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A traffic flow simulator for driver ...

Xu, Gang.

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A traffic flow simulator for driver information system.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A traffic flow simulator for driver information system./
作者:	Xu, Gang.
面頁冊數:	306 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6226.
Contained By:	Dissertation Abstracts International64-12B.
標題:	Engineering, Civil. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3117397
ISBN:	0496648217

A traffic flow simulator for driver information system.
Xu, Gang.

A traffic flow simulator for driver information system. - 306 p.

Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6226.

Thesis (Ph.D.)--Hong Kong Polytechnic University (People's Republic of China), 2003.

A traffic flow simulator (TFS) is proposed in this thesis for deriving the prevailing traffic condition of the road network based on partial traffic count. The TFS integrates origin-destination (OD) matrix estimation with the probit-type stochastic user equilibrium (SUE) assignment problem. When short-term traffic forecasts are available at the locations with historical and prevailing detector data, the TFS can be extended for prediction of short-term traffic condition under the context of the driver information system (DIS) as well as fleet management and logistics.

ISBN: 0496648217Subjects--Topical Terms:

783781
Engineering, Civil.

A traffic flow simulator for driver information system.
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245 1 2 $a A traffic flow simulator for driver information system.
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500 $a Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6226.
500 $a Supervisor: William Hing-keung Lam.
502 $a Thesis (Ph.D.)--Hong Kong Polytechnic University (People's Republic of China), 2003.
520 $a A traffic flow simulator (TFS) is proposed in this thesis for deriving the prevailing traffic condition of the road network based on partial traffic count. The TFS integrates origin-destination (OD) matrix estimation with the probit-type stochastic user equilibrium (SUE) assignment problem. When short-term traffic forecasts are available at the locations with historical and prevailing detector data, the TFS can be extended for prediction of short-term traffic condition under the context of the driver information system (DIS) as well as fleet management and logistics.
520 $a In summary, the first contribution of this thesis is the incorporation of link flow variance and covariance information in the OD estimation. One of the advantages of using probit-type SUE model in the TFS is the availability of variance and covariance matrix of link flows. Previous OD estimation models are based only on partial traffic count and prior OD matrix, but link flow variance and covariance information have not been considered. It is shown that additional information on link flow variance and covariance can help to improve the performance of OD estimation and the short-term forecasting of link flows and travel times for DIS.
520 $a Calibration of the TFS is the second contribution of this thesis. As the variance and covariance of link flow is induced by distribution of driver perception error and travel demand variation, two parameters in the TFS, the perceived error coefficient and the OD variation coefficient, need to be calibrated before the TFS can be applied in practice. Various calibration measures are discussed and appropriate measures are identified for TFS calibration. Due to the complexity of the probit-type SUE model, a stochastic optimizing technique, the genetic algorithm (GA), is employed to calibrate the TFS.
520 $a The third contribution of this thesis is two extensions made for the TFS. The distribution of perception error on path travel time of one driver may not be the same as another owing to different associated characteristics such as trip regularity, driving experience or trip purpose. Hence, multiple-user-class dimension is introduced to the TFS so as to accommodate different route choice behaviour across drivers. The multiple-user-class TFS is then used to assess the impacts of the DIS particularly on network travel time reliability that is defined as the probability of a trip can be finished within a given period of time. (Abstract shortened by UMI.)
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791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3117397