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OmniCAV teaser trailer

OmniCAV teaser trailer OmniCAV blogMarch 2021 A brief taster of the work underway in OmniCAV our InnovateUK/CCAV project on the verification and validation of autonomous vehicles. We offer a first glimpse of the integration of Aimsun mobility modeling software with the XPI Simulation environment and Ordnance Survey mapping. Stay tuned for more later in the year. The post OmniCAV teaser trailer appeared first on Aimsun. Post original [...]

OmniCAV teaser trailer2021-03-26T10:42:22-03:00

Real-time network prediction and response simulation

Real-time network prediction and response simulation February 2021 This project will see the installation of an Aimsun Live pilot system in Queensland, providing real-time simulation-based prediction, projecting 60 minutes ahead.Actively and efficiently managing a transport network requires the capability to predict its status in the upcoming hours for a better situational awareness and have access to decision support capabilities. This prediction relies on the diversity and quality of real time [...]

Real-time network prediction and response simulation2021-02-25T05:26:30-03:00

Modelling the new mobility

Modelling the new mobility February 2021 How do digital twins allow city planners to test out new road layouts virtually?Aimsun’s Moussa Ravel and Aurore Remy explain how things have worked in the French capital Paris mayor Anne Hidalgo has become famous for her radical disruption of the urban mobility space with a goal of ensuring that all residents live within 15 minutes’ walking or cycling of their daily activities. Named by Time magazine as one of the world’s 100 most influential people in 2 [...]

Modelling the new mobility2021-02-22T12:12:11-03:00

Teaching autonomous cars to drive like humans

Teaching autonomous cars to drive like humans WIRED UK MagazineTuesday 2 February 2021  The HumanDrive project is in WIRED UK Magazine! Learn how Aimsun simulations can fill in the data gaps in real-life AV testing, creating artificial edge cases.Within HumanDrive, Aimsun is working with Highways England to investigate the effect of CAVs on the strategic road network via the implementation of a simple CAV control strategy within a new class of vehicles in an extensive simulated network. The two [...]

Teaching autonomous cars to drive like humans2021-02-03T11:29:14-03:00

Preparing for the road: When and where can CAVs serve?

Preparing for the road: When and where can CAVs serve? By George EconomidesFuture of Mobility team leader at Oxfordshire County Council.January 2021  George Economides, the Future of Mobility team leader at Oxfordshire County Council, discusses the challenges of international CAV collaboration, and how simulations and operational design domain can bridge the gaps.In what feels decades ago, I had the opportunity to join on a mission to Singapore on the topic of connected and autonomous vehicles ( [...]

Preparing for the road: When and where can CAVs serve?2021-01-28T07:22:48-03:00

Semi-controlled testing at the Culham Science Centre

Semi-controlled testing at the Culham Science Centre By Garry StauntonUKAEA-RACE, Culham Science CentreOxfordshire, December 2020  The UKAEA owned Culham Science Centre is located in Oxfordshire and has some 10km of private (gated) roads and hosts approaching 2,500 tenants. As the roads are not classed as ‘the public highway’ we have been able to host trials of Level 4 self-driving vehicles1 for in excess of 4 years with a high degree of safety throughout. During this time we have had to address [...]

Semi-controlled testing at the Culham Science Centre2020-12-21T11:32:59-03:00

Traffic on the digital road

Traffic on the digital road By Dr. Karin Kraschl-HirschmannHead of System Engineering & InnovationSiemens Mobility Austria GmbHDecember, 2020  The digital twin of a road is a virtual replica of its physical assets, infrastructure, vehicles, and the interactions that take place. Digital twins are already used today to develop and test traffic engineering solutions, but we have only just started to realise their potential. In order to design efficient traffic management solutions, it is necess [...]

Traffic on the digital road2020-12-21T05:47:59-03:00

Realer than real: transport models join forces with driving simulators

Realer than real: transport models join forces with driving simulators By Gavin JackmanAimsun LtdNovember, 2020  As more companies combine their driving simulators with the power of traffic simulation, the quality and realism of testing continues to improve. Driving simulators are a cost-effective way to test human reactions to differing vehicle technology and road conditions – transport modeling plays an important role in making the virtual driving environment feel as real as possible.Understan [...]

Realer than real: transport models join forces with driving simulators2020-11-20T13:01:01-03:00

Aimsun looks ahead to Bergen traffic deal

Aimsun looks ahead to Bergen traffic deal By Adam HillITS InternationalOctober 5, 2020 Aimsun is to pilot a traffic management system next year in Norway’s second-largest city, Bergen. Predictive contract with Norwegian transport authority is part of EU’s NordicWay 3. The Aimsun Live project for the Norwegian Public Roads Administration (NPRA) will focus on tunnel closure management and predicting the effects of re-routing, particularly in Damsgårdstunnelen and Løvstakktunnelen. The [...]

Aimsun looks ahead to Bergen traffic deal2020-10-05T09:28:05-03:00

Modeling interaction with driverless vehicles

Modeling interaction with driverless vehicles By Paolo Rinelli,Global Head of Product Management,AimsunAutonomous Vehicle InternationalOctober 2020  A new software update that enables advanced pedestrian simulation allows modelers to fully analyze potential CAV driving scenariosThe latest release for Aimsun’s mobility modeling software – Aimsun Next – includes a series of smart features to help modelers understand the movement of pedestrians, cyclists and vehicles as well as their interaction wi [...]

Modeling interaction with driverless vehicles2020-09-25T06:28:23-03:00
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