Intelligent intersection support for powered two-wheeled riders: a human factors perspective

Intelligent intersection support for powered two-wheeled riders: a human factors perspective

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Intelligent Transport Systems — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Given that intersections represent particularly hazardous situations for riders of powered two wheelers, an intelligent intersection support system has been developed. This system provides a warning whenever the rider approaches an intersection at an unsafe speed. This study reports the results of a pilot evaluation of the system from a human factors perspective. In a motorcycle simulator, the system was tested with two alternative rider interfaces: a force feedback throttle and a haptic glove. Riding with the system versions was compared with riding without support. Although the number of potentially critical situations did not decrease when using the system, the results confirm that the warnings by both system versions led to a significantly reduced approach speed to the intersection, at least in a rural scenario. The riders perceived more benefits from riding with the intersection support when the warning was transmitted by the haptic glove than when they received the alert by the force feedback throttle. Accordingly, the acceptance of the latter system version was much lower. Relevant factors for the safety potential of the intersection support system are discussed and further research needs are deduced from the limitations of the study.


    1. 1)
      • (2008) Traffic safety basic facts 2008 motorcycles and mopeds.
    2. 2)
      • (2010) Motorcycle road safety report 2010 – strategies for preventing accidents on the roads of Europe.
    3. 3)
    4. 4)
    5. 5)
      • Deliverable 1.3: road users and accident causation. Part 3: summary report.
    6. 6)
    7. 7)
    8. 8)
    9. 9)
      • Haworth, N., Mulvihill, C., Wallace, P., Symmons, M., Regan, M.: `Hazard perception and responding by motorcyclists: summary of background, literature review and training methods', 234, Report No., 2005.
    10. 10)
      • Hurt, H.H., Ouellet, J.V., Thom, D.R.: `Motorcycle accident cause factors and identification of countermeasures', DOT HS-5-01160, 1981.
    11. 11)
      • (2004) Final report 1.2.: in-depth investigations of accidents involving powered two-wheelers.
    12. 12)
      • (2006) Guidelines for PTW-safer road design in Europe.
    13. 13)
      • Clarke, D.D., Ward, P., Truman, W., Bartle, C.: `Motorcycle accidents: preliminary results of an in-depth case-study using police road-accident files', Behavioural Research in Road Safety: 13th Seminar, 2003, p. 153–164.
    14. 14)
      • I.D. Brown . (2002) A review of the “look but failed to see” accident causation factor, Behavioural research in road safety XI.
    15. 15)
    16. 16)
    17. 17)
      • P. Olson . Motorcycle conspicuity revisited. Hum. Factors , 2 , 141 - 146
    18. 18)
      • A. Perlot , S. Prower . (2003) Review of evidence for motorcycle and motorcar daytime lights.
    19. 19)
    20. 20)
    21. 21)
    22. 22)
    23. 23)
      • T. Brenac , N. Clabaux , C. Perrin , P. Van Elslande . Motorcyclist conspicuity-related accidents in urban areas: a speed problem?. Adv. Transp. Stud. , 23 - 29
    24. 24)
    25. 25)
      • Young, R.A., Angell, L.S.: `The dimensions of driver performance during secondary manual tasks', Proc. Second Int. Driving Symp. on Human Factors in Driver Assessment, Training and Vehicle Design, 2003, p. 98–112.
    26. 26)
    27. 27)
    28. 28)
      • Maycock, G., Brocklebank, P., May, R.D.: `Road layout design standards and driver behaviour', 332, TRL, 1998.
    29. 29)
      • Fildes, N.B., Rumbold, G., Leening, A.: `Speed behaviour and drivers’ attitude to speeding', 16, General Report No., , Hawthorne, VIC Roads, 1991.
    30. 30)
    31. 31)
    32. 32)
    33. 33)
      • Champion, A., Espié, S., Saad, F.: `Driving simulator as a research tool for behaviour study and traffic simulation model improvement – case of the crossroads', Proc. Driving Simulation Conf., 2002, Paris, France, p. 353–362.
    34. 34)
      • Chang, S., Hwang, J., Hsu, C., Fung, C., Chang, C., Chang, K.: `The study on the influence of a mixed traffic flow on driving performances using a driving simulator', Proc. Driving Simulation Conf., 2006, Paris, France, p. 103–110.
    35. 35)
    36. 36)
    37. 37)
    38. 38)
      • B.S.F. Lai , K. Chorlton , M. Fowkes . Intelligent speed adaptation (ISA) – UK. Results of motorcycle trial.

Related content

This is a required field
Please enter a valid email address