New Concepts to Improve Mobility by Digitization and Virtualization: An Analysis and Evaluation of the Technical Feasibility | SpringerLink
Skip to main content

New Concepts to Improve Mobility by Digitization and Virtualization: An Analysis and Evaluation of the Technical Feasibility

  • Conference paper
  • First Online:
Intelligent Transport Systems (INTSYS 2021)

Abstract

Traffic infrastructures are one of the central elements of today’s mobility. They are crucial for road traffic and offer road users space and orientation for mobility to move within public space. Road infrastructure is currently designed for non-autonomous vehicles. To be able to support new technologies and services related to autonomous driving, adaptation and enhancement of the capability of current traffic infrastructures is necessary. An innovative solution is the digitization and virtualization of conventional traffic infrastructures. In this paper, the possibilities of digitization and virtualization of current traffic infrastructure elements are presented and discussed in the form of an implementation concept. The paper illustrates the most significative use cases, where digitization and virtualization may lead to the improvements in the efficiency of traffic flow and management. Part of this contribution is also an analysis and evaluation of the technical feasibility of single-use cases for digitizing and virtualizing traffic infrastructures.

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 8579
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 10724
Price includes VAT (Japan)
  • 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

Similar content being viewed by others

References

  1. ViVre Project, 2020–2022. https://verkehrsforschung.dlr.de/en/projects/vivre-virtual-stops-automated-traffic-future. Access 13 Sept. 2021]

  2. Jerbi, M., et al.: An infrastructure-free traffic information system for vehicular networks. In: 2007 IEEE 66th Vehicular Technology Conference. IEEE (2007)

    Google Scholar 

  3. Zhankaziev, S.: Current trends of road-traffic infrastructure development. Trans. Res. Procedia 20, 731–739 (2017)

    Article  Google Scholar 

  4. Farah, H., Erkens, S.M.J.G., Alkim, T., Arem, B.: Infrastructure for automated and connected driving: state of the art and future research directions. In: Meyer, G., Beiker, S. (eds.) Road vehicle automation 4. LNM, pp. 187–197. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-60934-8_16

    Chapter  Google Scholar 

  5. Ranka, S., et al.: A vision of smart traffic infrastructure for traditional, connected, and autonomous vehicles. In: 2020 International Conference on Connected and Autonomous Driving (MetroCAD). IEEE (2020)

    Google Scholar 

  6. Guo, Q., Li, L., Ban, X.: Urban traffic signal control with connected and automated vehicles: a survey. Transp. Res. Part C: Emerg. Technol. 101, 313–334 (2019)

    Article  Google Scholar 

  7. Bhawiyuga, A., Sabriansyah, R.A., Yahya, W., Putra, R.E.: A wi-fi based electronic road sign for enhancing the awareness of vehicle driver. J. Phys. Conf. Ser. 801, 012085 (2017). https://doi.org/10.1088/1742-6596/801/1/012085

    Article  Google Scholar 

  8. Keong, T., Cano, J., Fernandez-Laguia, C.-J., Manzoni, P., Calafate, C.: Wireless digital traffic signs of the future. IET Networks, Bd. 8

    Google Scholar 

  9. Fornauf, L.: Entwicklung einer Methodik zur Bewertung von Strategien für das dynamische Straßenverkehrsmanagement. Technische Universität, Fachgebiet Verkehrsplanung und Verkehrstechnik, Darmstadt (2015)

    Google Scholar 

  10. Ebendt, R.: A flexibly linkable meta layer of geographic features supplementary for driving automation and simulation. In: Driving Simulation and Virtual Reality Conference and Exhibition, DSC 2020 EUROPE, pp. 19–26, 19th Driving Simulation & Virtual Reality Conference & Exhibition (DSC 2020 EUROPE VR), 9.-11. Sept. 2020, Antibes, France, ISBN 978-2-9573777-0-1, ISSN 2115-418X

    Google Scholar 

  11. Richter, A., Löwner, M.-O., Ebendt, R., Scholz, Michael, M.: Towards an integrated urban development considering novel intelligent transportation systems. Technol. Forecast. Soc. Change, 155, 1–14. Elsevier (2020). https://doi.org/10.1016/j.techfore.2020.119970,ISSN0040-1625

  12. Mathur, S., Jin, T., Kasturirangan, N.: ParkNet: drive-by sensing of road-side parking statistics. In: Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services (MobiSys 2010), San Francisco (2010)

    Google Scholar 

  13. Gao, K., Han, F., Dong, P., Xiong, N., Du, R.: Connected vehicle as a mobile sensor for real time queue length at signalized intersections. Sensors, China, 1–22 (2019)

    Google Scholar 

  14. European Transport Safety Council (2019). https://etsc.eu/updated-euro-ncap-tests-reveal-advances-in-traffic-sign-recognition-technology

  15. Saadna, Y., Behloul, A.: An overview of traffic sign detection and classification methods. Int. J. Multimed. Inf. Retrieval 6(3), 193–210 (2017). https://doi.org/10.1007/s13735-017-0129-8

    Article  Google Scholar 

  16. Wali, S., et al.: Vision-based traffic sign detection and recognition systems: current trends and challenges. Sensors, Bd. 19, Nr. 9 (2019)

    Google Scholar 

  17. Bhawiyuga, A., Sabriansyah, R., Yahya, W., Putra, R.: A Wi-Fi based electronic road sign for enhancing the awareness of vehicle driver. J. Phys. Conf. Series, Bd. 801 (2017)

    Google Scholar 

  18. Morold, M., Bachmann, M., Mathuseck, L., David, K.: Automated learning of pedestrian walking speed profiles. In Informatik 2019, Bonn (2019)

    Google Scholar 

  19. simTD: Sichere und intelligente Mobilität - Testfeld Deutschland. http://www.simtd.de. Accessed 20 July 2021

  20. Autopilot. https://autopilot-project.eu/. Zugriff am 20. Juli 2020

  21. Inframix: Road Infrastructure ready for mixed vehicle traffic flows. https://cordis.europa.eu/project/id/723016. Accessed 20 July 2021

  22. Erhart, J., Harrer, M., Rührup, S., Seebacher, S., Wimmer, Y.: Infrastructure support for automated driving: further enhancements on the ISAD classes in Austria. In: Transport Research Arena TRA 2020, Helsinki (2020)

    Google Scholar 

  23. Mate, B., Apostolos, K., Konstantinos, M., Josef, E., Wen, X.: Connected roads of the future use cases, requirements, and design considerations for vehicle-to-everything communications. In: IEEE Vehicular Technology Magazine, 1556–6072/18, September 2018 (2018)

    Google Scholar 

  24. Guidance for day 2 and beyond roadmap CAR 2 CAR Communication Consortium. https://www.car-2-car.org/fileadmin/documents/General_Documents/C2CCC_WP_2072_RoadmapDay2AndBeyond.pdf

  25. Sewalkar, P., Seitz, J.: Vehicle-to-pedestrian communication for vulnerable road users: survey, design considerations, and challenges. Sensors 19(2), 358 (2019). https://doi.org/10.3390/s19020358

    Article  Google Scholar 

  26. Morold, M., Nguyen, Q.-H., Bachmann, M., David, K., Dressler, F.: Requirements on delay of VRU context detection for cooperative collision avoidance. In: 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)

    Google Scholar 

Download references

Acknowledgement

This project has received funding from the Federal Ministry of Transport and Digital Infrastructure (BMVI). The authors would like to thank all project partners who also supported this work with their ideas and contributions. Special thanks go to Dr. Marek Junghans from DLR for reviewing this work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Louis Calvin Touko Tcheumadjeu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 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

Touko Tcheumadjeu, L.C., Stuerz-Mutalibow, K., Hoeing, J., Harmann, D., Glaab, J., Kaul, R. (2022). New Concepts to Improve Mobility by Digitization and Virtualization: An Analysis and Evaluation of the Technical Feasibility. In: Martins, A.L., Ferreira, J.C., Kocian, A. (eds) Intelligent Transport Systems. INTSYS 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 426. Springer, Cham. https://doi.org/10.1007/978-3-030-97603-3_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-97603-3_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97602-6

  • Online ISBN: 978-3-030-97603-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics