HarmonizeDD - Continuous support of connected and automated driving in mixed traffic with heterogeneously equipped vehicles
Project manager: Dipl.-Ing. Mario Krumnow
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Project duration: 04/2017 - 06/2019
TUD-internal project partners: Fakultät Verkehrswissenchaften "Friedrich List" Professur für Fahrzeugmechatronik
External project partners: BMW AG, Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme Dresden (IVI), IAV GmbH Ingenieurgesellschaft Auto und Verkehr, MUGLER AG, Noritel Mobile Kommunikation GmbH, Preh Car Connect GmbH, Vodafone GmbH, IVM Institut für Vernetzte Mobilität gGmbH, Landeshauptstadt Dresden (Assoziierter Partner), Vodafone-Stiftungslehrstuhl Mobile Nachrichtensysteme (Assoziierter Partner)
Brief description: In HarmonizeDD, new functions are being developed to support automated and conventional vehicles in urban areas, helping to avoid mutual interference and information differences. These functions are based on a mobile cloud and edge cloud for the area-wide provision of basic services as well as on local clouds in roadside units with an extended range of functions on specific routes. Enhanced functions for automated driving and new assistance functions for conventional vehicles that improve interaction in mixed traffic interact seamlessly. On the one hand, the complementary use of different communication technologies will provide direct benefits for many road users with a view to future regular operation. On the other hand, innovative approaches for embedding automated vehicles in the traffic flow can be realized, which place increased demands on communication and demonstrate the potential and application maturity of the technologies. The developed approaches will be experimentally investigated in the Digital Test Field Dresden/Saxony in order to derive conclusions for the development of future traffic and communication-related urban infrastructures.
The TU Dresden is involved in HarmonizeDD with two professorships.The research focus of the Chair of Traffic Control Systems and Process Automation in this project was on the one hand the traffic flow simulation of the study corridors in the digital test area Dresden, in particular with regard to the existing traffic infrastructure, as well as a traffic demand modeling based on a traffic volume map and data from permanent counting stations. On the other hand, a method for the prognosis of signal durations of traffic-dependent light signal systems was developed, which uses both historical control data and current status data (detector inputs, signal group status, etc.) and provides a prognosis of the future signal status depending on the current second of circulation.
Funding: BMVI funding guideline "Automated and Connected Driving on Digital Test Fields in Germany", funding code: 16AVF1024I