http://iet.metastore.ingenta.com
1887

Diversion during unexpected congestion on toll roads: the role of traffic information displayed on dynamic message signs

Diversion during unexpected congestion on toll roads: the role of traffic information displayed on dynamic message signs

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Intelligent Transport Systems — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Dynamic message signs (DMS) are electronic signs displayed on roadways, providing travel times, traffic congestion, AMBER alerts, and special events. Orlando-Orange County Expressway Authority (OOCEA) in Florida added 29 fixed DMS to their toll road network between 2006 and 2008. The research issues investigated in this study are: 1) whether use of dynamic information on toll roads is associated with route diversions, and 2) are users satisfied with the available dynamic information? The instrument used to analyse travellers' perception of DMS and traffic information was a survey conducted in Central Florida region in May 2008 using Computer Aided Telephone Interview. Respondents answered questions on knowledge of DMS on OOCEA toll roads, satisfaction with travel information provided on the network and with different aspects of messages, route diversion (revealed and stated preferences), and demographics. A multinomial logit model was estimated to quantify the odds of choosing different diversion alternative over the alternative of ‘stay’ that elucidated the differences in diversion behaviour. Results showed that factors associated with greater route diversion are longer travel times, longer delays, information sources, network familiarity, and trip characteristics. Respondents were generally satisfied with DMS. Hazard warnings and accuracy of dynamic information were deemed important for satisfaction.

References

    1. 1)
      • D. Schrank , T. Lomax . (2009) 2009 Urban mobility report.
    2. 2)
      • General Statistics. Available at http://oocea.com/Corporate/about/Statistics/assets/General_Statistics.pdf, accessed 12 July 2008.
    3. 3)
      • A.J. Khattak , J.L. Schofer , F.S. Koppelman . Commuters’ en route diversion and return decisions: analysis and implications for advanced travelers information systems. Transp. Res. , 2 , 101 - 111
    4. 4)
      • Harris, P., Konheim, C.: `Public interest in, and willingness to pay for, enhanced traveler information as provided by IVHS in the New York metropolitan area', Proc. Fifth Annual Meeting of ITS America, 1995.
    5. 5)
      • Yang, C.: `Enhancing the messages displayed on dynamic message signs', Proc. Third Int. Driving Symp. on Human Factors in Driver Assessment, Training and Vehicle Design, 2005.
    6. 6)
      • Schonfeld, G., Tsavachidis, M., Reischl, A.: `Dynamic driver information goes geographical – a new quality in urban traffic information', Proc. Seventh World Congress on Intelligent Transport Systems, 2000, Turin, Italy.
    7. 7)
      • Lai, C.J., Yen, K.T.: `Sedan drivers’ attention and response to variable message signs on freeway in Taiwan', Fourth Int. Conf. on Traffic and Transportation Psychology, 2004, Nottingham, UK.
    8. 8)
      • Ran, B., Barrett, B., Johnson, E.: `Evaluation of variable message signs in Wisconsin: driver survey', Final Report No. 0092-45-17,, 2004, Wisconsin DOT RD&T.
    9. 9)
      • Uchida, T., Iida, Y.: `Panel survey on drivers’ route choice behavior under travel time information', Proc. Conf. on Vehicle Navigation and Information Systems (VNIS), 1994, p. 383–388.
    10. 10)
    11. 11)
      • S. Peeta , J.L. Ramos , R. Pasupathy . (2000) Content of variable message signs and on-line driver behavior.
    12. 12)
    13. 13)
      • Wang, J.H., Cao, Y., Lai, C.J.: `Evaluation of the display format of variable message signs', Proc. Fourth Asia-Pacific Conf. on Industrial Engineering and Management Systems, 2002, Taipei, Taiwan.
    14. 14)
      • H. Zwahlen , A. Russ . (2002) Evaluation of the motoring public's acceptance of a real-time travel prediction system in a freeway construction work zone.
    15. 15)
      • Henderson, J.M.: `A planning model for optimizing location of changeable message signs', 2004, Master's, University of Waterloo.
    16. 16)
      • Anirban, P.: `Modeling of commuters’ route choice behavior', 2004, Master's, University of Toledo.
    17. 17)
      • Peeta, S., Ramos, J.L.: `Driver response to variable message signs-based traffic information', IEEE Proc. online no. 20055012, 2006.
    18. 18)
    19. 19)
    20. 20)
    21. 21)
      • A. Khattak . (1998) Comparative analysis of spatial knowledge and en-route diversion behavior in Chicago and San Francisco: implications for advanced traveler information systems.
    22. 22)
    23. 23)
      • T. Tomer , B. Ross . Evaluation of the potential benefits of advanced traveler information systems. J. Intell. Transp. Syst. Technol. Plan. Oper. , 4 , 173 - 183
    24. 24)
      • Hong, H., Levinson, D.: `Effectiveness of VMS using empirical loop detector data', California PATH Report, UCB-ITS-PWP-2006-4, 2006.
    25. 25)
    26. 26)
    27. 27)
      • Haselkorn, M., Spyridakis, J., Conquest, L., Barfield, W.: `Surveying commuter behavior as a basis for designing motorist information systems', Proc. Conf. on Vehicle Navigation and Information Systems (VNIS), 1989, p. 93–100.
    28. 28)
      • R. Huchingson , C. Dudek . (1979) Delay, time saved, and travel time information for freeway traffic management.
    29. 29)
      • R. Huchingson , J. Whaley , R. Huddleston . (1984) Delay messages and delay tolerance at Houston work zones.
    30. 30)
      • R. Huchingson , R. McNees , C. Dudek . (1977) Survey of route selection criteria.
    31. 31)
      • E. Daniels , M. Levin , J. McDermott . (1976) Improving commercial radio traffic reports in Chicago area.
    32. 32)
    33. 33)
    34. 34)
      • Lochrane, T.: `Evaluating the impact of OOCEA's dynamic message signs (DMS) on travelers’ experience using multinomial and ordered logit for the post deployment survey', 2009, MS, University of Central Florida, Orlando, Florida.
    35. 35)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-its.2010.0163
Loading

Related content

content/journals/10.1049/iet-its.2010.0163
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address