Skip to main content

Cooperative Ecology Human–Machine Interfaces for Safe Intelligent Transport Systems: Cloud-Based Software Case

  • Chapter
  • First Online:
Green IT Engineering: Social, Business and Industrial Applications

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 171))

  • 1191 Accesses

Abstract

The analysis of the available solutions regarding the cooperative intelligent transport systems (ITS) and their human–machine interfaces (HMI) has been conducted. The standards and recommendations in the area of transport systems interfaces design is analysed. So-called ecology HMI and requirements for such interfaces and features of the application for ITS are discussed. Profiling of the requirements for the cooperative human–machine interface (CHMI) and the cooperative ecology human–machine interface (CEHMI) for such systems including the requirements to usability and safety based on a set of standards for ITSs has been performed. An approach and a design technique of human–machine interfaces for ITSs based on designing the cooperative human–machine interfaces for intelligent transport systems are suggested. The architecture of cloud-based CHMI for intelligent transport systems that consists of three main parts: client end, server end, and core-project and includes data models for the communication protocol and the common utility functions is developed. The prototype of the software system for CHMI for ITS examined in the laboratory conditions is described. The assessment using the GOMS method allowed to calculate the efficiency to execute the task of user interaction with the system.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Orekhova, N., Kharchenko, V., Orekhov, A.: Human-machine interface quality assessment techniques: green and safety issues. In: Proceeding of the 10th on Digital Technologies International Conference “DT 2014”, pp. 259–264. Zilina, Slovakia (2014)

    Google Scholar 

  2. Kharchenko, V., Illiashenko, O.: Concepts of green IT engineering: taxonomy, principles and implementation. In: Kharchenko, V. et al. (eds.) Green IT Engineering: Concepts, Models, Complex Systems Architectures. Studies in Systems, Decision and Control, 74, Springer, pp. 3–20 (2017)

    Google Scholar 

  3. Green U-Home Terminal. [Online]. Available: http://pacificcontrols.net/products/green-u-home-terminal.html

  4. Doukas, N.: Technologies for greener internet of things systems. In: Kharchenko, V. et al. (eds.) Green IT Engineering: Components, Networks and Systems implementation. Studies in Systems, Decision and Control, pp. 23–42. Springer (2017)

    Google Scholar 

  5. Safety Vehicle Adaptive Interface Technology (Save-IT). [Online]. Available: http://www.volpe.dot.gov/safety-management-and-human-factors/surface-transportation-human-factors/safety-vehicle-using

  6. The Personal Adaptive In-Car HMI: Integration of External Applications for Personalized Use. [Online] Available: http://link.springer.com/chapter/10.1007%2F978-3-642-28509-7_5#

  7. Anokhin, A., Ivkin, A.: Human-machine interface to support cognitive operator NPP. Nucl. Meas. Inf. Technol. 1(41), 57–66 (2012)

    Google Scholar 

  8. Anokhin, A., Marshall, E.: Adaptive human-system interface for control of complex systems (in application to nuclear power plant), In: Proceedings of the 21st European Meeting on Cybernetics and System Researches “EMCSR 2012”, pp. 185–188. Vienna, Austria. 10–13 April (2012)

    Google Scholar 

  9. Bodyanskiy, Y., Vynokurova, O., Pliss, I., Peleshko, D.: Hybrid adaptive systems of computational intelligence and their on-line learning for green IT in energy management tasks. In: Kharchenko, V. et al. (eds.), Green IT Engineering: Concepts, Models, Complex Systems Architectures. Studies in Systems, Decision and Control, 74, pp. 229–246. Springer (2017)

    Google Scholar 

  10. European Statement of Principles, European Statement of Principles for in-vehicle information and communication systems (1999)

    Google Scholar 

  11. HASTE, Deliverable 4—Recommended Methodology for a preliminary safety analysis of the HMI of an IVIS (2005)

    Google Scholar 

  12. Stoltzfus, J.: Cloud Computing for Vehicles: Tomorrow’s High-Tech Car. [Online] (2012). Available: http://www.techopedia.com/2/28137/trends/cloudcomputing/cloud-computing-for-vehicles-tomorrows-hightech-car

  13. Iqbal, A., Pattinson, C., Kor, Ah-Lian.: Introducing controlling features in cloud environment by using SNMP. In: Kharchenko, V. et al. (eds.), Green IT Engineering: Concepts, Models, Complex Systems Architectures. Studies in Systems, Decision and Control, 74, pp. 147–160. Springer (2017)

    Google Scholar 

  14. Cloud Computing can Reengineer the Car Interiors. [Online] (2012). Available: http://www.cbrdigital.com/2012/01/16/cloud-computing-canreengineer-the-car-interiors.html

  15. Walford, L.: Volvo New Connected Car Features-Magnets, Real-Time Cloud Road Data and Driver Sensing. [Online]. Available: http://www.autoconnectedcar.com/2014/03/volvo-newconnected-car-features-magnets-real-time-cloud-road-datadriver-sensing/ (2014)

  16. Sheehan, M Cloud Computing Cars and Mobile Devices. [Online] (2011). Available: http://scoop.intel.com/cloud-computing-cars-andmobile-devices/

  17. Kharchenko, V., Orekhov, A., Brezhnev, E., Orekhova, A., Manulik, V.: The cooperative human-machine interfaces for cloud-based advanced driver assistance systems: dynamic analysis and assurance of vehicle safety. In: Proceedings of IEEE East-West Design and Test Symposium “EWDTS’2014”, pp. 82–86. IEEE Kyiv, Ukraine (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aleksandr Orekhov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Orekhov, A., Stadnik, A., Kharchenko, V. (2019). Cooperative Ecology Human–Machine Interfaces for Safe Intelligent Transport Systems: Cloud-Based Software Case. In: Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (eds) Green IT Engineering: Social, Business and Industrial Applications. Studies in Systems, Decision and Control, vol 171. Springer, Cham. https://doi.org/10.1007/978-3-030-00253-4_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00253-4_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00252-7

  • Online ISBN: 978-3-030-00253-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics