Abstract

The Highway Capacity Manual 6th Edition (HCM6) provides methods for evaluating freeway segments and facilities, including weaving segments. Recent research has cast doubt on the validity of some elements of the HCM6 weaving methodology. The core objectives of this research were to identify, document, and address key deficiencies in the current HCM6 weaving method through an improved modeling framework and its calibration. This new framework starts with the basic freeway segment speed model and incorporates a speed impedance factor that represents the effect of weaving turbulence. This approach proved to be simpler and more accurate than the current HCM6 models when tested with field measurements. The speed and capacity prediction models were developed for ramp weaves, avoiding the use of intermediate models to predict the number of lane changes and speeds by weaving maneuvers. The study found that the new speed prediction model is more accurate, while the HCM6 model underestimates the speed within the weaving section compared to field data. A sensitivity analysis showed that the new speed and capacity models behaved properly to changes in segment length, weaving flows, and overall demand. The proposed framework is applicable to the analysis of merge and diverge segments and can ensure continuity in predicting the operational performance across different freeway segment types.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request.

Acknowledgments

This material is based upon work supported by the regional Southeastern Transportation Research and Innovation, Development and Education (STRIDE) center project (69A3551747104). Assessing and addressing deficiencies in the HCM weaving segment analyses.

References

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 147Issue 12December 2021

History

Received: Nov 9, 2020
Accepted: Jul 7, 2021
Published online: Sep 23, 2021
Published in print: Dec 1, 2021
Discussion open until: Feb 23, 2022

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Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Florida, 365 Weil Hall, P.O. Box 116580, Gainesville, FL 32611-6580 (corresponding author). ORCID: https://orcid.org/0000-0001-9362-1348. Email: [email protected]
Graduate Student, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., 3250 Fitts-Woolard Hall, 15 Partners Way, Raleigh, NC 27695-7401. Email: [email protected]
Nagui M. Rouphail, Ph.D., M.ASCE [email protected]
Distinguished University Professor Emeritus, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., 3250 Fitts-Woolard Hall, 15 Partners Way, Raleigh, NC 27695-7401. Email: [email protected]
Lily Elefteriadou, Ph.D., M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Florida, 365 Weil Hall, P.O. Box 116580, Gainesville, FL 32611-6580. Email: [email protected]
Behzad Aghdashi, Ph.D. [email protected]
Director, McTrans Center, Univ. of Florida Transportation Institute, Gainesville, FL 32611-6580. Email: [email protected]

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Cited by

  • Freeways, An Introduction to Traffic Flow Theory, 10.1007/978-3-031-54030-1_9, (207-237), (2024).
  • Investigating the dynamics of speed and acceleration at merging and diverging sections using UAV based trajectory data, International Journal of Transportation Science and Technology, 10.1016/j.ijtst.2023.08.007, (2023).

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