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)


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.


Traffic lights Green light Assistant Application App Field test 


  1. 1.
    Krause, M., Bengler, K.: KOLIBRI – Ampelassistenz für die Landstraße auf einem Smartphone. Zeitschrift für Verkehrssicherheit 60(3), 135–141 (2014)Google Scholar
  2. 2.
    Aliubavicius, U., Obermaier, J., Fourati, W., Manolis, D., Michailidis, I., Diakaki, C., Kosmatopoulos, E., Krause, M.: Use of system of systems and decentralized optimization concepts for integrated traffic control via dynamic signalization and embedded speed recommendation (submitted). In: Proceedings of 6th Transport Research Arena, 18–21 April 2016, Warsaw, Poland (2016)Google Scholar
  3. 3.
    Sangi, R., Schild, T., Daum, M., Fütterer, J., Streblow, R., Müller, D., Michailidis, I., Kosmatopoulos, E.: Simulation–based implementation and evaluation of a system of systems optimization algorithm in a building control system. In: MED 2016: The 24th Mediterranean Conference on Control and Automation (submitted), Athens, Greece, 21–24 June 2016Google Scholar
  4. 4.
    Dinkel, A., Krause, M., Bengler, K., Ettinger, R., von Dobschütz, A., Bölling, F.: Cooperative optimization of traffic signal control and driver assistance outside urban areas. In: mobil.TUM 2013 (International Scientific Conference on Mobility and Transport), Munich (2013)Google Scholar
  5. 5.
    Krause, M., Weichelt, S., Bengler, K.: Malfunction of a traffic light assistant application on a smartphone. In: Proceedings of the European Conference on Cognitive Ergonomics (ECCE) 2015. ACM Digital Library (2015)Google Scholar
  6. 6.
    Krause, M., Knott, V., Bengler, K.: Implementing the tactile detection task in a real road experiment to assess a traffic light assistant. In: Miller, L., Culén, A.L. (eds.) ACHI 2015, The Eighth International Conference on Advances in Computer-Human Interactions, 22–27 February, Lisbon, pp. 43–38. IARIA XPS Press (2015). ISSN: 2308-4138, ISBN: 978-1-61208-382-7Google Scholar
  7. 7.
    Krause, M., Yilmaz, L., Bengler, K.: Comparison of real and simulated driving for a static driving simulator. Adv. Hum. Aspects Transp.: Part II 8, 29 (2014)Google Scholar
  8. 8.
    Krause, M., Bengler, K.: Subjective ratings in an ergonomic engineering process using the example of an in-vehicle information system. In: Kurosu, M. (ed.) HCII/HCI 2013, Part II. LNCS, vol. 8005, pp. 596–605. Springer, Heidelberg (2013)Google Scholar
  9. 9.
    Kanz, C., Marth, C., von Coelln, C.: Liability in the case of co-operative traffic and driver assistance systems. Final report (German), Research Project FE 89.0251/2010. BASt-Beiträge (2012/2013)Google Scholar

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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