Oct. 2020: Las conclusiones de este proyecto para crear confianza pública, regulatoria y de mercado en los vehículos autónomos se muestran en un nuevo museo virtual. ¡Haz el recorrido!
Mark Brackstone presented this OmniCAV paper at the 2020 edition of the IEEE ITS Conference.
ITS International Magazine, July 2020: Real world testing for CAVs has its limits. Gavin Jackman explains the key role of virtual testing.
Junio de 2020: SAFE-UP desarrolla nuevos instrumentos y métodos de ensayo para hacer frente a los problemas de seguridad que plantean los vehículos conectados y autónomos.
May 2019: The final release of Aimsun Next 8.4 features enhanced modeling capability for connected and autonomous vehicles at different levels of detail.
The Engineer, Mar 2019: David Fowler explores how the LAMBDA-V project is helping driverless cars to understand and embrace the unwritten rules of human driving behavior.
Feb 2019: Our main area of focus in this new public beta is to enhance modeling capability for connected and autonomous vehicles at different levels of detail.
VDI nachrichten, 24. Januar 2019: Die Digitalisierung bietet Chancen für Kommunen. Weltweit haben sich Städte auf den Weg zur Smart City gemacht. Doch Schnelligkeit allein entscheidet nicht.
Intelligent Transport Magazine, Jan 2019: Andy Graham, LAMBDA-V Project Manager, details how collecting the informal rules of driving could help highly autonomous vehicles learn about how human drivers really use UK roads.
TaaS Magazine, Dec 2018: The latest mobility modeling software creates a perfect virtual copy of our transportation networks, where we can safely explore the limits of autonomous vehicle technology.
Nov 2018: Aimsun is part of this £5.7m study on how European cities can create new systems to accommodate the forecast growth of driverless vehicles, as well as autonomous freight and logistics.
HumanDrive blog, Nov 2018: Can CAVs stop accidents and massively increase capacity? Aimsun and Highways England have used traffic modelling to try to find the answers.
Nov 2018: Humanizing autonomous vehicles: this one-year feasibility study uses massive data sets to evaluate how human driver behavior can be analysed and used to accelerate the adoption of CAVs.
Research aims to build on existing models of driver and pedestrian behavior, extending them with methods and knowledge from cognitive neuroscience and machine learning.
Aimsun is part of the consortium embarking on a UK government-funded project to create a high fidelity simulation environment to test connected and autonomous vehicles.
TRB has appointed Mark Brackstone to its Standing Committee on Traffic Flow Theory and Characteristics.