Abstract
With the advent of Intelligent Transport Systems (ITS), especially over the last decade, considerable researches have been conducted on drivers' responses to Advanced Traveler Information System (ATIS). Some of the results are being used in an operational level. However, still much additional research is needed to identify optimal strategies for providing traffic information to drivers. This study analyzes results of a mailed survey of frequent freeway users in Wisconsin to determine driver response to Variable Message Signs (VMS). Respondents to the survey are quite familiar with VMS and have generally positive attitudes towards VMS and its effectiveness. Factors that perceived usefulness of VMS information have been identified. Regression analysis is used to quantify the relationship between the reliability of VMS information and the number of route adjustments. Other human factor problems such as readability and visibility of VMS have also been found along with some prospective recommendations. Some limitations and future research agenda have also been discussed.
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References
Abdel-Aty, M., Kitamura, R., and Jovanis, P. (1997). “Using Stated Predference Data for Studying the Effect of Advanced Traffic Information on Drivers' Route Choice.”Transportation Research, Parc C, Vol. 5, No. 1, pp. 39–50.
Eric, V.B. and Peter, V.D.M. (1999). “Driver Information and the (De)formation of Habit in Route Choice.” Behavioural and Network Impact of Drivers Information Systems, Ashgate Publishing Ltd, Brookfield, VA U.S.A., pp. 155–179.
Iida, Y., Uno, N. and Yamada, T. (1999). “Experimental Analysis of Effects of Travel Time Information on Dynamic Route Choice Behaviour.” Ashgate Publishing Ltd, Brookfield, VA U.S.A. pp. 215–240.
Koo, R., Yim, Y., and Hall, R. (1998). “TravInfo Evaluation Traveler Response Element the Target Study.” Phase 1 Results California PATH, UCB-ITS-PWP-98-24, University of California, Berkeley, September.
Mahmassani, H. and Liu, Y.-H. (1999). “Dynamics of Communting Decision Behavior Under Advanced Traveler Information Systems.”Transportation Research, Parc C, Vol. 7, pp. 91–107.
Mannering, F., Kim, S.G., Barfield, W., and Ng, L. (1994). “Statistical Analysis of Commuters' Route Mode, and Departure Time Flexibility.”Transportation Research, Part C, Vol. 2, No. 1, pp. 35–47.
McDonald, M.R., Morris R. A., and Sharpe, J. (1998). Development of VMS Strategies IEEE Conference-Publication. N 454 IEE, Stevenage, England, pp. 212–216.
Peeta, S., Ramos, J.L., and Pasuapathy, R. (1996). “Content of Variable Message Signs and On-line Driver Behavior.” Transportation Research Record, 1725, TRB, National Research Board, Washington, D.C. pp. 102–108.
Peter, W.B. and Ian, A.P. (1999). “Route Choice in Response to Variable Message Signs: Factors Affecting Compliance.” Ashgate Publishing Ltd, Brookfield, VA U.S.A. pp. 181–214.
Takashi, U., Yasunori, I., and Massaki, N. (1994). “Panel Survey on Drivers' Route Choice Behavior Under Travel Time Information.” Vehicle-Navigation and information Systems Conference, Yokohama, Japan IEEE Piscatawy, NJ, 94CH35703, pp. 383–388.
Yim, Y., Khattak, A., and Raw, J. (2002). “Traveler Response to New Dynamic Information Sources: Analyzing Corridor and Area-Wide Behavior Surveys.”Transportation Research Board 81 st Annual Meeting, Washington, D.C.
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Lee, C., Choi, K. & Lee, S. Evaluation of drivers' responses to ATIS: A practical VMS based analysis. KSCE J Civ Eng 8, 233–237 (2004). https://doi.org/10.1007/BF02829123
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DOI: https://doi.org/10.1007/BF02829123