Skip to main content

Research on Automotive Parts Abradability on Driving Behavior Analysis

  • Conference paper
Internet of Things

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 312))

  • 7326 Accesses

Abstract

This paper analyzed the impact of driver’s behaviors on automotive parts performance, and found the appropriate indictor for measurement of wear degree of automotive parts. What’s more, the quantitative calculation model of wear degree of automotive parts on driving behavior analysis was presented in this article. The model is useful to study for offering the different initiative service to customers.

2010, Natural Sciences Foundation of China, project number: 71071122. Hubei Science and Technology Agency Research, project number 20102s0014.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wang, H., Yuan, H.: Service-mining Based on Customer Value Analysis. In: 2007 International Conference on Management Science & Engineering (14th), August 20-22, pp. 109–114 (2007)

    Google Scholar 

  2. Wang, H., Yu, L.: Research on the model of service mining under active service-oriented. Wuhan University of Technology (Information Management and Engineering) 32(2) (2010)

    Google Scholar 

  3. Pohl, A., Steindl, R., Reindl, L.: The ‘Intelligent Tire’ Utilizing Passive SAW Sensore-Measurement of Tire Friction. IEEE Transition on Instrument and Measurement 6(48), 1041–1046 (1999)

    Article  Google Scholar 

  4. Yilmaz, V., Celik, H.: A model for risky driving attitudes in Turkey. Social Behavior and Personality 32(8), 791–796 (2004)

    Article  Google Scholar 

  5. Yu, S.Z.: Auto-Theories (the third editor), pp. 74–75. Hong Xie Tech Publication, Beijing (2000)

    Google Scholar 

  6. Tian, L., Zhi, F.H., Chen, D.Z.: Customers Based on Classification Method of Fuzzy Neural Network. Productivity 12, 120–121 (2007)

    Google Scholar 

  7. Li, Y.Y., Yun, J.: Multiple Attribute Summary of Comprehensive Evaluation Index System Theory. Wuhan University of Technology Information and Management Engineering 2(31), 305–309 (2009)

    Google Scholar 

  8. Lachmbe, J.: Tire model for simulation of vehicle motion on high and low friction road surface. In: Proceeding of 2000 Winter Simulation Conference, pp. 1025–1034 (2000)

    Google Scholar 

  9. Wahab, T.G., Wen, K.N.: Technol. Understanding driver behavior using multi-dimensional CM CMAC. In: 2007 International Conference on Information, Communications & Signal Processing (6th), December 10-13, pp. 1–5 (2007)

    Google Scholar 

  10. Sevrndenius, J.: Wheel, model review and friction estimation. Technical Report ISRN Association, Cambridge, UK (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, H., Zhang, X. (2012). Research on Automotive Parts Abradability on Driving Behavior Analysis. In: Wang, Y., Zhang, X. (eds) Internet of Things. Communications in Computer and Information Science, vol 312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32427-7_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32427-7_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32426-0

  • Online ISBN: 978-3-642-32427-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics