Scholarly
    Communications Project


Document Type:Master's Thesis
Name:Dhruv Nanda
Email address:dhruv@ctr.vt.edu
URN:
Title:A Method to Enhance the Performance of Synthetic Origin-Destination (O-D) Trip Table Estimation Models
Degree:Master of Science
Department:Department of Civil Engineering
Committee Chair: Dr. R. Sivanandan
Chair's email:Siva@ctr.vt.edu
Committee\ Members:
Keywords:Origin-Destination (O-D) Trip Tables, Synthetic Models, Target Tables, Link Volumes
Date of defense:June 9, 1997
Availability:Release the entire work immediately worldwide.

Abstract:

The conventional methods of determining the Origin- Destination (O-D) trip tables involve elaborate surveys, such as home interviews, requiring considerable time, manpower and funds. To overcome this drawback, a number of theoretical models that synthesize O-D trip tables from link volume data have been developed in the past. The focus of this research was on two of these models, namely, The Highway Emulator (THE) and the Linear Programming (LP) models. These models use target/seed tables for guiding the modeled trip tables. In an earlier research effort conducted by Virginia Tech Center for Transportation Research, potential was noted for enhancing these modelsí performances by using a superior target/seed table. This research study exploits the readily available socio- economic/census data and link volume information and proposes a methodology for obtaining improved target/seed tables, by performing the trip generation and trip distribution steps. This table was provided as target to THE and LP models, and their performances evaluated using Pulaski town as case study. In addition to measuring the closeness of the output tables to surveyed tables and their capability to replicate observed volumes, their improvements over the case when a structural table is used as target was also studied.

Tests showed that the use of the superior target/seed table significantly improved the performance of the LP model. However, for THE, mixed trends are seen in terms of different measures of closeness. The sensitivity of the user parameter to place certain degree of belief on the target/seed table for LP model was also analyzed.


List of Attached Files

ABSTRACT.PDF ACKNOWLE.PDF CHAP1.PDF
CHAP2.PDF CHAP3.PDF CHAP4.PDF
CHAP5.PDF CHAP6.PDF CHAP7.PDF
CVRPG.PDF INDEX.PDF LIST_FIG.PDF
LIST_TBL.PDF REFRENCE.PDF VITA.PDF


The author grants to Virginia Tech or its agents the right to archive and display their thesis or dissertation in whole or in part in the University Libraries in all forms of media, now or hereafter known. The author retains all proprietary rights, such as patent rights. The author also retains the right to use in future works (such as articles or books) all or part of this thesis or dissertation.