dc.contributor.author	Nanda, Dhruv	en
dc.contributor.committeechair	Sivanandan, R.	en
dc.contributor.committeemember	Arnold, Eugene D. Jr.	en
dc.contributor.committeemember	Trani, Antonio A.	en
dc.contributor.department	Civil Engineering	en
dc.date.accessioned	2014-03-14T20:51:50Z	en
dc.date.adate	1997-06-09	en
dc.date.available	2014-03-14T20:51:50Z	en
dc.date.issued	1997-06-09	en
dc.date.rdate	1997-06-09	en
dc.date.sdate	1997-06-09	en
dc.description.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 models' 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.	en
dc.description.degree	Master of Science	en
dc.identifier.other	etd-52597-2134	en
dc.identifier.sourceurl	http://scholar.lib.vt.edu/theses/available/etd-52597-2134/	en
dc.identifier.uri	http://hdl.handle.net/10919/36793	en
dc.publisher	Virginia Tech	en
dc.relation.haspart	CVRPG.PDF	en
dc.relation.haspart	ABSTRACT.PDF	en
dc.relation.haspart	ACKNOWLE.PDF	en
dc.relation.haspart	INDEX.PDF	en
dc.relation.haspart	LIST_FIG.PDF	en
dc.relation.haspart	LIST_TBL.PDF	en
dc.relation.haspart	CHAP1.PDF	en
dc.relation.haspart	CHAP2.PDF	en
dc.relation.haspart	CHAP3.PDF	en
dc.relation.haspart	CHAP4.PDF	en
dc.relation.haspart	CHAP5.PDF	en
dc.relation.haspart	CHAP6.PDF	en
dc.relation.haspart	CHAP7.PDF	en
dc.relation.haspart	REFRENCE.PDF	en
dc.relation.haspart	VITA.PDF	en
dc.rights	In Copyright	en
dc.rights.uri	http://rightsstatements.org/vocab/InC/1.0/	en
dc.subject	Target Tables	en
dc.subject	Synthetic Models	en
dc.subject	Origin-Destination (O-D) Trip Tables	en
dc.subject	Link Volumes	en
dc.title	A Method to Enhance the Performance of Synthetic Origin-Destination (O-D) Trip Table Estimation Models	en
dc.type	Thesis	en
thesis.degree.discipline	Civil Engineering	en
thesis.degree.grantor	Virginia Polytechnic Institute and State University	en
thesis.degree.level	masters	en
thesis.degree.name	Master of Science	en

A Method to Enhance the Performance of Synthetic Origin-Destination (O-D) Trip Table Estimation Models

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