New Technologies and Behavior — Problem or Cure?

  • Oliver Carsten
Conference paper


If one is to believe some of the promoters of intelligent transport systems (ITS), telematics applications are some kind of wonder cure for all the evils caused by transport. Intelligent transport systems will reduce travel time, secure dramatic reductions in pollution, reduce the cost of freight operations and at the same time achieve dramatic improvements in traffic safety. ERTICO in its vision for Europe and VERTIS in its goals for Japan set remarkably similar targets for accident reduction. ERTICO predicts that ITS will make a major contribution to reducing road fatalities over twenty years by 50%, while VERTIS has a goal that ITS should cut fatal accidents on Japanese roads by half over thirty years (8, 19).


Speed Limiter Urban Road Traffic Safety Driver Behavior Intelligent Transport System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Andersson G, Nilsson G. Speed management in Sweden. Swedish National Road and Transport Research Institute (VTI), Linköping. 1997.Google Scholar
  2. 2.
    Byers JC, Bittner AC, Hill SG. Traditional and raw task load index (TLX) correlations: are paired comparisons necessary? In: A. Mital (ed.), Advances in Industrial Ergonomics and Safety I. 1989.Google Scholar
  3. 3.
    Carsten OMJ, Draskóczy M. The safety impact of ATT systems: what have we learned from DRIVE II? Towards an Intelligent Transport System: Proceedings of the First World Congress on Applications of Transport Telematics and Intelligent Vehicle-Highway Systems. Boston and London: Artech House. 1995.Google Scholar
  4. 4.
    Carsten O, Fowkes M. External Vehicle Speed Control, Phase I Results: Executive Summary. Institute for Transport Studies, University of Leeds. 1989.Google Scholar
  5. 5.
    Carsten OMJ, Gallimore S. The Leeds driving simulator: a new tool for research in driver behavior. In: A.G. Gale (ed.) Vision in Vehicles — V. Amsterdam: Elsevier. 1996.Google Scholar
  6. 6.
    Carsten OMJ, Rothengatter JA. Safety evaluation of route guidance systems: integration of results. Deliverable 36 of DRIVE II project V2002 HOPES. Institute for Transport Studies, University of Leeds. 1995.Google Scholar
  7. 7.
    Commission of the European Communities. DRIVE Safety Task Force: guidelines on traffic safety, man-machine interaction and system safety. Brussels: DG XIII. 1991.Google Scholar
  8. 8.
    ERTICO. A shared vision for Europe: our future mobility depends on intelligent transport systems. ERTICO, Brussels. 1997.Google Scholar
  9. 9.
    ETSC. Reducing traffic injuries resulting from excess and inappropriate speed. European Transport Safety Council, Brussels. 1994.Google Scholar
  10. 10.
    Finch DJ, Kompfner P, Lockwood CR, Maycock G. Speed, speed limits and accidents. Department of Transport, TRL Project Report 58. Transport Research Laboratory, Crowthorne. 1994.Google Scholar
  11. 11.
    Harvey AC, Durbin J. The effects of seat belt legislation on British road casualties: a case study in structural time series modeling. Journal of the Royal Statistical Society, A149: 187–227. 1986.Google Scholar
  12. 12.
    Hauer E. Accidents, overtaking and speed control. Accident Analysis and Prevention 3(1) p 1–13. 197CrossRefGoogle Scholar
  13. 13.
    Munden JM. Relation between driver’s speed and accident rate. Ministry of Transport, RRL Laboratory Report 88. Road Research Laboratory, Crowthorne. 1967.Google Scholar
  14. 14.
    Parkes AM, Franzén S. (eds.). Driving Future Vehicles. London: Taylor & Francis. 1993.Google Scholar
  15. 15.
    Perrett KE, Stevens A. Review of the potential benefits of road transport telematics. TRL Report 220. Transport Research Laboratory, Crowthorne. 1996.Google Scholar
  16. 16.
    Plowden S, Hillman M. Speed control and transport policy. Policy Studies Institute, London. 1996.Google Scholar
  17. 17.
    Pyne HC. Review of the literature on the relationship between speed and accidents. Deliverable 1 of External Vehicle Speed Control. Institute for Transport Studies, University of Leeds. 1997.Google Scholar
  18. 18.
    Várhelyi A. Dynamic speed adaptation based on information technology: a theoretical background. Bulletin 142. Department of Traffic Planning and Engineering, University of Lund. 1996.Google Scholar
  19. 19.
    VERTIS. VERTIS goals for ITS in 30 years (within Japan). VERTIS website. 1998.Google Scholar
  20. 20.
    Verwey WB. Evaluating safety effects of in-vehicle information systems (IVIS). Report TM-96-C068. TNO Institute for Human Factors, Soesterberg. 1996.Google Scholar
  21. 21.
    Verwey WB, Brookhuis KA, Janssen WH. Safety effects of in-vehicle information systems. Report TM-96-C002. TNO Institute for Human Factors, Soesterberg. 1996.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Oliver Carsten
    • 1
  1. 1.The University of LeedsUK

Personalised recommendations