Skip to main content

Evaluation of Traffic Control Systems as ITS Infrastructure for Automated Driving

  • Conference paper
  • First Online:
Intelligent Transport Systems – From Research and Development to the Market Uptake (INTSYS 2017)

Abstract

Vehicles with automated driving systems require more sensor information about their environment than non-automated vehicles. Detection with camera, lidar or other sensors is already state of the art in newer vehicles. As of today though, they only work in close proximity and lack the incorporation of existing traffic information from local authorities.

In this paper, we present a novel way of providing traffic management information to vehicles, sent directly from Road Authorities. We use existing ITS (Intelligent Transport Systems) infrastructure and assess how information on traffic control and re-routes, displayed on variable message signs, can be used as sensory input for vehicles.

We examine real world data from a South German Road Authority. The evaluation of latency, reliability and integrity of traffic information has been conducted end-to-end as well as between the six stations that are involved. We show the general feasibility of our proposal and discuss which obstacles need to be overcome for a wider use in other road systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    An industrial standard with internal specification only.

References

  1. Mathias, M., et al.: Traffic sign recognition – How far are we from the solution? In: The 2013 International Joint Conference on Neural Networks (IJCNN). IEEE (2013)

    Google Scholar 

  2. Waite, S.: FPGA-based traffic sign recognition for advanced driver assistance systems. J. Transp. Technol. 3(1), 1 (2012)

    MathSciNet  Google Scholar 

  3. Houben, S., et al.: Detection of traffic signs in real-world images: the German traffic sign detection benchmark. In: The 2013 International Joint Conference on Neural Networks (IJCNN). IEEE (2013)

    Google Scholar 

  4. Saadna, Y., Behloul, A.: An overview of traffic sign detection and classification methods. Int. J. Multimed. Inf. Retrieval 6(3), 193–210 (2017)

    Article  Google Scholar 

  5. Radu, T., Zimmermann, K., Van Gool, L.: Multi-view traffic sign detection, recognition, and 3D localisation. Mach. Vis. Appl. 25(3), 633–647 (2014)

    Article  Google Scholar 

  6. Mogelmose, A., et al.: Learning to detect traffic signs: comparative evaluation of synthetic and real-world datasets. In: 21st International Conference on Pattern Recognition (ICPR). IEEE (2012)

    Google Scholar 

  7. Faisstnauer, C.: Final report on demonstration. Report D6100, COOPERS (2010)

    Google Scholar 

  8. ISO TS 19321: Intelligent transport systems – Cooperative ITS – Dictionary of in-vehicle information (IVI) data structures (2015)

    Google Scholar 

  9. ECo-AT, SWP2.1 Use Cases, In-Vehicle Information - IVI, Use Case and Functional Definition, WP2 System Definition, Version 04.00 (2017)

    Google Scholar 

  10. Stevens, A., Hopkin, J.: Benefits and deployment opportunities for vehicle/roadside cooperative ITS. In: IET and ITS Conference on Road Transport Information and Control, RTIC (2012)

    Google Scholar 

  11. Mobility Data Marketplace. http://www.mdm-portal.de/en/the-mdm.html

  12. DATEXII Standard. http://www.datex2.eu/content/standardization

Download references

Acknowledgment

This project was partially funded by the Bavarian Ministry of Economic Affairs and Media, Energy and Technology within the High Performance Center - Secure Networked Systems.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gereon Weiss .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Franze, J., Seydel, D., Weiss, G., Haspel, U. (2018). Evaluation of Traffic Control Systems as ITS Infrastructure for Automated Driving. In: Kováčiková, T., Buzna, Ľ., Pourhashem, G., Lugano, G., Cornet, Y., Lugano, N. (eds) Intelligent Transport Systems – From Research and Development to the Market Uptake. INTSYS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 222. Springer, Cham. https://doi.org/10.1007/978-3-319-93710-6_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-93710-6_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93709-0

  • Online ISBN: 978-3-319-93710-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics