Transportation Technologies for Sustainability

2013 Edition
| Editors: Mehrdad Ehsani, Fei-Yue Wang, Gary L. Brosch

Driver Behavior at Intersections

Reference work entry

Definition of the Subject and Its Importance

Vehicle navigation and communication systems play a role of an information center in road-traffic environments and a key component for realizing ITS (intelligent transport systems ). The most popular function of the in-vehicle navigation systems is route guidance. The route guidance system presents drivers real-time, step-by-step driving instructions, such as preparation for turns, exits, or road changes. This function helps drivers choose and maintain efficient routes with less mental effort.

However, an inadequate interface design may lead to driver distraction or inattention to the primary driving tasks. This results in a reduction of driver acceptance of the route guidance as well as a reduction of driving safety . It is important to develop interface design of route guidance system in order for drivers to recognize the displayed contents correctly.

The in-vehicle navigation systems provide drivers with visual and auditory route...

This is a preview of subscription content, log in to check access.


Primary Literature

  1. 1.
    Kimura K, Marunaka K, Sugiura S (1997) Human factors considerations for automotive navigation systems – legibility, comprehension, and voice guidance. In: Noy YI (ed) Ergonomics and safety of intelligent driver interfaces. Lawrence Erlbaum Associate, Mahwah, pp 153–167Google Scholar
  2. 2.
    Michon JA (1985) A critical view of driver behavior models: What do we know, what should we do? In: Evans L, Schwin RC (eds) Human behavior and traffic safety. Plenum, New York, pp 485–520CrossRefGoogle Scholar
  3. 3.
    Ikeda H, Kobayashi Y, Hirano K (2011) How car navigation systems have been put into practical use – development management and commercialization process-. Synthesiology – English Edition 3:280–289CrossRefGoogle Scholar
  4. 4.
    Pauzie A (2005) Methodologies for driver-centred evaluation of perceptive and cognitive requirements of in-vehicle display. In: Proceedings of 11th international conference on human-computer interaction, Las Vegas, CD-ROMGoogle Scholar
  5. 5.
    Pauzie A, Daimon T, Bruyas MP (1997) How to design landmarks for guidance systems? In: Proceedings of 4th world congress on intelligent transport systems, Berlin, CD-ROMGoogle Scholar
  6. 6.
    Daimon T, Nishimura M, Kawashima H (2000) Study of driver’s behavioral characteristics for designing interfaces of in-vehicle navigation systems based on national and regional factors. JSAE Rev 21:379–384CrossRefGoogle Scholar
  7. 7.
    Kawai M, Kawasumi M, Nakano T, Yamamoto S, (2003) Displaying method in on-board display – route guidance method based on sex differences. In: Proceedings of IEEE intelligent transportation systems council, Columbus, OH, pp 357–360Google Scholar
  8. 8.
    Ross T, May AJ, Grimsley PJ (2004) Using traffic light information as navigational cues: implications for navigation system design. Transp Res Part F 7:119–134CrossRefGoogle Scholar
  9. 9.
    May AJ, Ross T (2006) Presence and quality of navigational landmarks: effect on driver performance and implications for design. Hum Factors 48:346–361CrossRefGoogle Scholar
  10. 10.
    Kishi K, sugiura S (1993) Human factors considerations for voice route guidance. In: SAE SP-964 automotive display systems and IVHS. Society of Automotive Engineers, Warrendale, pp 99–109Google Scholar
  11. 11.
    Yoshioka M, Akamatsu M, Matsuoka K, Sato T (2003) Aim of “behavior-based human environment creation technology”. In: Proceedings of the XVth triennial congress of the international ergonomics association, Seoul, CD-ROMGoogle Scholar
  12. 12.
    Vogel K (2002) What characterizes a “free vehicle” in an urban area? Transp Res Part F 5:15–29CrossRefGoogle Scholar
  13. 13.
    Liu BS (2007) Association of intersection approach speed with driver characteristics, vehicle type and traffic conditions comparing urban and suburban areas. Accid Anal Prev 39:216–223CrossRefGoogle Scholar
  14. 14.
    Akamatsu M, Okuwa M, Onuki M (2001) Development of hi-fidelity driving simulator for measuring driving behavior. J Robot Mechatron 13:409–418Google Scholar
  15. 15.
    Kappe B, Winsum W, Wolffelaar P (2002) A cost-effective driving simulator. In: Proceedings of DSC (driving simulation conference) 2002. INRETS-RENAULT, Paris, pp 123–134Google Scholar
  16. 16.
    The National Advanced Driving Simulator (2010) The University of Iowa. Accessed 19 May 2011
  17. 17.
    Akamatsu M, Onuki M (2008) Trends in technologies for representing the real world in driving simulator environment. Rev Automot Eng 29:611–618Google Scholar
  18. 18.
    Pinto M, Cavallo V, Ohlmann T, Espie S, Roge J (2004) The perception of longitudinal accelerations: what factors influence braking maneuvers in driving simulators?. In: Proceedings of DSC (driving simulation conference) 2004 Europe. INRETS-RENAULT, Paris, pp 139–151Google Scholar
  19. 19.
    Kemeny A, Panerai F (2003) Evaluating perception in driving simulation experiments. Trends Cogn Sci 7:31–37CrossRefGoogle Scholar
  20. 20.
    Dingus TA, Klauer SG, Neale VL, Petersen A, Lee SE, Sudweeks J, Perez MA, Hankey J, Ramsey D, Gupta S, Bucher C, Doerzaph ZR, Jermeland J, Knipling RR (2006) The 100-car naturalistic driving study, phase 2 – results of the 100-car field experiment, Report no. DOT HS 810 593CrossRefGoogle Scholar
  21. 21.
    Akamatsu M, Sakaguchi Y, Okuwa M, Kurahashi T, Takiguchi K (2003) Database of driving behavior measured with equipped vehicles in the real road environment. In: Proceedings of the XVth triennial congress of the international ergonomics association, Seoul, CD-ROMGoogle Scholar
  22. 22.
    Sato T, Akamatsu M (2006) Analysis of drivers’ behaviour before making a right turn at an intersection based on driving behavior data on an actual road. RevAutomot Eng 27:287–294Google Scholar
  23. 23.
    Sato T, Akamatsu M, Daimon T (2006) Investigation on drivers’ behaviour while approaching an intersection: comparison between real and simulated driving. In: Proceedings of driving simulation conference Asia/Pacific (DSC-AP 2006), Tsukuba, CD-ROMGoogle Scholar
  24. 24.
    Sato T, Akamatsu M (2007) Influence of traffic conditions on driver behaviour before making a right turn at an intersection: analysis of driver behaviour based on measured data on an actual road. Transp Res Part F 10:397–413CrossRefGoogle Scholar
  25. 25.
    Brackstone M, McDonald M (2007) Driver headway: how close is too close on a motorway? Ergonomics 50:1183–1195CrossRefGoogle Scholar
  26. 26.
    Ranney TA (1999) Psychological factors that influence car-following and car-following model development. Transp Res Part F 2:213–219CrossRefGoogle Scholar
  27. 27.
    Sato T, Akamatsu M (2009) Analysis of drivers’ preparatory behavior before turning at intersections. IET Intell Transp Syst 3:379–389CrossRefGoogle Scholar
  28. 28.
    Land MF, Lee DN (1994) Where we look when we steer. Nature 369:742–744CrossRefGoogle Scholar
  29. 29.
    Schumacker RE, Lomax RG (2004) SEM Basics. In: Riegert D (ed) A beginner’s guide to structural equation modeling. Lawrence Erlbaum Associates, Mahwah, pp 61–78Google Scholar
  30. 30.
    Hu L, Bentler PM (1995) Evaluating model fit. In: Hoyle R (ed) Structural equation modeling: issues, concepts, and applications. Sage, Newbury, pp 76–99Google Scholar
  31. 31.
    Sato T, Akamatsu M (2008) Modeling and prediction of driver preparations for making a right turn based on vehicle velocity and traffic conditions while approaching an intersection. Transp Res Part F 11:242–258CrossRefGoogle Scholar
  32. 32.
    Bollen KA (1989) Confirmatory factor analysis. In: Structural equations with latent variables. Wiley, New York, pp 226–318Google Scholar
  33. 33.
    Akamatsu M, Sakaguchi Y, Okuwa M (2003) Modeling of driving behavior when approaching an intersection based on measured behavioral data on an actual road. In: Proceedings of the human factors and ergonomics society 47th annual meeting, Denver, CL, pp 1895–1899Google Scholar
  34. 34.
    Pentland A, Liu A (1999) Modeling and prediction of human behavior. Neural Comput 11:229–242CrossRefGoogle Scholar

Books and Reviews

  1. Cacciabue C (2007) Modelling driver behavior in automotive environments: critical issues in driver interactions with intelligent transport systems. Springer, New YorkCrossRefGoogle Scholar
  2. Fuller R, Santos JA (2002) Human factors for highway engineers. Pergamon, Oxford, UKGoogle Scholar
  3. Shinar D (2007) Traffic safety and human behavior. Emerald, BingleyCrossRefGoogle Scholar
  4. Takeda K, Hansen JHL, Erdogan H, Abut H (2009) In-vehicle corpus and signal processing for driver behavior. Springer, New YorkCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Human Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST)Tsukuba-shiJapan