Addressing Unpredictable Sources of Congestion

Cunningham, Chris; Guin, Angshuman; Turochy, Rod E; Sullivan, Andrew; Chase, R. Thomas; Ahmed, Ishtiak; North Carolina State University. Institute for Transportation Research & Education; Georgia Institute of Technology

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Addressing Unpredictable Sources of Congestion

2023-10-16
By Cunningham, Chris ; Guin, Angshuman ; Turochy, Rod E ; ...

[PDF-4.56 MB]

English

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Details:

Creators:

Cunningham, Chris ; Guin, Angshuman ; Turochy, Rod E ; Sullivan, Andrew ; Chase, R. Thomas ; ... More +

Cunningham, Chris ; Guin, Angshuman ; Turochy, Rod E ; Sullivan, Andrew ; Chase, R. Thomas ; Ahmed, Ishtiak Less -
Corporate Creators:

North Carolina State University. Institute for Transportation Research & Education ; Georgia Institute of Technology

North Carolina State University. Institute for Transportation Research & Education ; Georgia Institute of Technology Less -
Corporate Contributors:

Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE) ; University of Florida Transportation Institute ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program

Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE) ; University of Florida Transportation Institute ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program Less -
Subject/TRT Terms:

[+]

Congestion Mitigation Crashes Incident Management Nonrecurrent Congestion Performance Measurement Traffic Congestion Traffic Signals
Publication/ Report Number:

STRIDE Project A4
Resource Type:

Tech Report
Geographical Coverage:

Alabama ; North Carolina ; United States

Alabama ; North Carolina ; United States Less -
Edition:

Final Report 08/01/2020 to 10/16/2023
Corporate Publisher:

Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
Abstract:

In this study, we assessed the state-of-the-practice methods of deploying incident management strategies and investigated areas for improvement. We also developed a framework for detecting secondary crashes on interstate corridors. Two case studies were conducted—the Alabama study focuses on assessing the state agency’s service patrol deployment criteria and the North Carolina study mainly deals with the secondary crash detection framework. Concerning the framework for detecting secondary crashes, we chose another interstate corridor (I-40/85 between Greensboro and Durham) in North Carolina. The framework uses the spatiotemporal proximity of any two incidents. The study also reveals several channels of future research concerning unpredictable congestion mitigation. The choice of operational treatments (e.g., hard shoulder running and variable speed limit) is important and needs further evaluation for different incident types. The accuracy of detecting secondary crashes depends on the overall crash rate, crash-reporting criteria, and geometry. For example, the proposed method may need to be adjusted for dense road networks where many roads run close and parallel to the corridor of interest. Police-reported crash descriptions can contain helpful information as well, but many public agencies are stepping back from releasing the reports for research purposes due to data privacy issues.
Format:

PDF
Funding:

69A3551747104
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:bf1a00291b1e699bde395ec78cd5f9869baaeb8a39ff6a3c8977896adaede0a5
Download URL:

https://rosap.ntl.bts.gov/view/dot/72840/dot_72840_DS1.pdf
File Type:

No Additional Files

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Addressing Unpredictable Sources of Congestion

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