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Road test of a freeway model

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  • Hurdle, V. F.
  • Son, Bongsoo

Abstract

A few years ago Newell reworked classical traffic wave theory into "A simplified theory of kinematic waves in highway traffic" (Newell, 1993a and Newell, 1993b). The simplifications - use of cumulative count curves instead of flows for most of the calculations and a triangular flow-density relation to describe traffic flows - were sufficient to allow him to apply the theory (Newell, 1993c) to complex situations with multiple bottlenecks and multi-destination flows. This paper tests Newell's model by comparing its predictions with conditions observed at three freeway test sites. The test data from San Francisco Bay Area freeways is old, but extraordinarily detailed, so provides the necessary input and observed densities for comparison. In the tests, the model did a very good job of predicting the growth and decay pattern of large queues and the effect of traffic entering and leaving the roadway within a congested area, but had difficulties dealing with light or sporadic congestion. However, the predicted travel times were quite accurate even for lightly congested roadways. The estimation of roadway capacities needed as input proved to be a major problem. The duration of queuing - both in the model and the real world - is very sensitive to the maximum rate at which vehicles can enter bottlenecks, and neither standard estimation tools nor the data set provided estimates of sufficient precision. This would seem to be a problem for any freeway model, but for many purposes there is no need for the level of accuracy sought here, and for others better data would be available. Overall, the results were very encouraging: the model requires very little calculation time and delivers excellent results for the severely congested freeways that are of the most practical interest.

Suggested Citation

  • Hurdle, V. F. & Son, Bongsoo, 2000. "Road test of a freeway model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(7), pages 537-564, September.
  • Handle: RePEc:eee:transa:v:34:y:2000:i:7:p:537-564
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    References listed on IDEAS

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    1. Michalopoulos, Panos G. & Yi, Ping & Lyrintzis, Anastasios S., 1993. "Continuum modelling of traffic dynamics for congested freeways," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 315-332, August.
    2. Newell, G. F., 1993. "A simplified theory of kinematic waves in highway traffic, part II: Queueing at freeway bottlenecks," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 289-303, August.
    3. Ross, Paul, 1988. "Traffic dynamics," Transportation Research Part B: Methodological, Elsevier, vol. 22(6), pages 421-435, December.
    4. Newell, G. F., 1993. "A simplified theory of kinematic waves in highway traffic, part I: General theory," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 281-287, August.
    5. Newell, G. F., 1993. "A simplified theory of kinematic waves in highway traffic, part III: Multi-destination flows," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 305-313, August.
    6. Michalopoulos, Panos G. & Beskos, Dimitrios E. & Yamauchi, Yasuji, 1984. "Multilane traffic flow dynamics: Some macroscopic considerations," Transportation Research Part B: Methodological, Elsevier, vol. 18(4-5), pages 377-395.
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    Cited by:

    1. Xing, Tao & Zhou, Xuesong & Taylor, Jeffrey, 2013. "Designing heterogeneous sensor networks for estimating and predicting path travel time dynamics: An information-theoretic modeling approach," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 66-90.
    2. Yeung, Jian Sheng & Wong, Yiik Diew & Secadiningrat, Julius Raditya, 2015. "Lane-harmonised passenger car equivalents for heterogeneous expressway traffic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 361-370.
    3. 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.
    4. Georgia Perakis & Guillaume Roels, 2006. "An Analytical Model for Traffic Delays and the Dynamic User Equilibrium Problem," Operations Research, INFORMS, vol. 54(6), pages 1151-1171, December.
    5. Deng, Wen & Lei, Hao & Zhou, Xuesong, 2013. "Traffic state estimation and uncertainty quantification based on heterogeneous data sources: A three detector approach," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 132-157.
    6. 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.

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