Dynamic Message Sign Deployment and Diversion Behavior of Travelers on Central Florida Toll Roads
Abstract
Advanced traveler information systems are particularly helpful in supporting route diversion decisions. The effect of information on diversion behavior on nontolled roads is well documented in the literature. Revealed and stated preference studies traditionally have been conducted to analyze route diversion behavior. However, the effect of realtime traffic information on the behavior of toll road users is unexplored. This study examines the behavior of toll road users in Orlando, Florida. Orlando is serviced by a toll road network where dynamic message signs (DMSs) provide real-time travel time information to travelers. The response of toll road users to information was expected to differ from that of non-toll users. To capture the effects of information, specifically the DMS, a survey was conducted in two phases: predeployment (with only one DMS installed) and postdeployment (after 29 DMSs were installed). A detailed behavioral data set with rigorous modeling was used to investigate the relationship between information and travel decisions in the context of toll road trips. The surveys revealed that higher travel time savings due to diversion, 511 use, and toll payment by cash were associated with a greater propensity to divert in postdeployment. Travelers who experienced abnormal travel times or who reported that DMS helped them during congestion were more likely to divert. The study further showed that toll road users might have more inertia and avoid leaving the toll road than non-toll road users. Implications of the results are discussed.
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References
1. Orlando–Orange County Expressway Authority System's Traffic Data and Statistics Manual. Orlando–Orange County Expressway Authority, Orlando, Fla. http://oocea.com/Corporate/about/Statistics/assets/General_Statistics.pdf. Accessed July 12, 2008.
2. Khattak A. J., Schofer J. L., and Koppelman F. S. Factors Influencing Commuters’ En Route Diversion Behavior in Response to Delay. In Transportation Research Record 1318, TRB, National Research Council, Washington, D.C., 1991, pp. 125–136.
3. Foo S., and Abdulhai B. Evaluating the Impacts of Changeable Message Signs on Traffic Flow. Proc., IEEE Intelligent Transportation Systems Conference, Toronto, Canada, 2006, pp. 891–896.
4. Hong H., and Levinson D. Effectiveness of VMS Using Empirical Loop Detector Data. California PATH Report UCB-ITS-PWP-2006-4. California Partners for Advanced Transit and Highways, Berkeley, 2006.
5. Haselkorn M., Spyridakis J., Conquest L., and Barfield W. Surveying Commuter Behavior as a Basis for Designing Motorist Information Systems. Proc., Conference on Vehicle Navigation and Information Systems (VNIS), Toronto, Ontario, Canada, 1989, pp. 93–100.
6. Huchingson R. D., and Dudek C. L. Delay, Time Saved, and Travel Time Information for Freeway Traffic Management. In Transportation Research Record 722, TRB, National Research Council, Washington, D.C., 1979, pp. 36–40.
7. Huchingson R. D., Whaley J. R., and Huddleston N. D. Delay Messages and Delay Tolerance at Houston Work Zones. In Transportation Research Record 957, TRB, National Research Council, Washington, D.C., 1984, pp. 19–21.
8. Huchingson R. D., McNees R. W., and Dudek C. L. Survey of Motorist Route-Selection Criteria (Abridgment). In Transportation Research Record 643, TRB, National Research Council, Washington, D.C., 1977, pp. 45–48.
9. Daniels E., Levin M., and McDermott J. M. Improving Commercial Radio Traffic Reports in the Chicago Area. In Transportation Research Record 600, TRB, National Research Council, Washington, D.C., 1976, pp. 52–57.
10. Chatterjee K., Hounsell N., Firmin P., and Bonsall P. Driver Response to Variable Message Signing in London. Transportation Research C, Vol. 10, 2002, pp. 149–169.
11. Yim Y., and Ygnace J. L. Link Flow Evaluation Using Loop Detector Data: Traveler Response to Variable Messages Signs. In Transportation Research Record 1550, TRB, National Research Council, Washington, D.C., 1996, pp. 58–64.
12. Uchida T., Iida Y., and Nakahara M. Panel Survey on Drivers’ Route Choice Behavior Under Travel Time Information. Proc., Conference on Vehicle Navigation and Information Systems (VNIS), Yokohama, Japan, 1994, pp. 383–388.
13. Hato E., Taniguchi M., and Sugie Y. Influence of Traffic Information on Drivers’ Route Choice. Proc., 7th World Conference on Transportation Research, Sydney, Australia, 1995, pp. 27–40.
14. Khattak A., Polydoropoulou A., and Ben-Akiva M. Modeling Revealed and Stated Pretrip Travel Response to Advanced Traveler Information Systems. In Transportation Research Record 1537, TRB, National Research Council, Washington, D.C., 1996, pp. 46–54.
15. Al-Deek H., Khattak A., and Thananjeyan P. A Combined Traveler Behavior and System Performance Model with ATIS. Transportation Research A, Vol. 32, No. 7, 1998, pp. 479–493.
16. Abdel-Aty M., Kitamura R., and Jovanis P. Using Stated Preference Data for Studying the Effect of Advanced Traffic Information on Drivers’ Route Choice. Transportation Research C, Vol. 5. No. I, 1997, pp. 39–50.
17. Wardman M., Bonsall P., and Shires J. Driver Response to Variable Message Signs: A Stated Preference Investigation. Transportation Research C, Vol. 5, No. 6, 1997, pp. 389–405.
18. Bonsall P., and Palmer I. Route Choice in Response to Variable Message Signs: Factors Affecting Compliance. In Behavioral and Network Impacts of Driver Information Systems (Emmerink R., and Nijkamp P., eds.), Ashgate, Farnham, United Kingdom, 1999, pp. 181–214.
19. Peeta S., Ramos J. L., and Pasupathy R. Content of Variable Message Signs and On-line Driver Behavior. In Transportation Research Record: Journal of the Transportation Research Board, No. 1725, TRB, National Research Council, Washington, D.C., 2000, pp. 102–108.
20. Lai K., and Wong W. SP Approach Toward Driver Comprehension of Message Formats on VMS. Journal of Transportation Engineering, Vol. 126, No. 3, 2000, pp. 221–227.
21. Emmerink R., Nijkamp P., Rietveld P., and Vas Ommeren J. Variable Message Signs and Radio Traffic Information: An Integrated Empirical Analysis of Drivers’ Route Choice Behavior. Transportation Research A, Vol. 30, No. 2, 1996, pp. 135–153.
22. Bonsall P. Traveler Behavior: Decision-Making in an Unpredictable World. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Vol. 8, No. 1, 2004, pp. 45–60.
23. Khattak A. J., and Khattak A. J. Comparative Analysis of Spatial Knowledge and En-Route Diversion Behavior in Chicago and San Francisco: Implications for Advanced Traveler Information Systems. In Transportation Research Record 1621, TRB, National Research Council, Washington, D.C., 1998, pp. 27–35.
24. Adler J., and McNally M. In-laboratory Experiments to Investigate Driver Behavior Under Advanced Traveler Information Systems. Transportation Research C, Vol. 2, No. 3, 1994, pp. 149–164.
25. Tomer T., and Ross B. Evaluation of the Potential Benefits of Advanced Traveler Information Systems. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Vol. 10, No. 4, 2006, pp. 173–183.
26. Abdel-Aty M., and Abdalla M. Modeling Drivers’ Diversion from Normal Routes Under ATIS Using Generalized Estimating Equations and Binomial Probit Link Function. Journal of Transportation, Vol. 31, No. 3, 2004, pp. 327–348.
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Article first published online: January 1, 2009
Issue published: January 2009
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