Inferring Network Origin-Destination Demands Using Strategic/Partial Link Traffic Flow Information
碩士 === 國立成功大學 === 交通管理學系碩博士班 === 96 === Trip Origin-Destination (O-D) demand in a transportation network is one of the important components for transportation planning and traffic operation. An O-D matrix estimate can be used to determine travel patterns on a zonal network at a given time period. Tr...
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ndltd-TW-096NCKU51190272016-04-25T04:26:50Z http://ndltd.ncl.edu.tw/handle/09098718823597017650 Inferring Network Origin-Destination Demands Using Strategic/Partial Link Traffic Flow Information 以有限路段流量資訊推估路網旅次起迄量 Han-Tsung Liou 劉瀚聰 碩士 國立成功大學 交通管理學系碩博士班 96 Trip Origin-Destination (O-D) demand in a transportation network is one of the important components for transportation planning and traffic operation. An O-D matrix estimate can be used to determine travel patterns on a zonal network at a given time period. Traditional means of obtaining an O-D matrix, such as roadside interview, postcard survey and/or license-plate survey are becoming infeasible, because they are constrained by time and monetary resources. With the rapid development of Intelligent Transportation Systems (ITS) and advanced traffic data collection technology, it is easily to estimate O-D matrix by using relatively easily collected link traffic flow obtained from Vehicle Detectors (VDs). Such a traffic flow data collection approach is economically feasible in view of its relatively low cost; however, it is impossible to conduct a full-scale VD deployment plan due to budgetary constraint. Therefore, how to determine the optimum locations of VD deployment to minimize the number of required VDs within the certain accuracy requirement of O-D estimation is a crucial research issue. The purpose of this research is to consider VD deployment locations for O-D demand estimation from partial link traffic flows in a general network. To deal with the problem of VD deployment under O-D demand estimation consideration methods in linear algebra. Specifically, it is desirable to install VDs on the basis links to collect the link traffic flow information and infer other flow information on linearly dependent links for network O-D trip demand estimation purpose. The main purpose of this research is to investigate the relationships between observed partial link flow and O-D matrix based on flow conservation rule without the unreasonable assumptions on known prior O-D information and turning proportion or route choice probability, which are generally not known or difficult to observe. Further, it is aimed to find out the critical deployment locations of VDs accordingly. Shou-Ren Hu 胡守任 2008 學位論文 ; thesis 148 en_US |
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碩士 === 國立成功大學 === 交通管理學系碩博士班 === 96 === Trip Origin-Destination (O-D) demand in a transportation network is one of the important components for transportation planning and traffic operation. An O-D matrix estimate can be used to determine travel patterns on a zonal network at a given time period. Traditional means of obtaining an O-D matrix, such as roadside interview, postcard survey and/or license-plate survey are becoming infeasible, because they are constrained by time and monetary resources. With the rapid development of Intelligent Transportation Systems (ITS) and advanced traffic data collection technology, it is easily to estimate O-D matrix by using relatively easily collected link traffic flow obtained from Vehicle Detectors (VDs). Such a traffic flow data collection approach is economically feasible in view of its relatively low cost; however, it is impossible to conduct a full-scale VD deployment plan due to budgetary constraint. Therefore, how to determine the optimum locations of VD deployment to minimize the number of required VDs within the certain accuracy requirement of O-D estimation is a crucial research issue. The purpose of this research is to consider VD deployment locations for O-D demand estimation from partial link traffic flows in a general network.
To deal with the problem of VD deployment under O-D demand estimation consideration methods in linear algebra. Specifically, it is desirable to install VDs on the basis links to collect the link traffic flow information and infer other flow information on linearly dependent links for network O-D trip demand estimation purpose.
The main purpose of this research is to investigate the relationships between observed partial link flow and O-D matrix based on flow conservation rule without the unreasonable assumptions on known prior O-D information and turning proportion or route choice probability, which are generally not known or difficult to observe. Further, it is aimed to find out the critical deployment locations of VDs accordingly.
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author2 |
Shou-Ren Hu |
author_facet |
Shou-Ren Hu Han-Tsung Liou 劉瀚聰 |
author |
Han-Tsung Liou 劉瀚聰 |
spellingShingle |
Han-Tsung Liou 劉瀚聰 Inferring Network Origin-Destination Demands Using Strategic/Partial Link Traffic Flow Information |
author_sort |
Han-Tsung Liou |
title |
Inferring Network Origin-Destination Demands Using Strategic/Partial Link Traffic Flow Information |
title_short |
Inferring Network Origin-Destination Demands Using Strategic/Partial Link Traffic Flow Information |
title_full |
Inferring Network Origin-Destination Demands Using Strategic/Partial Link Traffic Flow Information |
title_fullStr |
Inferring Network Origin-Destination Demands Using Strategic/Partial Link Traffic Flow Information |
title_full_unstemmed |
Inferring Network Origin-Destination Demands Using Strategic/Partial Link Traffic Flow Information |
title_sort |
inferring network origin-destination demands using strategic/partial link traffic flow information |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/09098718823597017650 |
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