Calibration and Validation of Transit Network Assignment Models
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Science, Technology & Agriculture > Civil engineering, surveying and building > Calibration and Validation of Transit Network Assignment Models
Calibration and Validation of Transit Network Assignment Models

Calibration and Validation of Transit Network Assignment Models


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

This dissertation, "Calibration and Validation of Transit Network Assignment Models" by Wen-chi, Sylvia, Fung, 馮韻芝, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: ABSTRACT of thesis entitled CALIBRATION AND VALIDATION OF TRANSIT NETWORK ASSIGNMENT MODELS Submitted by FUNG Wen Chi Sylvia For the degree of Master of Philosophy At the University of Hong Kong In November 2005 This thesis describes the calibration and validation of transit network assignment models, which consist of a conventional metro network static frequency- based model and a dynamic schedule-based model. It also describes methods for generation of the random coefficients of a path cost function that serves as an important input to a stochastic trip assignment model. Firstly, a conventional static frequency-based model is applied to the metro network in Hong Kong for the morning peak hour. This model is characterized by (a) using information retrieved from ticketing gates to construct station-to-station Origin-Destination (O-D) trip matrices; (b) using operator supplied transit line schedules to describe vehicle movements; (c) using site surveys to determine the time spent by passengers walking between station ticketing gates and platforms or between station platforms; and (d) using link counts to validate the trip assignment results. The model results are used to assess how accurately the performance of an existing metro system can be predicted by using a conventional network assignment model. The validation results indicate that the maximum error in estimating individual cross-harbor link flows is approximately 12%. The study also explores the differences between modeling metro systems as compared to bus systems, and investigates how conventional transit network models should be improved for modeling metro systems. Secondly, a dynamic schedule-based model is applied to the same network for a 4-hour period from 6 a.m. to 10 a.m. The demand is represented by full sample multi-period station-to-station O-D trip matrices that are compiled from data retrieved from ticketing gates. The model is extended to multiclass assignment for single-period and multi-periods. The models are calibrated to determine the proportion of different user classes to be assigned to the network during different time periods. The numbers of passengers boarding and alighting at all station platforms at 15-minute intervals are used to calibrate the model, and cross harbour link counts are used to validate the assignment results. As the coefficients of the path cost function are important parameters for the assignment models, it is considered that the model accuracy can be further improved by carrying out surveys to determine the route choice behavior of different types of passengers and using more complex assignment algorithms to account for the stochastic path choice behaviors of passengers. By formulating a probability density function (pdf) and a joint probability density function (jpdf) in gamma form, random coefficients of the path cost function are generated using Monte Carlo simulation. In addition to independent random sequences, the method of antithetic coupling is applied as a strategy for reducing the variance of the mean of sample variates. Numerical examples are included to compare the efficiencies of Monte Carlo simulation with and without using antithetic coupling. DOI: 10.5353/th_b3462421 Subjects: Local transit - Mathematical models Traffic assignment - Mathematical models Subways


Best Sellers


Product Details
  • ISBN-13: 9781361122136
  • Publisher: Open Dissertation Press
  • Publisher Imprint: Open Dissertation Press
  • Height: 279 mm
  • No of Pages: 192
  • Weight: 739 gr
  • ISBN-10: 1361122137
  • Publisher Date: 26 Jan 2017
  • Binding: Hardback
  • Language: English
  • Spine Width: 13 mm
  • Width: 216 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Calibration and Validation of Transit Network Assignment Models
Open Dissertation Press -
Calibration and Validation of Transit Network Assignment Models
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Calibration and Validation of Transit Network Assignment Models

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!