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Travel time measurement in closed toll highways

Listed author(s):
  • Soriguera, F.
  • Rosas, D.
  • Robusté, F.
Registered author(s):

    Travel time for a road trip is a drivers' most appreciated traffic information. Measuring travel times on a real time basis is also a perfect indicator of the level of service in a road link, and therefore is a useful measurement for traffic managers in order to improve traffic operations on the network. In conclusion, accurate travel time measurement is one of the key factors in traffic management systems. This paper presents a new approach for measuring travel times on closed toll highways using the existing surveillance infrastructure. In a closed toll system, where toll plazas are located on the on/off-ramps and each vehicle is charged a particular fee depending on its origin and destination, the data used for toll collection can also be valuable for measuring mainline travel times on the highway. The proposed method allows estimating mainline travel times on single sections of highway (defined as a section between two neighboring ramps) using itineraries covering different origin-destinations. The method provides trip time estimations without investing in any kind of infrastructure or technology. This overcomes some of the limitations of other methods, like the information delay and the excess in the travel time estimation due to the accumulation of exit times (i.e. the time required to travel along the exit link plus the time required to pay the fee at the toll gate). The results obtained in a pilot test on the AP-7 toll highway, near Barcelona in Spain, show that the developed methodology is sound.

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    Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

    Volume (Year): 44 (2010)
    Issue (Month): 10 (December)
    Pages: 1242-1267

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    Handle: RePEc:eee:transb:v:44:y:2010:i:10:p:1242-1267
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    1. Dion, Francois & Rakha, Hesham, 2006. "Estimating dynamic roadway travel times using automatic vehicle identification data for low sampling rates," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 745-766, November.
    2. Muñoz, Juan Carlos & Daganzo, Carlos F., 2002. "The bottleneck mechanism of a freeway diverge," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(6), pages 483-505, July.
    3. Coifman, Benjamin & Cassidy, Michael, 2002. "Vehicle reidentification and travel time measurement on congested freeways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(10), pages 899-917, December.
    4. Coifman, Benjamin, 2002. "Estimating travel times and vehicle trajectories on freeways using dual loop detectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(4), pages 351-364, May.
    5. Coifman, Benjamin, 2001. "Improved velocity estimation using single loop detectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(10), pages 863-880, December.
    6. Dailey, D. J., 1999. "A statistical algorithm for estimating speed from single loop volume and occupancy measurements," Transportation Research Part B: Methodological, Elsevier, vol. 33(5), pages 313-322, June.
    7. Van Arem, Bart & Van Der Vlist, Martie J. M. & Muste, M. (Rik) & Smulders, Stef A., 1997. "Travel time estimation in the GERDIEN project," International Journal of Forecasting, Elsevier, vol. 13(1), pages 73-85, March.
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