-15 in San Diego, Traffic Technology Today, Dan Lukasik, A.: March 2013
  • Traffic operations: Thinking ahead, Traffic Technology Today, Torday, A and Gerodimos, A.:17 Apr 2009{{Dead link|date=October 2018 |bot=InternetArchiveBot |fix-attempted=yes }}
  • Bola de cristal del tráfico, El Periódico de Catalunya, 23 Feb 2009

References

1. ^Simulation times from Madrid, M30, project
2. ^{{Cite web |url=http://www.aimsun.com/wp/?p=141 |title=Project overview and links |access-date=2014-02-12 |archive-url=https://web.archive.org/web/20140223124934/http://www.aimsun.com/wp/?p=141 |archive-date=2014-02-23 |dead-url=yes |df= }}
3. ^Report from European Transport Conference 2008

External links

  • Aimsun Live official website
  • [https://www.youtube.com/AimsunOnline Aimsun Live official YouTube channel]

1 : Transportation planning

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