Optimizing distribution of metered traffic flow in perimeter control: Queue and delay balancing approaches
Optimizing distribution of metered traffic flow in perimeter control: Queue and delay balancing approaches
An extended Kalman filter approach for real-time state estimation in multi-region MFD urban networks
An extended Kalman filter approach for real-time state estimation in multi-region MFD urban networks
Low Emission Zones: assessing their environmental impact
Simulation is an invaluable tool for supporting the definition of effective emissions policies. Aimsun helps you compare the effectiveness of different measures and assess related impacts, so you can keep pollution within legal thresholds without compromising on mobility.
Wiesbaden digitization project wins World Smart City Award
November, 2022: Yunex Traffic and Aimsun win the Mobility Award at Smart City Expo in Barcelona for the “Digitization of Traffic” (DIGI-V) project in Wiesbaden.
Tactical Adelaide Model: an industry-leading initiative
November, 2022: Transport modelling is a crucial factor in supporting urban design and investment decisions, examining the impact of different land use planning decisions and managing traffic control systems.
Aimsun Celebrates its 25th Anniversary
November, 2022: On Friday 11th November, Aimsun celebrates 25 years in business. The company has grown from a university research spinoff to an international leader in mobility planning and transport management technology.
John Doe BC
Simulation and AI for intelligent mobility John Doe Job Title john.doe@aimsun.com John Doe Aimsun SLU Ronda Universitat 22 B Barcelona 08007 Spain Add to your contacts dots-blue
Seamless door-to-door air travel
How the IMHOTEP research project is using simulation technology to improve airport management and ease the many pain points for customers traveling to and from busy airports.
New dual role for Karen Cheung
October, 2022: Karen has taken up an additional role as the Managing Director for the Yunex Traffic (locally known as Yutraffic)
Real-time simulation training for traffic managers
When Main Roads Western Australia installed a new traffic management system, their staff needed to learn how to use it in a realistic but risk-free environment – simulation training was the perfect solution.
Taking cost-benefit analysis to the next dimension
In this new article, Mark Brackstone takes a look at how this EU-funded research group has taken cost-benefit analysis to the next level.
Checking Real Data Sets for Consistency
Mohammad Saifuzzaman shows how the Aimsun Real Data Set Checker makes it quicker and easier to create clean datasets and examines some different use cases.
Running a simulation in Aimsun Next connected to SCATSim
Dimitris Triantafyllos explains how to run a micro or meso simulation in Aimsun Next connected to SCATSim, a suite of software modules designed to emulate the SCATS adaptive traffic control system.
Demand Responsive Transport: flexible tools for planning and operational solutions
The MultiDEPART team developed tools to plan, manage and monitor DRT solutions in Lisbon, Barcelona Metropolitan Area and Thessaloniki, targeting PTAs and facilitating the harmonization and scalability of DRT services across European cities.
My model is in the Atlantic Ocean
“My model is in the Atlantic Ocean!”
Tessa Hayman guides you on how to set the coordinate reference system correctly in your Aimsun Next model.
Automatic model file management
Dimitris Triantafyllos explains how to use the Aimsun Next project folder structure to automatically manage model files.
Aimsun is now part of Atlantia
July, 2022: Atlantia has finalized the acquisition of Yunex Traffic from Siemens Mobility. As part of Yunex Traffic Group, this marks the beginning of a new chapter for Aimsun too.
Abu Dhabi ITC showcases modelling framework
June, 2022: We were honoured to attend the recent traffic studies seminar hosted by the Abu Dhabi Integrated Transport Centre (ITC).
Developing a Multilevel Decision Support Tool for Urban Mobility
Towards ML-based real-time traffic simulation
Towards ML-based real-time traffic simulation