Partitioning the time of day for bus schedule optimization

Alperen Bulut; Seda Yanık

doi:10.1007/978-3-030-23756-1_37

Partitioning the time of day for bus schedule optimization

Alperen Bulut, Seda Yanık^*

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

Özet

Time of day partition of bus operating hours is a prerequisite of bus schedule design. Reasonable partition plan is essential to improve the punctuality and level of service. In Istanbul, bus vehicles have been equipped with smart card system. With smart card data passenger boarding time and landing time can be obtained. The number of people between stations in a bus route can be acquired using this boarding and landing time stamps of passengers. In this paper, k-means and fuzzy c-means clustering method will be used and compared to partition the operating day of a bus line in Istanbul into time of day intervals using the bus occupancy rate. Bus occupancy rate will be clustered as low density (very comfortable), normal and overcrowded (disturbing). Membership functions of bus occupancy rates will be based on bus capacity of specified bus route. The resulting clusters could be used in scheduling of bus lines including the frequency and size of buses in different times of day.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Yayınlayan	Springer Verlag
Sayfalar	298-304
Sayfa sayısı	7
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_37
Yayın durumu	Yayınlandı - 2020
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Süre: 23 Tem 2019 → 25 Tem 2019

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1029
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	23/07/19 → 25/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-23756-1_37

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Bulut, A., & Yanık, S. (2020). Partitioning the time of day for bus schedule optimization. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 298-304). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_37

Bulut, Alperen ; Yanık, Seda. / Partitioning the time of day for bus schedule optimization. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 298-304 (Advances in Intelligent Systems and Computing).

@inproceedings{2d73e4f791124cbc8823b0e46cc07019,

title = "Partitioning the time of day for bus schedule optimization",

abstract = "Time of day partition of bus operating hours is a prerequisite of bus schedule design. Reasonable partition plan is essential to improve the punctuality and level of service. In Istanbul, bus vehicles have been equipped with smart card system. With smart card data passenger boarding time and landing time can be obtained. The number of people between stations in a bus route can be acquired using this boarding and landing time stamps of passengers. In this paper, k-means and fuzzy c-means clustering method will be used and compared to partition the operating day of a bus line in Istanbul into time of day intervals using the bus occupancy rate. Bus occupancy rate will be clustered as low density (very comfortable), normal and overcrowded (disturbing). Membership functions of bus occupancy rates will be based on bus capacity of specified bus route. The resulting clusters could be used in scheduling of bus lines including the frequency and size of buses in different times of day.",

keywords = "Bus service measurement, Fuzzy c-means, K-means, Time of day intervals",

author = "Alperen Bulut and Seda Yanık",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2019 ; Conference date: 23-07-2019 Through 25-07-2019",

year = "2020",

doi = "10.1007/978-3-030-23756-1_37",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "298--304",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and A.Cagri Tolga",

booktitle = "Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference",

address = "Germany",

}

Bulut, A & Yanık, S 2020, Partitioning the time of day for bus schedule optimization. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, hac. 1029, Springer Verlag, pp. 298-304, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_37

Partitioning the time of day for bus schedule optimization. / Bulut, Alperen; Yanık, Seda.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 298-304 (Advances in Intelligent Systems and Computing; Hac. 1029).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Partitioning the time of day for bus schedule optimization

AU - Bulut, Alperen

AU - Yanık, Seda

PY - 2020

Y1 - 2020

N2 - Time of day partition of bus operating hours is a prerequisite of bus schedule design. Reasonable partition plan is essential to improve the punctuality and level of service. In Istanbul, bus vehicles have been equipped with smart card system. With smart card data passenger boarding time and landing time can be obtained. The number of people between stations in a bus route can be acquired using this boarding and landing time stamps of passengers. In this paper, k-means and fuzzy c-means clustering method will be used and compared to partition the operating day of a bus line in Istanbul into time of day intervals using the bus occupancy rate. Bus occupancy rate will be clustered as low density (very comfortable), normal and overcrowded (disturbing). Membership functions of bus occupancy rates will be based on bus capacity of specified bus route. The resulting clusters could be used in scheduling of bus lines including the frequency and size of buses in different times of day.

AB - Time of day partition of bus operating hours is a prerequisite of bus schedule design. Reasonable partition plan is essential to improve the punctuality and level of service. In Istanbul, bus vehicles have been equipped with smart card system. With smart card data passenger boarding time and landing time can be obtained. The number of people between stations in a bus route can be acquired using this boarding and landing time stamps of passengers. In this paper, k-means and fuzzy c-means clustering method will be used and compared to partition the operating day of a bus line in Istanbul into time of day intervals using the bus occupancy rate. Bus occupancy rate will be clustered as low density (very comfortable), normal and overcrowded (disturbing). Membership functions of bus occupancy rates will be based on bus capacity of specified bus route. The resulting clusters could be used in scheduling of bus lines including the frequency and size of buses in different times of day.

KW - Bus service measurement

KW - Fuzzy c-means

KW - K-means

KW - Time of day intervals

UR - http://www.scopus.com/inward/record.url?scp=85069466094&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-23756-1_37

DO - 10.1007/978-3-030-23756-1_37

M3 - Conference contribution

AN - SCOPUS:85069466094

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 298

EP - 304

BT - Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A.Cagri

PB - Springer Verlag

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2019

Y2 - 23 July 2019 through 25 July 2019

ER -

Bulut A, Yanık S. Partitioning the time of day for bus schedule optimization. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 298-304. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_37

Partitioning the time of day for bus schedule optimization

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap