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Validation of the Incremental Transfer Model

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  • Robert, Tim
  • Lin, Wei-Hua
  • Cassidy, Michael

Abstract

This report documents our validation effort on the Incremental Transfer (IT) model, which is a macroscopic traffic flow model capable of handling freeway systems with special lanes and priority vehicles. The validation study is performed with field data from a 1.7-mile long freeway segment with a congested off-ramp in Oakland, California. In our study, vehicles exiting the off- ramp of this segment are treated as "regular vehicles" and through vehicles as "special vehicles." By assuming that the exiting or "regular" vehicles must stay on the "near" side lanes, we examine the spatial evolution of separate versus coalesced queues developed in the region resulting from a capacity reduction on the exit ramp. The observed queuing pattern is then compared with that predicted by the IT model. Qualitatively, the IT model yields a queuing pattern similar to the one observed in the field data. The model predicts the separate versus coalesced queues in a way that no other macroscopic traffic flow models can do. However, the predictions of the exact queue location are not accurate. The errors may be caused by the lack of sufficient input information required by the model and the difference between the unique traffic characteristics of the test site and model assumptions.

Suggested Citation

  • Robert, Tim & Lin, Wei-Hua & Cassidy, Michael, 1999. "Validation of the Incremental Transfer Model," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt48s3v44r, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt48s3v44r
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    References listed on IDEAS

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    1. Daganzo, Carlos F., 1997. "A continuum theory of traffic dynamics for freeways with special lanes," Transportation Research Part B: Methodological, Elsevier, vol. 31(2), pages 83-102, April.
    2. Daganzo, Carlos F. & Lin, Wei-Hua & Del Castillo, Jose M., 1997. "A simple physical principle for the simulation of freeways with special lanes and priority vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 31(2), pages 103-125, April.
    3. Daganzo, Carlos F., 1994. "The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory," Transportation Research Part B: Methodological, Elsevier, vol. 28(4), pages 269-287, August.
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    Cited by:

    1. Xie, Kun & Ozbay, Kaan & Yang, Di & Yang, Hong & Zhu, Yuan, 2021. "Modeling lane-specific breakdown probabilities at freeway diverge sections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    2. Juan Carlos Muñoz & Carlos F. Daganzo, 2003. "Structure of the Transition Zone Behind Freeway Queues," Transportation Science, INFORMS, vol. 37(3), pages 312-329, August.
    3. Flötteröd, Gunnar & Rohde, Jannis, 2011. "Operational macroscopic modeling of complex urban road intersections," Transportation Research Part B: Methodological, Elsevier, vol. 45(6), pages 903-922, July.
    4. Daganzo, Carlos F., 2002. "A behavioral theory of multi-lane traffic flow. Part I: Long homogeneous freeway sections," Transportation Research Part B: Methodological, Elsevier, vol. 36(2), pages 131-158, February.
    5. 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.
    6. Laval, Jorge A., 2011. "Hysteresis in traffic flow revisited: An improved measurement method," Transportation Research Part B: Methodological, Elsevier, vol. 45(2), pages 385-391, February.

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