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

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AVL-BASED TRANSIT OPERATIONS CONTROL

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    azu_etd_1039_sip1_m.pdf
    Size:
    2.713Mb
    Format:
    PDF
    Description:
    azu_etd_1039_sip1_m.pdf
    Download
    Author
    Sun, Aichong
    Issue Date
    2005
    Keywords
    Automatic Vehicle Location
    Transit Operations Control
    Holding Control
    Stop-Skipping
    Vehicle Swapping
    Simulation
    Advisor
    Hickman, Mark
    Committee Chair
    Hickman, Mark
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    This dissertation studies three public transit operations control strategies with automatic vehicle location (AVL) data available. Specifically, holding control, stop-skipping control and vehicle dispatching with swapping are investigated. Moreover, AVL data from Tucson, Arizona are employed to investigate the methodologies for deriving vehicle operating parameters.The problem of holding vehicles at multiple holding stations can be modeled as a convex mathematical programming problem which can be solved to near optimality by a proposed heuristic. A simulation study on the holding problem suggests that holding control based on the proposed problem formulation can effectively reduce the total passenger cost. Also, multiple holding stations may offer more opportunities to regularize vehicle headways so that holding vehicles at multiple stations can further reduce the passenger cost compared to holding vehicles only at a single station.Stop-skipping is investigated to respond more rapidly to vehicle disruptions occurring in the middle of a route. Based on a preliminary analysis of the basic stop-skipping policy, a policy alternative is constructed. The stop-skipping strategy is formulated separately for both policies as a nonlinear integer programming problem. The problem solution relies on an exhaustive search method. Another simulation study is conducted to examine how the performance of the two policies change with the passenger distribution pattern, the vehicle disruption location and length, and the vehicle travel time variability. The simulation result suggests selective superiority of the two policies.The vehicle dispatching problem investigates the potential of integrating real-time swapping into the vehicle dispatching strategies at a transit transfer terminal. With a hypothetical study design, simulation is employed again to evaluate the significance of real-time swapping by comparing the performance of a swapping-holding combined strategy with the holding-only strategy. A sensitivity analysis is also employed to compare these two strategies among key transit operating factors.Finally, using three different understandings (assumptions) of vehicle operating behavior, regression methods are proposed for using AVL data to derive the vehicle running speeds and passenger boarding rates, which serve as inputs to the operations control models. The regression results show that the day-specific operating behavior may not be appropriate, and that operating behavior combining both trip-specific and day-specific effects seems to be slightly superior to the trip-specific behavior overall.
    Type
    text
    Electronic Dissertation
    Degree Name
    PhD
    Degree Level
    doctoral
    Degree Program
    Civil Engineering
    Graduate College
    Degree Grantor
    University of Arizona
    Collections
    Dissertations

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    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.