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Short-Term Traffic Volume Estimation Based on Macroscopic Flow Characteristics

Tajalli, Mehrdad | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 46006 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Poorzahedy, Hossein
  7. Abstract:
  8. Traffic volume is the most important characteristic in most traffic studies, which is regularly measured by sampling methods for a given road. Traffic volume has determining effect in specifying network origin-destination demand, improvement of roads, traffic distributions over the network, improving road parameters, air pollution and in other aspects of flow in the network. There are many ways to measure traffic volume in different situations. However, most of them are expensive to implement and in cases which take a long time to do the survey, or the number of locations are excessive, the operation would not be cost-effective. In this research we investigate using macroscopic characteristics of traffic flow and deterministic and stochastic relationship between speed, density and flow. Moreover, we used the average speed of passing vehicles through an urban freeway to estimate its short term traffic volume in the segment of freeway at concern. Observations show that the new method of volume estimation performs satisfactory results with high accuracy. Thus, it is concluded that the method could be an easy and economical way of traffic volume estimation where we lack sufficient equipment or software to do the job electronically
  9. Keywords:
  10. Stochastic Model ; Traffic Volume ; Macroscopic Characteristics of Flow ; Deterministic Model ; Estimation Accuracy

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