Modifying Ramp Management Strategies to Enhance Resiliency of Freeway Facilities

Shoojat, Siavash; Geistefeldt, Justin; Wolshon, Brian

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Modifying Ramp Management Strategies to Enhance Resiliency of Freeway Facilities

2023-09-01
By Shoojat, Siavash ; Geistefeldt, Justin ; Wolshon, Brian

File Language:

English

Details

Creators:

Shoojat, Siavash ; Geistefeldt, Justin ; Wolshon, Brian
Corporate Creators:

University of Arkansas, Fayetteville ; Louisiana State University ; Ruhr-Universitat Bochum ; Maritime Transportation Research and Education Center (MarTREC)
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

California;United States
Edition:

Final Research Report
Corporate Publisher:

Maritime Transportation Research and Education Center (MarTREC)
Abstract:

Chapter 26 of the HCM6 suggests a procedure for the empirical estimation of freeway capacity, which is based on the direct estimation of breakdown probabilities for bins of traffic volumes. The paper expounds that this methodology is unsuitable to obtain reliable capacity estimations. The theoretical analysis of the deficiencies of the methodology is supported by empirical capacity estimations for twelve freeway sections in California. Based on the empirical results, alternatives for the HCM6 capacity estimation methodology based on statistical models for censored data as well as the distribution of pre-breakdown volumes are proposed and validated. Once the models for censored data is implemented to estimate a reliable capacity distribution function for the freeways, it is used to modify an existing ramp metering algorithm.
Format:

PDF
Funding:

69A3551747130
Download URL:

https://rosap.ntl.bts.gov/view/dot/73818/dot_73818_DS1.pdf
File Type:

[PDF - 1.48 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:0e3be1bba33228a3232fc438734aaea8543d77ed2bce919bb9cfb0adfe6be776f6ae9ca06b04a0560a485407205a98409cc943d48cecc223a7a370ecdd5dcaf0

File Language:

English

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