Transport for New South Wales (TfNSW) is developing an innovative, multi-layered traffic model of Sydney’s central business district (CBD) to test the impacts of a wide range of projects particularly the introduction of light rail through the city centre.
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.
New features in this minor update include 2-lane car-following in adjacent subpaths, subpaths outputs by entry and exit section and subpath trajectories.
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.