Application of dynamic traffic assignment to advanced managed lane modeling.

Hadi, Mohammed; Shabanian, Shaghayegh; Ozen, Halit; Xiao, Yan; Doherty, Michael; Segovia, Cesar; Ham, Heejoo; Florida International University. Lehman Center for Transportation Research; URS Consultants; Citilabs

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Application of dynamic traffic assignment to advanced managed lane modeling.

2013-11-01
By Hadi, Mohammed ; Shabanian, Shaghayegh ; Ozen, Halit ; ...

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English

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Details:

Creators:

Hadi, Mohammed ; Shabanian, Shaghayegh ; Ozen, Halit ; Xiao, Yan ; Doherty, Michael ; ... More +

Hadi, Mohammed ; Shabanian, Shaghayegh ; Ozen, Halit ; Xiao, Yan ; Doherty, Michael ; Segovia, Cesar ; Ham, Heejoo Less -
Corporate Creators:

Florida International University. Lehman Center for Transportation Research ; URS Consultants ; Citilabs

Florida International University. Lehman Center for Transportation Research ; URS Consultants ; Citilabs Less -
Subject/TRT Terms:

[+]

Congestion Management Systems Congestion Pricing Dynamic Traffic Assignment Managed Lanes Simulation Traffic Models Travel Demand
Publication/ Report Number:

BDK80-977-30
Resource Type:

Tech Report
Geographical Coverage:

Florida
Corporate Publisher:

Florida. Dept. of Transportation. Office of Research and Development
Abstract:

In this study, a demand estimation framework is developed for assessing the managed lane (ML)

strategies by utilizing dynamic traffic assignment (DTA) modeling, instead of the traditional

approaches that are based on the static traffic assignment (STA). The framework includes

methods for calibrating the network (supply), demand, and assignment modeling parameters.

The methods were extensively tested using real-world data to assure that the DTA modeling of

managed lanes reflected real-world conditions and responded reasonably to different congestion

management scenarios, such as variable pricing policies and different levels of willingness to

pay. This framework is standalone and independent of the utilized DTA modeling tool.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:55d1fe3d275b0bb538e1a39cf29a8eadc07c6d4726f99160fa663da981485116
Download URL:

https://rosap.ntl.bts.gov/view/dot/26857/dot_26857_DS1.pdf
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Application of dynamic traffic assignment to advanced managed lane modeling.

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