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TU Berlin

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BeIntelli

Lupe

 

 

Project content

Motivation

The mobility of the future will be shaped by artificial intelligence (AI) and digitization. Autonomous driving will make traffic more efficient, safer, more environmentally friendly and more cost-effective. Completely new opportunities for mobility and logistics will open up. An important prerequisite for the acceptance of this development is both targeted testing in real test environments and the demonstration of this technology to the public.

The newly approved research project "BeIntelli" aims to develop and practically test the possibilities of AI for the mobility of the future on the basis of platform economy.

Goal of the project

In the BeIntelli project, a comprehensive test track for autonomous driving is being set up in the center of Berlin, on which test vehicles will be deployed in various urban traffic use cases. With the help of sensor technology, digitally networked vehicles and cloud-based user platforms, artificial intelligence methods can be used to predict traffic events and control mobility. For example, autonomous delivery of parcels over the last mile is being tested in the B2B and B2C segments of CEP service providers. This is intended to achieve five core objectives:

  • Creating technological innovations for everyday use
  • Provision of the required infrastructure
  • Testing and validation of autonomous vehicles on the test field
  • Establishment of a platform economy for the new mobility
  • Public presentation of autonomous mobility in a real-world environment to engage the public

Project sponsors and partners

Lupe

Sponsor: 

Federal Ministry of Transport and Digital Infrastructure

Partner:

Konsortium: TU Berlin, DAI-Labor, Samsung Cheil GmbH, ADAC, BVG, Bezirksamt Charlottenburg-Wilmersdorf, Continental, DB Regio Bus Ost, GT ARC, IAV, T Systems, TÜV Nord, VMZ

Project duration

01.01.2021 – 30.06.2023

Zusatzinformationen / Extras

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Ansprechpartner

Julian Maas, M.Sc.
+49 (0)30 314 28438
Sprechstunde: Nach Vereinbarung
Room Raum: H9103