Septiembre de 2020: Aimsun consigue un contrato para la gestión inteligente del tráfico en Bergen, como parte del programa NordicWay.
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?
The Royal Automobile Club of Catalunya, known as the RACC, has presented a study using Aimsun software that analyses the impact of a proposal to join up Barcelona’s two existing tram networks. The model covers 21 junctions in and around Avinguda Diagonal – a major thoroughfare in the city.
La Vanguardia informa sobre la implantació exitosa d’Aimsun i altres empreses catalanes a Austràlia.
Thanks to the success of the ICM system, the FHWA has launched an ambitious project to develop advanced next generation Analysis, Modeling and Simulation (AMS) capabilities to evaluate the benefits of USDOT’s Advanced Travel Demand Management (ATDM) and Dynamic Mobility Applications (DMA) Connected Vehicle Programs.
El RACC ha presentat un estudi que analitza 21 cruïlles de l’Eixample per avaluar l’impacte de la unió dels tramvies sobre la qualitat de l’aire i la mobilitat de diferents modes de transport.
40 transport professionals gathered at the first ever UK-specific Aimsun Users’ Meeting in London last month to focus on local research and projects.
Operational traffic modeling for Sydney CBD, Traffic Technology International, August/September 2016
Rob Dus of GTA Consultants reports on how Aimsun modelling and SCATSIM are supporting the development of high profile demand management and operational transport strategies in Sydney CBD.
Simulation software gives insights to Lyon’s traffic operators, Traffic Technology International, June/July 2016
Emmanuel Bert reports on the Grand Lyon Opticities project, which is expected to demonstrate that the Aimsun Online prediction tool can help traffic operators anticipate and mitigate peak congestion. Traffic management operators can simulate different scenarios, according to different strategies and travel policies to assess their relative impact on the network.