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Incident delay analysis and estimation.

Qi, Yi.

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Incident delay analysis and estimation.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Incident delay analysis and estimation./
作者:	Qi, Yi.
面頁冊數:	124 p.
附註:	Adviser: Hualiang (Harry) Teng.
Contained By:	Dissertation Abstracts International63-12B.
標題:	Engineering, Civil. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3073675
ISBN:	0493936300

Incident delay analysis and estimation.
Qi, Yi.

Incident delay analysis and estimation. - 124 p.

Adviser: Hualiang (Harry) Teng.

Thesis (Ph.D.)--Polytechnic University, 2002.

An incident delay model was developed for identifying the influencing factors on the delay caused by incidents and estimating the delay for the application purposes in both transportation planning and Intelligent Transportation Systems (ITS).

ISBN: 0493936300Subjects--Topical Terms:

783781
Engineering, Civil.

Incident delay analysis and estimation.
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500 $a Adviser: Hualiang (Harry) Teng.
500 $a Source: Dissertation Abstracts International, Volume: 63-12, Section: B, page: 5987.
502 $a Thesis (Ph.D.)--Polytechnic University, 2002.
520 $a An incident delay model was developed for identifying the influencing factors on the delay caused by incidents and estimating the delay for the application purposes in both transportation planning and Intelligent Transportation Systems (ITS).
520 $a For planning purposes, a three-level incident delay model was developed to estimate the average delay caused by incidents on a roadway segment. In this incident delay model, based on the queuing diagram method, incident delay was expressed as a function of incident duration, severity and frequency, each of which was further modeled by advanced econometric models. As a result, the factors that influence incident delay were identified by investigating the impact of the factors that influence these three characteristics of incidents: duration, severity and frequency.
520 $a For Intelligent Transportation System (ITS) purposes, an on-line incident delay model was developed for real time incident delay estimation. This incident delay model predicts the average remaining travel delay for the motorists in the queue caused by an incident by taking account of the length of time an incident has lasted. This on-line incident delay model is developed based on an on-line incident duration prediction model, which predicts the remaining incident duration. Furthermore, the information available at different stages of the incident clearance process was taken into account by this on-line incident delay model.
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