Intelligent transport systems and effects on road traffic accidents: state of the art

Intelligent transport systems and effects on road traffic accidents: state of the art

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

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(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.

The results from several reviews have been presented and the aspects of road safety associated with intelligent transport systems (ITS) applications have been addressed. The attempt is to make a state-of-the-art regarding effects on accidents by categorising systems according to levels of evaluations methods that have been applied. These categories are effects on behaviour, effects on accidents by proxy/surrogate methods, accident studies from real traffic, effects on accident types and finally by meta-analysis where weighted estimates of effects on accidents can be calculated. Thirty-three IT systems including driver assistance systems/advanced driver assistance systems, in-vehicle information systems, in-vehicle data-collection systems and road telematics have been listed. Effects based on meta-analysis are estimated for 11 systems, and single accident studies are found for an additional 2 systems. For the remaining 20 systems, no studies from real road traffic have been identified. Effects on accidents of antilocking brake systems and electronic stability control (ESC) are presented in more detail according to their effects on certain accident types. ESC appears to be very efficient in reducing the number of accidents. Behavioural adaptations to ITS are considered and discussed, especially in terms of compensation mechanisms. Four hypotheses regarding prediction of effects on accidents are stated according to whether systems increase or decrease ‘windows of opportunities’ by calling upon a driver behaviour model where emotions play a central role.


    1. 1)
      • The handbook of road safety measures
    2. 2)
      • A benefit/cost analysis of the Commercial Vehicle Information Systems and Networks (CVISN) program, Economic impacts of intelligent transport systems: innovations and case studies. Research in transportation economics
    3. 3)
      • Penttinen, M., Virtanen, N.: `An inventory of available ADAS and similar technologies according to their safety potentials', HUMANIST NoE Contract No 507420). Espoo, VTT Building and Transport, Finland. Reference: BVTT-070105-R1-DB2, 2005, Deliverable 2 of Task Force B. Delivered under EC-project HUMAN centred design for Information Society Technologies Network of Excellence
    4. 4)
      • Vaa, T.: `Intelligent Transport Systems (ITS): An overview of effects on behaviour and accidents', 845/2006, TØI-report, 2006, (in Norwegian with summary in English)
    5. 5)
      • Accident risk of car drivers during mobile phone use
    6. 6)
      • Statistical methods for rates and proportions
    7. 7)
      • Impacts of an automatic emergency call system on accident consequences’. Espoo
    8. 8)
      • Karlsen, P.G.: `Accident Data Recorders (ADR). Literature Review of effects and experiences with use of ADR', 617/2002, TØI-report, 2002, (in Norwegian with summary in English)
    9. 9)
      • Effects of electronic stability control (ESC) on accidents. A review of empirical evidence
    10. 10)
      • Thomas, P.: `The accident reduction effectiveness of ESC-equipped cars in Great Britain', Proc. 13th World Congress on Intelligent Transport Systems, October 2006, London
    11. 11)
      • Elvik, R., Christensen, P., Olsen, S.F.: `Daytime running lights: a systematic review of effects on road safety', 688/2003, TØI-report, 2003
    12. 12)
      • Knight, I., Sexton, B., Bartlett, R., Barlow, T., Latham, S., McCrae, I.: `Daytime Running Lights (DRL): A review of the reports from the European Commission', PPR 170, TRL Report, October 2006
    13. 13)
      • Dragutinovic, N., Twisk, D.: `Use of mobile phones while driving – effects on road safety', R-2005-12, SWOV-report, 2005
    14. 14)
      • Janoff, M.S., Davit, P.S., Rosenbaum, M.J.: `Adverse environmental operations. Chapter 11 of Synthesis of safety research related to traffic control and roadway elements', Report FHWA-TS-82-232, 1982
    15. 15)
      • Evaluation of an automatic fog-warning system
    16. 16)
      • The theory of risk homeostasis: Implications for safety and health
    17. 17)
      • Modelling driver behaviour on basis of emotions and feelings: intelligent transport systems and behavioural adaptation, Modelling driver behaviour in automotive environments
    18. 18)
      • Descartes' error: emotion, reason and the human brain
    19. 19)
      • The effectiveness of antilock braking systems in reducing accidents in Great Britain
    20. 20)
      • Vaa, T., Gelau, C., Penttinen, M., Spyropoulou, I.: `ITS and effects on road traffic accidents. State of the art', Proc. 13th World Congress on Intelligent Transport Systems, October 2006, London
    21. 21)
      • Dang, J.N.: `Preliminary results analyzing the effectiveness of electronic stability control (ESC) systems', Report no. DOT-HS-809-790, 2004
    22. 22)
      • Effect of electronic stability control on automobile crash risk
    23. 23)
      • The effectiveness of ESP (Electronic Stability Programme) in reducing real life accidents
    24. 24)
      • Aga, M., Okada, A.: `Analysis of vehicle stability controls effectiveness from accident data', ESV paper 541. 18th ESV Conference, 2003, Nagoya
    25. 25)
      • Bahouth, G.: `Real world crash evaluation of vehicle stability control (VSC) technology', 49thAnnual Proc. Association for the Advancement of Automotive Medicine, September 2005
    26. 26)
      • Is electronic stability control effective on French roads?
    27. 27)
      • IVI-HF.: ‘Intelligent vehicle initiative, human factors problem areas: vision enhancement’., 2004
    28. 28)
      • The role of reduced visibility in nighttime road fatalities (UMTRI-93-33)
    29. 29)
      • The role of ambient light level in fatal crashes: inferences from daylight saving time transitions
    30. 30)
      • Elvik, R.: `A meta-analysis of evaluations of public lighting as an accident countermeasure', Paper 950062, 74th Annual Meeting of the Transportation Research Board, 1995, Transportation Research Board, Washington, DC
    31. 31)
      • Business Week. Safety technology: moving beyond seat belts. Business Week Online February 16, 2006
    32. 32)
      • Tsimhoni, O., Green, P.: `Night vision enhancement systems for ground vehicles: the human factors literature', 2002-05, Technical Report, 2002
    33. 33)
      • Staahl, A., Oxley, P., Berntman, M., Lind, L.: `The use of vision enhancements to assist elderly drivers', Proc. First World Congress on Applications of Transport Telematics and Intelligent Vehicle-Highway Systems, 1995, p. 1999–2007
    34. 34)
      • Evaluation of the human factors implications of Jaguar's first prototype near infrared night vision system, Vision in vehicles VI
    35. 35)
      • Jaguar cars' near infrared night vision system – overview of human factors research to date, Vision in vehicles VII
    36. 36)
      • Ward, N.J., Stapleton, L., Parkes, A.M.: `Behavioural and cognitive impact of night-time driving with HUD contact analogue infra-red imaging', Proc. 14th International Technical Conf. on Enhanced Safety of Vehicles, 1994, p. 319–324
    37. 37)
      • The effect of an infrared driver support system on driver behaviour, Engineering psychology and cognitive ergonomics: Vol. 5. Aerospace and transportation systems
    38. 38)
      • `Consumer acceptance of automotive crash avoidance devices: a report of qualitative research', Project No. 852-05, USDoT, CRA Interim Report, 1998
    39. 39)
      • Auto safety and human adaptation, Issues in science and technology online
    40. 40)
      • The effect of vision enhancement systems on driver peripheral visual performance, Ergonomics and safety of intelligent driver interfaces
    41. 41)
      • Risk compensation – the case of road lighting
    42. 42)
      • Risk factors affecting the severity of single vehicle traffic accidents in Hong Kong
    43. 43)
      • Reflector posts – signs of danger?, Transportation research record 1403
    44. 44)
      • Behavioural compensation by drivers of a simulator when using a vision enhancement system

Related content

This is a required field
Please enter a valid email address