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October 2023
Journal Article
Title

Autonomous shuttles in Bavarian Bad Birnbach

Title Supplement
Research for an AI-supported future of public transport in rural areas
Abstract
Can artificial intelligence (AI) improve the use of autonomous minibuses? Shuttles that know when and where they are needed – that is the ambition in the KI4autoBUS research project. More efficient fleet control, including design and use for people with mobility impairments, is being developed and tested as part of the project. For the project, the autonomous buses in use in Bad Birnbach (Lower Bavaria) are being converted to be barrier-free and temporarily controlled in the background with innovative AI software. The result is an AI-driven software that optimally adapts the limited number of shuttles to the needs of the users, creating an integrated and efficient on-demand mobility service through targeted transportation planning and fleet optimization.
The project was funded by the Bavarian Ministry of Economic Affairs, Regional Development and Energy (StMWi) as part of the Digitization funding program, in the Information and Communication Technology funding area.
Author(s)
Wagner-Hanl, Nicole  
Fraunhofer-Institut für Materialfluss und Logistik IML  
Wagner, Julius
Rüpplein, Leandra
Huber, Thomas
Journal
Internationales Verkehrswesen. International transportation  
Language
English
Fraunhofer-Institut für Materialfluss und Logistik IML  
Keyword(s)
  • Autonomous mobility

  • Artificial Intelligence

  • AI mobility

  • Barrierfree mobility

  • On-demand mobility

  • Reinforcement learning

  • Predictive demand

  • KI4autoBUS

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