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Releasing a Traffic Light Assistance Application for Public Testing

  • Michael KrauseEmail author
  • Walid Fourati
  • Klaus Bengler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9733)

Abstract

The paper’s main focus is the requirements and implementations for creating a downloadable traffic light application from a preexisting interaction prototype. The background is the preparation of a public experiment on a test section of a rural road. The paper also contains a proposed taxonomy for classifying Traffic Light Assistants (TLAs). According to this taxonomy, the planned experiment is categorized as a technical feasibility study combined with public participation (field test) in real traffic on a rural road, with a bidirectional internet-connected smartphone application, which implements a full-featured, single-way TLA for one/next traffic light. The signal plans are determined, but should be dynamically switched and optimized depending on traffic. The smartphone-based floating car data doesn’t influence the traffic lights, but should improve the speed recommendations for other cars with regard to waiting queues. The TLA is partly context aware (waiting queues, fixed speed limits) and features a speed alert.

Keywords

Traffic lights Green light Assistant Application App Field test 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Institute of ErgonomicsTechnische Universität MünchenGarchingGermany
  2. 2.TRANSVER GmbHMunichGermany

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