Advertisement

Classification of Urban and Rural Routes Based on Motorcycle Riding Behaviour

  • Gerhard NavratilEmail author
  • Ioannis Giannopoulos
  • Gilbert Kotzbek
Conference paper
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

A basic problem in navigation is the selection of a suitable route. This requires a determination of costs or suitability. There are approaches for many standard situations, e.g., the shortest route for pedestrians, the fastest route for cars, a physically possible and legal route for trucks, or the safest route for bicycle riders. However, not much research has been done yet for motorcycle riders. Published approaches rely on interpretation of geometry, interviews, or user feedback. None of these approaches is precise and scalable. Since modern motorcycles have an increasing number of internal sensors (e.g., lean angle sensors for curve ABS), they could provide the data required for a classification of route segments. The combination with a navigational device allows to georeferenced the data and thus attach riding characteristics to a specific road segment. This work sketches the classification concept and presents data from a real-driving experiment using an external IMU.

Keywords

Routing Inertial measurement unit Motorcycle Classification Navigation 

References

  1. De Filippi P, Tanelli M, Corno M, Savaresi SM (2011) Enhancing active safety of two-wheeled vehicles via electronic stability control. In: Proceedings of the 18th world congress, The International Federation of Automatic Control, Milano, Italy, pp 638–643Google Scholar
  2. Goodchild MF (2007) Citizens as sensors: the world of volunteered geography. GeoJournal 69(4):211–221CrossRefGoogle Scholar
  3. Hochmair H, Navratil G (2008) Computation of scenic routes in street networks. In: Car A, Griesebner G, Strobl J (eds) Geospatial crossroads @ GI_Forum. Wichmann, Berlin, pp 124–133Google Scholar
  4. Klingspor V (2018) Berechnung populärer Routen. In: Strobl J, Zagel B, Griesebner G, Blaschke T (eds) AGIT - Journal für Angewandte Geoinformatik. Wichmann, Berlin, pp 189–198Google Scholar
  5. Litzinger P, Navratil G, Sivertun Ǻ, Knorr D (2012) Using weather information to improve route planning. In: Gensel J, Josselin D, Vandenbroucke D (Hrg) Bridging the geographic information sciences. Springer, Lecture notes in geoinformation and cartography/7418 (2012), ISBN: 978-3-642-29062-6; pp 199–214Google Scholar
  6. McKenzie G, Janowicz K, Seidl D (2016) Geo-privacy beyond coordinates. In: Proceedings of the 2016 AGILE conference, pp 157–175Google Scholar
  7. Navratil G (2012) Curvyness as a parameter for route determination. In: Jekel T, Car A, Strobl J, Griesebner G (eds) GI_Forum 2012 geovizualisation, society and learning. Wichmann, Berlin, pp 355–364Google Scholar
  8. Partusch A, Navratil G, Fiby H (2014) A Framework to determine the spatial variation of the optimal path. In: Vogler R, Car A, Strobl J, Griesebner G (eds) GI_Forum 2014 geospatial innovation for society. Wichmann, Berlin, pp 155–164Google Scholar
  9. Seiniger P, Winner H, Gail J (2008) Future vehicle stability control systems for motorcycles with focus on accident prevention. In: Proceedings of the 9th Biennial ASME conference on engineering systems design and analysis, ACSME, Haifa, Israel, 10 pGoogle Scholar
  10. Shannon CE (1949) Communication in the presence of noise. Proc Inst Radio Eng 37(1):10–21Google Scholar
  11. Spiegel B (2002) Die obere Hälfte des Motorrads. Motorbuch Verlag, 296 pGoogle Scholar
  12. Zeile P, Resch B, Loidl M, Petutschnig A, Dörrzapf L (2016) Urban emotions and cycling experience—enriching traffic planning for cyclists with human sensor data. In: Car A, Griesebner G (eds) GI_Forum. Wichmann, Berlin, pp 204–216Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Gerhard Navratil
    • 1
    Email author
  • Ioannis Giannopoulos
    • 1
  • Gilbert Kotzbek
    • 1
  1. 1.Department for Geodesy and GeoinformationVienna University of TechnologyViennaAustria

Personalised recommendations