東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Integrated model for highway-based t...

Lo, Shih-Che.

FindBook

Google Book

Amazon

博客來

Integrated model for highway-based travel time forecasting with application to truck transportation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Integrated model for highway-based travel time forecasting with application to truck transportation./
作者:	Lo, Shih-Che.
面頁冊數:	157 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4766.
Contained By:	Dissertation Abstracts International65-09B.
標題:	Engineering, Industrial. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3145237
ISBN:	0496047760

Integrated model for highway-based travel time forecasting with application to truck transportation.
Lo, Shih-Che.

Integrated model for highway-based travel time forecasting with application to truck transportation. - 157 p.

Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4766.

Thesis (Ph.D.)--University of Southern California, 2004.

Highways are increasingly congested in metropolitan areas, especially in major cities that rely on highway transportation. As a consequence, travel time forecasting on highways has become an active research field, playing an important role in Intelligent Transportation Systems (ITS) and Advanced Traveler Information Systems (ATIS). Based on current traffic information and forecasting techniques, fuzzy methods were created in this thesis to predict highway travel time to support decisions for travelers and transportation industries in real-time. The method starts from analyzing real-time data from single loop detectors and ultimately provides real-time travel time estimation for whole trips.

ISBN: 0496047760Subjects--Topical Terms:

626639
Engineering, Industrial.

Integrated model for highway-based travel time forecasting with application to truck transportation.
LDR:03318nmm 2200313 4500 001 1816510
005 20060717100348.5
008 130610s2004 eng d
020 $a 0496047760
035 $a (UnM)AAI3145237
035 $a AAI3145237
040 $a UnM $c UnM
100 1 $a Lo, Shih-Che. $3 1905888
245 1 0 $a Integrated model for highway-based travel time forecasting with application to truck transportation.
300 $a 157 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-09, Section: B, page: 4766.
500 $a Adviser: Randolph W. Hall.
502 $a Thesis (Ph.D.)--University of Southern California, 2004.
520 $a Highways are increasingly congested in metropolitan areas, especially in major cities that rely on highway transportation. As a consequence, travel time forecasting on highways has become an active research field, playing an important role in Intelligent Transportation Systems (ITS) and Advanced Traveler Information Systems (ATIS). Based on current traffic information and forecasting techniques, fuzzy methods were created in this thesis to predict highway travel time to support decisions for travelers and transportation industries in real-time. The method starts from analyzing real-time data from single loop detectors and ultimately provides real-time travel time estimation for whole trips.
520 $a Two applications, truck-to-air connectivity and forecasts during a transit strike, were used to demonstrate the real-time travel time forecasting model. Express Package Transport carriers operate many local terminals within major cities as well as hub terminals. Trucks depart from local terminals carrying express shipments to airports with sorting facilities at the end of each day. It is important for trucks to arrive on time and for shipments to be processed on time, because truck delay can postpone sorting procedures and transferring processes. Another application that we investigated is travel time forecasting during a transit strike. Highways are especially susceptible to congestion during strikes because travelers have little opportunity to adjust and equilibrate their travel patterns. Hence, the prediction of travel time becomes more important for transportation industries during strikes.
520 $a A practical website was implemented along with the application of truck-to-air connectivity. We acquire real-time traffic information from loop detectors on highways and calculate real-time travel times for each truck schedule. By implementing a web-based decision support tool with real-time travel time forecasting, outbound aircraft from express companies can depart on schedule. The experiments conducted show that the fuzzy model can predict travel time during peak periods and abnormal traffic conditions. Morning rush hours, evening rush hours, and incident conditions have been evaluated to test the models. The proposed fuzzy model performed better then a Weighted Moving Average Model for the traffic conditions investigated.
590 $a School code: 0208.
650 4 $a Engineering, Industrial. $3 626639
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Transportation. $3 555912
690 $a 0546
690 $a 0790
690 $a 0709
710 2 0 $a University of Southern California. $3 700129
773 0 $t Dissertation Abstracts International $g 65-09B.
790 1 0 $a Hall, Randolph W., $e advisor
790 $a 0208
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3145237