語系:
繁體中文
English
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
Designing Feeder Bus Routes by Using...
~
Abdulrahman, Hassan Shuaibu.
FindBook
Google Book
Amazon
博客來
Designing Feeder Bus Routes by Using Smart Card Data = = Otobus Besleme Guzergahlarinin Akilli Kart Verileri Kullanilarak Tasarlanmasi.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Designing Feeder Bus Routes by Using Smart Card Data =/
其他題名:
Otobus Besleme Guzergahlarinin Akilli Kart Verileri Kullanilarak Tasarlanmasi.
作者:
Abdulrahman, Hassan Shuaibu.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
157 p.
附註:
Source: Dissertations Abstracts International, Volume: 85-08, Section: B.
Contained By:
Dissertations Abstracts International85-08B.
標題:
Socioeconomic factors. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30834269
ISBN:
9798381583465
Designing Feeder Bus Routes by Using Smart Card Data = = Otobus Besleme Guzergahlarinin Akilli Kart Verileri Kullanilarak Tasarlanmasi.
Abdulrahman, Hassan Shuaibu.
Designing Feeder Bus Routes by Using Smart Card Data =
Otobus Besleme Guzergahlarinin Akilli Kart Verileri Kullanilarak Tasarlanmasi. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 157 p.
Source: Dissertations Abstracts International, Volume: 85-08, Section: B.
Thesis (Ph.D.)--Dokuz Eylul Universitesi (Turkey), 2021.
Attempts have been made of over decades to design a more efficient and yet sustainable transportation system by using different mass transportation systems. A simple form of this, is the intermodal transportation system which can be described by feeder bus route design problem (FBRNDP). One of the fundamental components of transit planning is the estimation of origin-destination (O-D) matrix. Collecting such data, however, is extremely difficult and expensive using traditional paper-surveybased approaches which are rarely available. Therefore, a new data source was explored in the form of transit smart cards. This spatio-temporal data is most important for any meaningful transit smart card studies, and even so, if they are used alongside other data sources such as data base management system and geographic information systems, their potential can be harnessed. Multiple Traveling Salesman Problem (MTSP) is similar to FBRNDP in which there are many origins and one destination. The main purpose of this research is to develop a methodology for the planning of public feeder bus routes by using smart card data, transit network with existing bus stop coordinates and a distance optimization algorithm. In this study, important aspects of feeder bus route network design are highlighted, a method for the determining of potential feeder bus stop location developed, and a modified genetic algorithm was used to solve FBRNDP. The methodology was used to design a new feeder bus routes, and the best solution was selected via pareto efficiency and minimized total system cost.
ISBN: 9798381583465Subjects--Topical Terms:
3435444
Socioeconomic factors.
Designing Feeder Bus Routes by Using Smart Card Data = = Otobus Besleme Guzergahlarinin Akilli Kart Verileri Kullanilarak Tasarlanmasi.
LDR
:02791nmm a2200385 4500
001
2399253
005
20240909100804.5
006
m o d
007
cr#unu||||||||
008
251215s2021 ||||||||||||||||| ||eng d
020
$a
9798381583465
035
$a
(MiAaPQ)AAI30834269
035
$a
(MiAaPQ)DokuzEyluld5cc090770de4bab891b31314def049a
035
$a
AAI30834269
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Abdulrahman, Hassan Shuaibu.
$3
3769227
245
1 0
$a
Designing Feeder Bus Routes by Using Smart Card Data =
$b
Otobus Besleme Guzergahlarinin Akilli Kart Verileri Kullanilarak Tasarlanmasi.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2021
300
$a
157 p.
500
$a
Source: Dissertations Abstracts International, Volume: 85-08, Section: B.
500
$a
Advisor: Ozuysal, Mustafa.
502
$a
Thesis (Ph.D.)--Dokuz Eylul Universitesi (Turkey), 2021.
520
$a
Attempts have been made of over decades to design a more efficient and yet sustainable transportation system by using different mass transportation systems. A simple form of this, is the intermodal transportation system which can be described by feeder bus route design problem (FBRNDP). One of the fundamental components of transit planning is the estimation of origin-destination (O-D) matrix. Collecting such data, however, is extremely difficult and expensive using traditional paper-surveybased approaches which are rarely available. Therefore, a new data source was explored in the form of transit smart cards. This spatio-temporal data is most important for any meaningful transit smart card studies, and even so, if they are used alongside other data sources such as data base management system and geographic information systems, their potential can be harnessed. Multiple Traveling Salesman Problem (MTSP) is similar to FBRNDP in which there are many origins and one destination. The main purpose of this research is to develop a methodology for the planning of public feeder bus routes by using smart card data, transit network with existing bus stop coordinates and a distance optimization algorithm. In this study, important aspects of feeder bus route network design are highlighted, a method for the determining of potential feeder bus stop location developed, and a modified genetic algorithm was used to solve FBRNDP. The methodology was used to design a new feeder bus routes, and the best solution was selected via pareto efficiency and minimized total system cost.
590
$a
School code: 5972.
650
4
$a
Socioeconomic factors.
$3
3435444
650
4
$a
Public transportation.
$3
3564907
650
4
$a
Buses.
$3
870578
650
4
$a
Clustering.
$3
3559215
650
4
$a
Vehicles.
$3
2145288
650
4
$a
Scheduling.
$3
750729
650
4
$a
Sensitivity analysis.
$3
3560752
650
4
$a
Planning.
$3
552734
650
4
$a
Genetic algorithms.
$3
533907
650
4
$a
Design.
$3
518875
650
4
$a
Geographic information systems.
$3
542758
650
4
$a
Neighborhoods.
$3
993475
650
4
$a
Cities.
$3
3544022
650
4
$a
Passengers.
$3
3562931
650
4
$a
Geographic information science.
$3
3432445
650
4
$a
Information technology.
$3
532993
650
4
$a
Sociology.
$3
516174
650
4
$a
Transportation.
$3
555912
690
$a
0389
690
$a
0800
690
$a
0501
690
$a
0370
690
$a
0489
690
$a
0626
690
$a
0709
710
2
$a
Dokuz Eylul Universitesi (Turkey).
$3
3707274
773
0
$t
Dissertations Abstracts International
$g
85-08B.
790
$a
5972
791
$a
Ph.D.
792
$a
2021
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30834269
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9507573
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入