東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Statistical topics in transportation...

Zhang, Xiaoyan.

Linked to FindBook

Google Book

Amazon

博客來

Statistical topics in transportation studies.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistical topics in transportation studies./
Author:	Zhang, Xiaoyan.
Description:	113 p.
Notes:	Chair: John A. Rice.
Contained By:	Dissertation Abstracts International63-03B.
Subject:	Engineering, System Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3044756
ISBN:	0493586555

Statistical topics in transportation studies.
Zhang, Xiaoyan.

Statistical topics in transportation studies. - 113 p.

Chair: John A. Rice.

Thesis (Ph.D.)--University of California, Berkeley, 2001.

All results in the dissertation are based on real loop detector data sets. One of the contributions of the dissertation is to present examples of dealing with data quality issues in loop detector data.

ISBN: 0493586555Subjects--Topical Terms:

1018128
Engineering, System Science.

Statistical topics in transportation studies.
LDR:01999nam 2200313 a 45 001 934933
005 20110509
008 110509s2001 eng d
020 $a 0493586555
035 $a (UnM)AAI3044756
035 $a AAI3044756
040 $a UnM $c UnM
100 1 $a Zhang, Xiaoyan. $3 1025232
245 1 0 $a Statistical topics in transportation studies.
300 $a 113 p.
500 $a Chair: John A. Rice.
500 $a Source: Dissertation Abstracts International, Volume: 63-03, Section: B, page: 1420.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2001.
520 $a All results in the dissertation are based on real loop detector data sets. One of the contributions of the dissertation is to present examples of dealing with data quality issues in loop detector data.
520 $a In recent years, the advances in traffic surveillance technologies have resulted in huge amounts of transportation data. The dissertation covers several topics concerned with understanding a particular type of traffic data—those collected by loop detectors, and with studying travel time estimation and prediction methods using such data.
520 $a We have been motivated to study the loop detector data because it has become the predominant source of traffic data, due to its low cost and technological maturity. The dissertation is consisted of three parts. We first present an informative visualization technique to mine large loop detector data sets in Chapter 3. Chapter 4 describes an empirical evaluation of travel time estimation methods using single-loop data. Lastly, we propose a short-term travel time prediction method using a linear model with time-varying coefficients in Chapter 5.
590 $a School code: 0028.
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Statistics. $3 517247
650 4 $a Transportation. $3 555912
690 $a 0463
690 $a 0709
690 $a 0790
710 2 0 $a University of California, Berkeley. $3 687832
773 0 $t Dissertation Abstracts International $g 63-03B.
790 $a 0028
790 1 0 $a Rice, John A., $e advisor
791 $a Ph.D.
792 $a 2001
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3044756