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An observational study of the network-level traffic variables

Author

Listed:
  • Amini, Behnam
  • Shahi, Jalil
  • Ardekani, Siamak A.

Abstract

Simultaneous ground measurements of traffic variables including speed, concentration, and flow over the Central Business District of Tehran have been made to examine the relations among network-wide averages of such variables. The two-fluid model, a curvilinear relation between the trip time and stop time per unit distance, has been calibrated to characterize the quality of traffic service in the study network. In addition, relations between the fraction of vehicles stopped and the average concentration, as well as between the averages of speed and concentration, are derived to describe interrupted traffic flow conditions in urban networks.

Suggested Citation

  • Amini, Behnam & Shahi, Jalil & Ardekani, Siamak A., 1998. "An observational study of the network-level traffic variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(4), pages 271-278, May.
    • Handle: RePEc:eee:transa:v:32:y:1998:i:4:p:271-278
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    References listed on IDEAS

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    1. Robert Herman & Siamak Ardekani, 1984. "Characterizing Traffic Conditions in Urban Areas," Transportation Science, INFORMS, vol. 18(2), pages 101-140, May.
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    1. Sjoerd van der Spoel & Chintan Amrit & Jos van Hillegersberg, 2017. "Predictive analytics for truck arrival time estimation: a field study at a European distribution centre," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5062-5078, September.
    2. Ruoqi Wang & Jiawei Li & Ruibin Bai, 2023. "Prediction and Analysis of Container Terminal Logistics Arrival Time Based on Simulation Interactive Modeling: A Case Study of Ningbo Port," Mathematics, MDPI, vol. 11(15), pages 1-23, July.

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