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Calibration and Validation of Transit Network Assignment Models: (English)

Calibration and Validation of Transit Network Assignment Models: (English)

          
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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


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Product Details
  • ISBN-13: 9781361122129
  • Publisher: Open Dissertation Press
  • Publisher Imprint: Open Dissertation Press
  • Height: 279 mm
  • No of Pages: 192
  • Spine Width: 10 mm
  • Width: 216 mm
  • ISBN-10: 1361122129
  • Publisher Date: 26 Jan 2017
  • Binding: Paperback
  • Language: English
  • Series Title: English
  • Weight: 458 gr


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