Decision support tools to support the operations of traffic management centers (TMC)

Hadi, Mohammed; Zhan, Chengjun; Xiao, Yan; Qiang, Huijing; Lehman Center for Transportation Research

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

i

Decision support tools to support the operations of traffic management centers (TMC)

2011-01-31
By Hadi, Mohammed ; Zhan, Chengjun ; Xiao, Yan ; ...

[PDF-4.05 MB]

English

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Creators:

Hadi, Mohammed ; Zhan, Chengjun ; Xiao, Yan ; Qiang, Huijing

Hadi, Mohammed ; Zhan, Chengjun ; Xiao, Yan ; Qiang, Huijing Less -
Corporate Creators:

Lehman Center for Transportation Research
Subject/TRT Terms:

[+]

Advanced Traffic Management Systems Data Mining Decision Making Decision Support Tools Intelligent Transportation Systems Traffic Control Centers Traffic Management Center Travel Time Travel Time Estimation
Resource Type:

Research Paper
Geographical Coverage:

Florida
Edition:

Draft Final Report; October 2008 ¿ December 2010
Corporate Publisher:

Florida Department of Transportation
Abstract:

The goal of this project is to develop decision support tools to support traffic management operations based on collected intelligent transportation system (ITS) data. The project developments are in accordance with the needs of traffic management centers (TMCs) in Florida, as identified in this project. The project developments include new models to estimate travel time based on point detectors. These models were compared with existing travel time estimation methods including the one used in the SunGuide software. The results indicate that all of the tested methods perform at acceptable and comparable levels at low congestion levels. However, their performances vary with the increase in congestion levels. The comparison with other estimation methods shows that the developed models perform well in all cases.

The developments of this study include a method to estimate traffic diversion based on the traffic detector and incident data. In addition, this study developed a method to determine the time lag between incident occurrence and the time it is recorded in the SunGuide database. This study also developed methods to estimate freeway secondary crashes, potential incident impacts on mobility, and a new method to allow incidents to be classified into categories based on primary incident attributes and impacts.
Format:

PDF
Funding:

BDK80 TWO #977-02
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:bca1261068a1cdccdef3e5b35fb8f9d8c2e7c6e50a721edf6273da9e0cebf113
Download URL:

https://rosap.ntl.bts.gov/view/dot/18628/dot_18628_DS1.pdf
File Type:

No Additional Files

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Decision support tools to support the operations of traffic management centers (TMC)

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