The objective is to exclude areas that are unlikely to be affected by incidents or responses to those incidents. 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 area included in the simulation model depends on the type of network being managed. One of the scenarios always corresponds to the ‘do nothing' case. Each simulation considers a concrete set of actions that might be applied in order to improve the network situation. The simulations produce dynamic forecasts of traffic conditions at a detailed, local level for the next 30–60 minutes. Each scenario is simulated on a dedicated computer. This step involves dynamic (mesoscopic or microscopic) simulation of one or more scenarios in real time.

The demand pattern database is created in a prior step by carrying out analysis of historical data. It finds the closest match between the data received in real time from among several demand patterns stored in a database. Using up-to-date field data, Aimsun Live identifies, retrieves and loads a travel demand matrix of the road network being managed. From a single highway corridor to an entire major city, Aimsun Live can simulate vehicle movement within the road network.Īimsun Live was launched in 2008 and is now fully deployed in Interstate 15 in San Diego, Grand Lyon in France and other locations worldwide.Īimsun Live uses live traffic data feeds and simulations to forecast future traffic conditions for large Urban areas and regional networks.Īimsun 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.

By combining these live traffic data feeds and high-speed 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. 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.Īimsun Live connects with the traffic control centre, continuously processing live field data. Traffic control centres use Aimsun Live (formerly Aimsun Online) to make real-time decisions about the management of a road network. Traffic forecasting, transportation forecasting, road traffic control, congestion planningĪimsun Live is a simulation-based traffic forecasting solution, developed and marketed by Aimsun.

Aimsun mesoscopic model