Route Level Bus Transit Passenger Origin-Destination Flow Estimation Using Apc Data: Numerical And Empirical Investigations
Main Author: | |
---|---|
Language: | English |
Published: |
The Ohio State University / OhioLINK
2008
|
Subjects: | |
Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1228268640 |
id |
ndltd-OhioLink-oai-etd.ohiolink.edu-osu1228268640 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-OhioLink-oai-etd.ohiolink.edu-osu12282686402021-08-03T05:54:49Z Route Level Bus Transit Passenger Origin-Destination Flow Estimation Using Apc Data: Numerical And Empirical Investigations Lu, Dawei Transportation Understanding the origin-destination (OD) flow patterns of passengers is essential to transit planning. The passenger OD flows are usually estimated by on-board surveys in the transit industry. However, using on-board surveys to estimate OD flows is time consuming and labor intensive, and can suffer from response bias. Because of increased availability of automated data collection technologies and their increased acceptance by transit agencies, boarding and alighting data are now much more available to transit authorities than in the past. In this thesis, methods to estimate bus route-level transit passenger OD flows are reviewed and tested. Boarding and alighting counts at each bus stop and base OD flows are used as inputs to the estimation methods. The estimated route-level transit passenger OD matrix provides stop-to-stop passenger flows for all possible stop pairs along the transit route. The estimation methods are illustrated on a small hypothetical transit route with a specified set of input values. The estimated OD flows are compared, and all the methods yield very similar estimated matrices. Several of the methods are also applied on a full-scale transit bus route of the Central Ohio Transit Authority (COTA) bus transit network. Boarding and alighting counts for each bus stop are obtained from COTA's Automatic Passenger Counting (APC) system. Simulation analysis is also conducted on the COTA route. The empirical and simulated results show that OD matrices estimated by different methods are found to be very similar to each other, and the quality of the base OD matrix, a necessary input for several methods, has a marked effect on the quality of the estimated OD matrices. The implications on the choice of the base matrix are discussed. 2008-12-08 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1228268640 http://rave.ohiolink.edu/etdc/view?acc_num=osu1228268640 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
collection |
NDLTD |
language |
English |
sources |
NDLTD |
topic |
Transportation |
spellingShingle |
Transportation Lu, Dawei Route Level Bus Transit Passenger Origin-Destination Flow Estimation Using Apc Data: Numerical And Empirical Investigations |
author |
Lu, Dawei |
author_facet |
Lu, Dawei |
author_sort |
Lu, Dawei |
title |
Route Level Bus Transit Passenger Origin-Destination Flow Estimation Using Apc Data: Numerical And Empirical Investigations |
title_short |
Route Level Bus Transit Passenger Origin-Destination Flow Estimation Using Apc Data: Numerical And Empirical Investigations |
title_full |
Route Level Bus Transit Passenger Origin-Destination Flow Estimation Using Apc Data: Numerical And Empirical Investigations |
title_fullStr |
Route Level Bus Transit Passenger Origin-Destination Flow Estimation Using Apc Data: Numerical And Empirical Investigations |
title_full_unstemmed |
Route Level Bus Transit Passenger Origin-Destination Flow Estimation Using Apc Data: Numerical And Empirical Investigations |
title_sort |
route level bus transit passenger origin-destination flow estimation using apc data: numerical and empirical investigations |
publisher |
The Ohio State University / OhioLINK |
publishDate |
2008 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1228268640 |
work_keys_str_mv |
AT ludawei routelevelbustransitpassengerorigindestinationflowestimationusingapcdatanumericalandempiricalinvestigations |
_version_ |
1719427688994701312 |