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A hybrid macroscopic-based model for traffic flow in road networks

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  • McCrea, Jennifer
  • Moutari, Salissou

Abstract

Recently, the unquestionable growth of interest to increase the operational efficiency and capability of transportation systems led to the development of a large number of traffic modeling theories. One of the major operational issues when developing a transportation system management model lies in the selection of the appropriate methodological approach with respect to several decisions, such as the selection of the type of input and output data as well as the qualitative representation and the computational power of the model. Despite the considerable effort in the area, there is still not an approach which per se models effectively the various dynamically evolving features of traffic in road networks. The present paper addresses this issue by introducing a new hybrid approach which combines the complementary features and capabilities of both continuum mathematical models e.g. [1], [6], [23] and [26] and knowledge-based models e.g. [7], [22] and [28] in order to describe effectively traffic flow in road networks.

Suggested Citation

  • McCrea, Jennifer & Moutari, Salissou, 2010. "A hybrid macroscopic-based model for traffic flow in road networks," European Journal of Operational Research, Elsevier, vol. 207(2), pages 676-684, December.
    • Handle: RePEc:eee:ejores:v:207:y:2010:i:2:p:676-684
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    References listed on IDEAS

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    1. Denos C. Gazis & Robert Herman & Richard W. Rothery, 1961. "Nonlinear Follow-the-Leader Models of Traffic Flow," Operations Research, INFORMS, vol. 9(4), pages 545-567, August.
    2. Kotsialos, Apostolos & Papageorgiou, Markos, 2004. "Motorway network traffic control systems," European Journal of Operational Research, Elsevier, vol. 152(2), pages 321-333, January.
    3. Paul I. Richards, 1956. "Shock Waves on the Highway," Operations Research, INFORMS, vol. 4(1), pages 42-51, February.
    4. 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.
    5. Zhang, H. M., 2002. "A non-equilibrium traffic model devoid of gas-like behavior," Transportation Research Part B: Methodological, Elsevier, vol. 36(3), pages 275-290, March.
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    Cited by:

    1. Ximan Ling & Zhiren Huang & Chengcheng Wang & Fan Zhang & Pu Wang, 2018. "Predicting subway passenger flows under different traffic conditions," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-23, August.
    2. Cheng, Qixiu & Lin, Yuqian & Zhou, Xuesong (Simon) & Liu, Zhiyuan, 2024. "Analytical formulation for explaining the variations in traffic states: A fundamental diagram modeling perspective with stochastic parameters," European Journal of Operational Research, Elsevier, vol. 312(1), pages 182-197.

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