Drivers’ response to variable message signs (VMS) in Kuwait

  • Sharaf AlKhederEmail author
  • Fahad AlRukaibi
  • Ahmad Aiash
Original Article


Variable message signs (VMS) installed in Kuwait at different roads’ locations to disseminate different types of information. This paper investigated the factors affecting drivers’ decision to switch the route under different VMS information. Data were collected using a stated preference survey. The survey included variables affecting drivers’ decisions, such as driver characteristics, drivers’ attitude, and perception towards current VMS information and traffic in general. Four types of information that a VMS could display were given. These included indicating congestion only, which is similar to the current VMS information in Kuwait; showing delay time only; indicating congestion with the delay time and suggesting the best alternate route; or showing delay time only while providing an alternate route. Independent variables with the given dependent variables were tested by applying a multinomial logit regression model to study the correlation among different variables. Results indicated that socio-economic characteristics did not have an impact on drivers’ decision to change the route if VMS indicated congestion only or delay time alone. By contrast, drivers’ gender and family size can affect drivers’ attitude to switch route when VMS displayed multiple types of information and suggested an alternate route simultaneously. Part of the drivers’ attitudes were found to be significant if VMS indicated congestion only, displayed delay time alone, or displayed delay time and suggested an alternate route. When VMS indicated all the types of information all at once, only drivers’ gender and family size were found to be significant.


VMS Switching route Stated preference Variables Kuwait 



  1. Adlera J, Blueb V (1998) Toward the design of intelligent traveler information systems. Transp Res Part C 6(3):157–172CrossRefGoogle Scholar
  2. Alonso M, Vega MH, Martín O (2012) Driving simulation study for the analysis of distraction effects in longitudinal driving behaviour. Cogn Technol Work 14(4):283–297CrossRefGoogle Scholar
  3. Caplice C, Mahmassani H (1992) Aspects of commuting behavior: preferred arrival time, use of information and switching propensity. Transp Res Part A 26(5):409–418Google Scholar
  4. Chatterjee K, Mcdonald M (2007) Effectiveness of using variable message signs to disseminate dynamic traffic information: evidence from field trails in European cities. Transp Rev 24(5):559–585CrossRefGoogle Scholar
  5. Chatterjee K, Hounsell N, Firmin P, Bonsall P (2002) Driver response to variable message sign information in London. Transp Res Part C 10(2):149–169CrossRefGoogle Scholar
  6. Choi J, Tay R (2009) Evaluation of pictograms in dynamic lane control systems in the Republic of Korea. J Transp Syst Eng Inf Technol 9(2):56–61Google Scholar
  7. Dia H (2002) An agent-based approach to modelling driver route choice behaviour under the influence of real-time information Author links open overlay panel. Transp Res Part C 10(5):331–349MathSciNetCrossRefGoogle Scholar
  8. Emmerink R, Nijkamp P, Rietveld P, Ommeren J (1996) Variable message signs and radio traffic information: an integrated empirical analysis of drivers’ route choice behaviour. Transp Res Part A 30(2):135–153Google Scholar
  9. Issa YF, Ratrout NT (2014) Effectiveness of newly introduced variable message signs in Al-Khobar,Saudi Arabia. Intell Transp Syst Rev 26(2):169–177Google Scholar
  10. Itoh M, Abe G, Yamamura T (2014) Effects of arousing attention on distracted driver’s following behaviour under uncertainty. Cogn Technol Work 16(2):271–280CrossRefGoogle Scholar
  11. Jeihani M, NarooieNezhad S, Kelarestaghi KB (2016) Integration of a driving simulator and a traffic simulator case study: exploring drivers’ behavior in response to variable message signs. In: Transportation research board 95th annual meeting, Washington DC,Google Scholar
  12. Jou R-C, Lam S-H, Weng M-C, Chen C-C (2004) Real time traffic information and its impacts on route switching behavior of expressway driver. J Adv Transp 38(2):187–223CrossRefGoogle Scholar
  13. Jou R-C, Hensher DA, Chen K-H (2008) Route choice behaviour of freeway travellers under real-time traffic information provision—application of the best route and the habitual route choice mechanisms. Transp Plan Technol 30(6):545–570CrossRefGoogle Scholar
  14. Kattan L, Habib K, Nadeem S, Islam T (2010) Modeling travelers’ responses to incident information provided by variable message signs in Calgary, Canada. Transp Res Rec 2185:71–80CrossRefGoogle Scholar
  15. Li G, Hamilton WI, Morrisroe G, Clarke T (2006) Driver detection and recognition of lineside signals and signs at different approach speeds. Cognit Technol Work 8(1):30–40CrossRefGoogle Scholar
  16. Ma Z, Shao C, Song Y, Chen J (2014) Driver response to information provided by variable message signs in Beijing. Transp Res Part F 26(Part A):199–209CrossRefGoogle Scholar
  17. Mammar S, Messmer A, Jensen P, Papageorgiou M, Haj-Salem H, Jensen L (1996) Automatic control of variable message signs in Aalborg author links open overlay panel. Transp Res Part C 4(3):131–150CrossRefGoogle Scholar
  18. Pampel SM, Jamson SL, Hibberd D, Barnard Y (2017) The activation of eco-driving mental models: can text messages prime drivers to use their existing knowledge and skills?. Cogn Technol Work 19(4):743–758CrossRefGoogle Scholar
  19. Sharples S, Shalloe S, Burnett G, Crundall D (2016) Journey decision making: the influence on drivers of dynamic information presented on variable message signs. Cogn Technol Work 18(2):303–317CrossRefGoogle Scholar
  20. Tay R (2008) ITS and VMS. J Adv Transp 42(1):1–3CrossRefGoogle Scholar
  21. Tay R, de Barros AG (2008) Public perceptions of the use of dynamic message signs. J Adv Transp 42(1):95–110CrossRefGoogle Scholar
  22. Vanderhaegen F (2012) Cooperation and learning to increase the autonomy of ADAS. Cogn Technol Work 14(1):61–69CrossRefGoogle Scholar
  23. Vanderhaegen F (2017) Towards increased systems resilience: new challenges based on dissonance control for human reliability in Cyber-Physical and Human Systems. Ann Rev Control 44:316–322CrossRefGoogle Scholar
  24. Wardman M, Bonsall P, Shires J (1997) Driver response to variable message signs: a stated preference investigation. Transp Res Part C 5(6):389–405CrossRefGoogle Scholar
  25. Wright KB (2005) Researching internet-based populations: advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. J Comput Med Commun 10(3):JCMC1034Google Scholar
  26. Wu Z, Liang Y (2016) Variable message location selection basing on drivers’ perception. In: World conference on transport research, ShanghaiGoogle Scholar
  27. Ye X, Gan H (2014) Whether to enter expressway or not? The impact of new variable message sign information. J Adv Transp 49(2):267–278Google Scholar
  28. Yim Y, Ygnace J-l (1996) Link flow evaluation using loop detector data: traveler response to variable-message signs. Transp Res Rec 1550:58–64CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.Civil Engineering Department, College of Engineering and PetroleumKuwait UniversityKuwait CityKuwait

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