Multi-modal transport planning
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Extraction of travel demand information from anonymised mobile phone data and its integration in transport simulation systems and interactive visualisation tools.
Aimsun is committed to a new generation of multimodal transport planning tools and collaborates with stakeholders to develop innovative methodologies to integrate data into a mobility modelling platform.
Aimsun is proud to work with universities and research institutes to test cutting-edge technologies to successfully integrate connected and autonomous vehicles (CAVs) into the transportation network.
Aimsun facilitates the development of traffic simulation frameworks, including data streams of connected transport systems, modules for pattern detection and modules for demand and supply management.
Extraction of travel demand information from anonymised mobile phone data and its integration in transport simulation systems and interactive visualisation tools.
Holistic Approach for Providing Spatial & Transport Planning Tools and Evidence to Metropolitan and Regional Authorities to Lead a Sustainable Transition to a New Mobility Era
Integrated Multimodal Airport Operations for Efficient Passenger Flow Management
New tools to plan, manage and monitor demand-responsive transport solutions in Lisbon, Barcelona, and Thessaloniki.
SPINE proposes smart public transport initiatives to help European cities achieve climate neutrality.
The C-Roads Platform is a cooperation of EU member states and roadoperators working on the deployment of harmonized and interoperable C-ITSservices in Europe.
Development of services and capabilities that link user needs and system requirements for implementation of connected and autonomous vehicles in the UK.
Successful completion of a 230-mile journey across the UK for an autonomous, human-like vehicle in real-world driving conditions.
Processing existing datasets to understand the parameters for modelling human drivers and how to extend them to create vehicle rules for CAVs.
Development and application of Aimsun to the assessment of autonomous and connected vehicles.
A Munich testbed for connected and automated vehicles, including a lane-free driving model.
Distributed Intelligence and Technology for Traffic and Mobility Management
Next generation traffic management for empowering CAVs integration, cross-stakeholders collaboration and proactive multi-modal network optimization
An open, sustainable, ubiquitous data and service ecosystem for efficient, effective, safe, resilient mobility in metropolitan areas
Enhanced data processing techniques for dynamic management of multimodal traffic
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