• Login
    View Item 
    •   Home
    • Theses and Dissertations
    • Theses and Dissertations
    • View Item
    •   Home
    • Theses and Dissertations
    • Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of TUScholarShareCommunitiesDateAuthorsTitlesSubjectsGenresThis CollectionDateAuthorsTitlesSubjectsGenres

    My Account

    LoginRegister

    Help

    AboutPeoplePoliciesHelp for DepositorsData DepositFAQs

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Realistic Off-Ramp Coupling Conditions for Macroscopic Highway Network Models

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Salehi_temple_0225E_14176.pdf
    Size:
    10.62Mb
    Format:
    PDF
    Download
    Genre
    Thesis/Dissertation
    Date
    2020
    Author
    Salehi, Najmeh
    Advisor
    Seibold, Benjamin
    Committee member
    Szyld, Daniel
    Klapper, Isaac
    Goatin, Paola
    Futer, David
    Department
    Mathematics
    Subject
    Applied Mathematics
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/304
    
    Metadata
    Show full item record
    DOI
    http://dx.doi.org/10.34944/dspace/288
    Abstract
    Transportation systems are among the critical infrastructures in every society. In order to design robust and reliable transportation networks, one needs to have a solid understanding of the behavior of the traffic flow in these networks. Many studies have been conducted to describe, control and predict the traffic flow on the networks. However, there are still some shortcomings in the existing literature that need to be addressed. For example, there are currently no satisfactory macroscopic coupling models for off-ramps on the highways. Specifically, existing models have fundamental modeling shortcomings, and model-fitting and validation of coupling models with traffic data have received little attention. To this end, this thesis will address some of the existing gaps in the literature of macroscopic traffic flow modeling by developing new coupling conditions for off-ramps on highways. This dissertation contributes to the existing literature in the following aspects: modeling, analysis, and validation with data. From a modeling point of view, there are two sets of coupling conditions in the literature for the off-ramp: FIFO (First In, First Out) and non-FIFO. Under the classical FIFO coupling conditions, a clogged off-ramp yields zero flux through the junction. Clearly, on multi-lane highways this is unrealistic, as a queue forming from the off-ramp will generally be restricted to the right-most lane, and vehicles that do not wish to exit can pass the queue. Moreover, the issue with the non-FIFO coupling conditions is that they lead to spurious re-routing of vehicles. To remedy these issues, we develop a new coupling model by using a vertical queue at the junction. The vertical queue keeps track of the excess vehicles of a certain type (exiting vs.~non-exiting) that may join the congested traffic by more than the other vehicle type does. From the analysis point of view, the introduction of the vertical queue as well as the requirement of the model to preserve the split ratios, lead to some differences from the existing models in the literature that renders proving the well-posedness of the model a non-trivial task. In this dissertation, we undertake this task and establish the well-posedness of the model. Specifically, we show that there exists a unique solution that is continuously dependent on the initial data. Finally, we use the data generated from a microsimulator to validate our model and compare it with the existing models. Specifically, we establish micro-simulation representations of the off-ramp scenarios, and describe how to systematically extract macro quantities from the results of the microsimulator. Then, we compare the results of the macroscopic models with the macro quantities extracted from the microsimulator.
    ADA compliance
    For Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
    Collections
    Theses and Dissertations

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Temple University Libraries | 1900 N. 13th Street | Philadelphia, PA 19122
    (215) 204-8212 | scholarshare@temple.edu
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.