An Aimsun Live deployment in Oxfordshire, UK with integrated air dispersion modeling.
To improve air quality in the city of Wiesbaden, Aimsun Live forecasts combine with the IMMIS emission model and Siemens’ Sitraffic Concert to assess traffic management strategies in real time.
Aimsun Live is the predictive engine that will analyze and forecast the effectiveness of response plans to mitigate congestion.
Aimsun Live is the traffic prediction software at the heart of the NSW Government’s $600m M4 Smart Motorway project. The project uses real-time data, communications and ITS to improve traffic flow.
Traffic Technology International, Nov 2018: Given the many real-time adaptive traffic management systems already in operation, why do we need short-term prediction, decision support systems and predictive modeling?
Queensland Department of Transport and Main Roads commissioned an operational Aimsun Live implementation to assess its accuracy and potential value for future operations planning.
Satellite-generated atmospheric data helps local authorities devise real-time traffic management strategies for reducing pollution levels.
Three-year, EC-backed pilot project to show how prediction tools can help traffic centre operators anticipate and mitigate congestion, particularly at peak times.
Aimsun Live forecasts and simulates congestion and capacity imbalances in real time for SANDAG’s award-winning ICMS on I-15.