Why do drivers change route? effect of graphical route information panels

Why do drivers change route? effect of graphical route information panels

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Studies that explore drivers’ decision behaviour under the graphical route information panels (GRIPs) via the discrete choice models have rarely been reported. In this paper, drivers’ route choice response to the GRIPs is quantitatively analysed by using the discrete choice models through a case study of a real-life GRIP in Shanghai, China. A logit model for predicting the route choice probabilities is developed to capture the relationship between the route choice probability, the driver attributes and the GRIP messages, respectively. The modelling results show that the drivers who have a larger annual driving mileage, access the traffic information via the electronic message signs in daily life highly value the GRIPs and drive their car mainly for the commuting purpose are more likely to divert from the original route to the alternate route under the GRIP; a driver's perceived delay of the original route has a positive effect on his diversion decision under the GRIP; there exist differences in the GRIP response behaviour; the drivers are more likely to divert when the GRIP displays ‘red’ to indicate severe congestion on the original route; the female drivers are more sensitive to ‘red’ and more likely to divert.


    1. 1)
      • 1. Ben-Akiva, M., Lerman, S.R.: ‘Discrete choice analysis’ (MIT Press, Cambridge, USA, 1985).
    2. 2)
      • 2. Gan, H.C., Wang, Q., Fan, B.Q.: ‘Graphical route information panel and macroscopic simulation based investigation of its control benefits’. Proc. Seventh Int. Conf. on Control and Automation, 2009.
    3. 3)
      • 3. Hirokazu, M., Mitsuru, S.: ‘Graphic information provision system on metropolitan expressway’. Proc. Seventh World Congress on Intelligent Transportation Systems, 2000.
    4. 4)
      • 4. Schönfeld, G., Reischl, A., Tsavachidis, M.: ‘Dynamic driver information goes graphical – a new quality in urban traffic information’. Proc. Seventh World Congress on Intelligent Transportation Systems, 2000.
    5. 5)
      • 5. Alkim, T., Schenk, B.: ‘Graphic route information’. Proc. Eighth World Congress on Intelligent Transportation Systems, Sydney, 2001.
    6. 6)
      • 6. Dicke-Ogenia, M., Brookhuis, K.: ‘Improved access to cities through travel information on full color information panels’. European Transport Conf., 2008.
    7. 7)
      • 7. Richards, A., McDonald, M., Fisher, G., Brackstone, M.: ‘Investigation of driver comprehension of traffic information on graphical congestion display panels using a driving simulator’, Eur. J. Transp. Infrastruct. Res., 2004, 4, (4), pp. 417435.
    8. 8)
      • 8. Kloot, G.: ‘Melbourne's arterial travel time system’. Proc. Sixth World Congress on Intelligent Transport Systems, 1999.
    9. 9)
    10. 10)
      • 10. Aitken, R.J., Conway, A., Walton, C.M.: ‘Implementing graphical route information panels (GRIPs) in the United States’, ITE J., 2012, 4, (3), pp. 4247.
    11. 11)
      • 11. Aitken, R., Zhang, G., Walton, C.: ‘Investigate the effectiveness of graphic route information panels through a survey study’. Proc. First Transportation and Development Institute Congress, Chicago, Illinois, 2011, pp. 171185.
    12. 12)
      • 12. Aitken, R., Zhang, G., Walton, C., Conway, A.: ‘Enhance traveler information dissemination through innovative graphic route information panels’. The 89th Annual Meeting of Transportation Research Board, Washington, D.C., January 2010.
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
      • 18. Jou, R.C., Lam, S.H., Liu, Y.H., Chen, K.H.: ‘Route switching behavior on freeways with the provision of different types of real-time traffic information’, Transp. Res. A, 2005, 39, pp. 445461.
    19. 19)
      • 19. Khattak, A.J., Khattak, A.J.: ‘Commuters’ en-route diversion and return decisions: analysis and implications for advanced traveler information systems’, Transp. Res. A, 1993, 27, pp. 101111.
    20. 20)
      • 20. Mahmassani, H.S., Liu, Y.H.: ‘Dynamics of commuting decision behavior under advanced traveler information systems’, Transp. Res. C, 1999, 7, pp. 97107.
    21. 21)
    22. 22)
    23. 23)
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
      • 28. Emmerink, R., Nijkamp, P., Rietveld, P., Ommeren, J.: ‘Variable message signs and radio traffic information: an integrated empirical analysis of drivers’ route choice behavior’, Transp. Res. A, 1996, 30, pp. 135153.
    29. 29)
      • 29. Chen, S., Gan, H.C., Yang, Z.Z.: ‘Discrete choice analysis of graphical route information panel's effect on driver route choice decision’, J. Transp. Syst. Eng. Inf. Technol., 2013, 13, (2), pp. 179184 (in Chinese).

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