Identifying and Mitigating Congestion Onset [Technology Transfer Final Report]

List, George; Hadi, Mohammed; Hunter, Michael; Williams, Billy M.; Guin, Angshuman; Abdallah, Ahmad; Ahmed, Ishtiak; Choudhary, Nishu; Jabin, Atika; Mata, Hector; Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE); University of Florida. Transportation Institute

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Identifying and Mitigating Congestion Onset [Technology Transfer Final Report]

2022-10-01
By List, George ; Hadi, Mohammed ; Hunter, Michael ; ...

[PDF-431.15 KB]

English

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Creators:

List, George ; Hadi, Mohammed ; Hunter, Michael ; Williams, Billy M. ; Guin, Angshuman ; ... More +

List, George ; Hadi, Mohammed ; Hunter, Michael ; Williams, Billy M. ; Guin, Angshuman ; Abdallah, Ahmad ; Ahmed, Ishtiak ; Choudhary, Nishu ; Jabin, Atika ; Mata, Hector Less -
Corporate Creators:

Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE) ; University of Florida. Transportation Institute

Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE) ; University of Florida. Transportation Institute Less -
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

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

[+]

Case Studies Real Time Information Traffic Congestion Traffic Data Traffic Flow Traffic Mitigation
Publication/ Report Number:

Project J3
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Technology Transfer Final Report
Corporate Publisher:

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

This project aimed to help transport agencies use “big data” to help mitigate congestion and manage system performance, for both freeways and arterials. Two investigatory objectives were pursued. First, we created and trained algorithms to spot the onset of incidents and recurring congestion, so that system managers could be more responsive. Our hypothesis was that early responses would help reduce the impacts (make the queues shorter, disappear quicker, and create less delay).
Format:

PDF
Funding:

69A3551747104
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:c9a11bb74c80cb0fd2ce6d501c0ad757e333f0725951538c09245b687ce8a4a0
Download URL:

https://rosap.ntl.bts.gov/view/dot/68443/dot_68443_DS1.pdf
File Type:

No Additional Files

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Identifying and Mitigating Congestion Onset [Technology Transfer Final Report]

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