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An Iterative Procedure For Estimating Generalized Average Speed From Microscopic Point Measurements.pdf

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Preview of An Iterative Procedure for Estimating Generalized Average Speed from Microscopic Point Measurements
🔗 Source: dcsc.tudelft.nl
📊 Size: 529 KB
📄 Pages: 8 pages
⬇️ Downloads: 41

Summary

This technical report introduces an iterative procedure for accurately estimating the generalized average speed (time-space-mean speed or TSMS) using microscopic point measurements from inductive loop detectors. The TSMS is crucial in traffic theory as a fundamental variable related to flow and density. Existing methods often rely on time-mean speeds (TMS) reported by loop detectors, which may differ significantly from the TSMS.

The main contribution lies in addressing the challenge of handling vehicles that remain on a road section for multiple sampling cycles. These vehicles are initially detected but not considered in subsequent cycles if they haven't reached the downstream detector. The iterative approach allows for these persistent vehicles to be incorporated into the estimation process, leading to more precise TSMS calculations.

The proposed method is evaluated using NGSIM data from the I-880 highway in the San Francisco Bay Area, demonstrating its excellent performance compared to previous approaches. This research offers a practical solution for traffic applications requiring accurate average speed estimates based on loop detector measurements.

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Description

This technical report from Delft University of Technology's Center for Systems and Control presents an iterative method to estimate the generalized average speed from microscopic point measurements, published in the 2015 MT-ITS conference.

Technical Information

  • File Format: PDF
  • File Size: 529 KB
  • Pages: 8
  • Language: EN
  • Total Downloads: 41
  • Last Updated: 3 hours ago

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