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Development and application of Aimsun to the assessment of autonomous and connected vehicles.
Research projects Cooperative, connected and automated mobility (CCAM)
AUTOMATED DRIVING
SIMULATION
CONNECTED AND AUTONOMOUS VEHICLES (CAVS)
The TEMPUS consortium aims to determine how digitization can help Munich develop a sustainable, low-emission transportation system that’s safe and accessible.
Thirteen partners from industry, research, and administration have been working together on the TEMPUS project since 2021. They are setting up a test field in Munich and the surrounding area to evaluate a wide range of use cases involving automated driving functions and innovative mobility services.
TEMPUS links urban and rural areas and tests different applications on more than 100 kilometers of testing routes on urban roads and highways. In the test area, both WLAN-based ITSG5 technology and mobile radio-based CV2X technology can be used as a short-range transmission method.
The aim is to provide a simulation environment for assessing the impact of connected and autonomous vehicles (CAVs) on traffic flow. Added to the simulation will be advanced traffic management strategies that take lane-free traffic into consideration; in other words, the concept of lane discipline will be removed.
The Aimsun team will provide support for the integration of a lane-free driving model with advanced traffic control measures in the context of CAVs, such as shared space, dynamic variation of lane width, and lane-free intersection management.
Moreover, new functionalities will be added to the Aimsun Next environment to support the import of OpenDrive maps.
Development and application of Aimsun to the assessment of autonomous and connected vehicles.
Processing existing datasets to understand the parameters for modelling human drivers and how to extend them to create vehicle rules for CAVs.
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