Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2022, , 579 - 588, 16.01.2023
https://doi.org/10.26650/JTL.2022.1192128

Öz

Kaynakça

  • Barry, J.J., R. Newhouser, A. Rahbee, and S. Sayeda, 2002, “Origin and Destination Estimation in New York City with Automated Fare System Data.” Transportation Research Record 1817 (1): 183–87.
  • Cui, A., 2006, Bus Passenger Origin-Destination Matrix Estimation Using Automated Data Collection Systems. M.Sc. Thesis, Massachusetts Institute of Technology.
  • Fidanoglu, A., 2015, Origin and Destination Inference of Bus Passengers: Istanbul Case Study. M.Sc. Thesis, Boğaziçi University.
  • Gordon, J.B., H.N. Koutsopoulos, and N.H.M. Wilson, 2018, “Estimation of Population Origin–Interchange– Destination Flows on Multimodal Transit Networks.” Transportation Research Part C: Emerging Technologies 90 (May): 350–65.
  • Jung, J., and K. Sohn, 2017, “Deep‐learning Architecture to Forecast Destinations of Bus Passengers from Entry‐only Smart‐card Data.” IET Intelligent Transport Systems 11 (6): 334–39.
  • Munizaga, M.A., and C. Palma, 2012, “Estimation of a Disaggregate Multimodal Public Transport Origin- Destination Matrix from Passive Smartcard Data from Santiago, Chile.” Transportation Research Part C: Emerging Technologies 24 (October): 9–18.
  • Sánchez-Martínez, G.E., 2017, “Inference of Public Transportation Trip Destinations by Using Fare Transaction and Vehicle Location Data: Dynamic Programming Approach.” Transportation Research Record 2652 (January): 1–7.
  • Trépanier, M., N. Tranchant, and R. Chapleau, 2007, “Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System.” Journal of Intelligent Transportation Systems: Technology, Planning, and Operations 11 (1): 1–14.
  • Wang, W., J.P. Attanucci, and N.H.M. Wilson, 2011, “Bus Passenger Origin-Destination Estimation and Related Analyses Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems Background and Purpose.” Journal of Public Transportation 14 (4).
  • Zhao, J., A. Rahbee, and N.H.M. Wilson, 2007, “Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems.” Computer-Aided Civil and Infrastructure Engineering 22(5): 376–87.

A Method for Public Transit OD Estimation Using Transit Smart Card Data

Yıl 2022, , 579 - 588, 16.01.2023
https://doi.org/10.26650/JTL.2022.1192128

Öz

With the utilization of Intelligent Transportation Systems (ITS) in public transportation (PT), trip data of passengers are recorded continuously by transit agencies. Researchers developed various algorithms to infer the origin and destination (OD) points of the PT users by using their transit smart card data. The origin and destination matrix is a very vital metric that can help the authorities to analyze public transportation. This study suggests a comprehensive method for OD inference of trips taken on public transportation. The OD pairs of the trips that cannot be inferred using chaining trips are found using the trip histories of the passengers. For the trips that have no further information, we used the overall OD distribution of the studied route.

Kaynakça

  • Barry, J.J., R. Newhouser, A. Rahbee, and S. Sayeda, 2002, “Origin and Destination Estimation in New York City with Automated Fare System Data.” Transportation Research Record 1817 (1): 183–87.
  • Cui, A., 2006, Bus Passenger Origin-Destination Matrix Estimation Using Automated Data Collection Systems. M.Sc. Thesis, Massachusetts Institute of Technology.
  • Fidanoglu, A., 2015, Origin and Destination Inference of Bus Passengers: Istanbul Case Study. M.Sc. Thesis, Boğaziçi University.
  • Gordon, J.B., H.N. Koutsopoulos, and N.H.M. Wilson, 2018, “Estimation of Population Origin–Interchange– Destination Flows on Multimodal Transit Networks.” Transportation Research Part C: Emerging Technologies 90 (May): 350–65.
  • Jung, J., and K. Sohn, 2017, “Deep‐learning Architecture to Forecast Destinations of Bus Passengers from Entry‐only Smart‐card Data.” IET Intelligent Transport Systems 11 (6): 334–39.
  • Munizaga, M.A., and C. Palma, 2012, “Estimation of a Disaggregate Multimodal Public Transport Origin- Destination Matrix from Passive Smartcard Data from Santiago, Chile.” Transportation Research Part C: Emerging Technologies 24 (October): 9–18.
  • Sánchez-Martínez, G.E., 2017, “Inference of Public Transportation Trip Destinations by Using Fare Transaction and Vehicle Location Data: Dynamic Programming Approach.” Transportation Research Record 2652 (January): 1–7.
  • Trépanier, M., N. Tranchant, and R. Chapleau, 2007, “Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System.” Journal of Intelligent Transportation Systems: Technology, Planning, and Operations 11 (1): 1–14.
  • Wang, W., J.P. Attanucci, and N.H.M. Wilson, 2011, “Bus Passenger Origin-Destination Estimation and Related Analyses Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems Background and Purpose.” Journal of Public Transportation 14 (4).
  • Zhao, J., A. Rahbee, and N.H.M. Wilson, 2007, “Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems.” Computer-Aided Civil and Infrastructure Engineering 22(5): 376–87.
Toplam 10 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İnşaat Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Akif Fidanoglu 0000-0003-1227-4984

Ilgın Gökaşar 0000-0001-9896-9220

Yayımlanma Tarihi 16 Ocak 2023
Gönderilme Tarihi 20 Ekim 2022
Kabul Tarihi 3 Ocak 2023
Yayımlandığı Sayı Yıl 2022

Kaynak Göster

APA Fidanoglu, A., & Gökaşar, I. (2023). A Method for Public Transit OD Estimation Using Transit Smart Card Data. Journal of Transportation and Logistics, 7(2), 579-588. https://doi.org/10.26650/JTL.2022.1192128
AMA Fidanoglu A, Gökaşar I. A Method for Public Transit OD Estimation Using Transit Smart Card Data. JTL. Ocak 2023;7(2):579-588. doi:10.26650/JTL.2022.1192128
Chicago Fidanoglu, Akif, ve Ilgın Gökaşar. “A Method for Public Transit OD Estimation Using Transit Smart Card Data”. Journal of Transportation and Logistics 7, sy. 2 (Ocak 2023): 579-88. https://doi.org/10.26650/JTL.2022.1192128.
EndNote Fidanoglu A, Gökaşar I (01 Ocak 2023) A Method for Public Transit OD Estimation Using Transit Smart Card Data. Journal of Transportation and Logistics 7 2 579–588.
IEEE A. Fidanoglu ve I. Gökaşar, “A Method for Public Transit OD Estimation Using Transit Smart Card Data”, JTL, c. 7, sy. 2, ss. 579–588, 2023, doi: 10.26650/JTL.2022.1192128.
ISNAD Fidanoglu, Akif - Gökaşar, Ilgın. “A Method for Public Transit OD Estimation Using Transit Smart Card Data”. Journal of Transportation and Logistics 7/2 (Ocak 2023), 579-588. https://doi.org/10.26650/JTL.2022.1192128.
JAMA Fidanoglu A, Gökaşar I. A Method for Public Transit OD Estimation Using Transit Smart Card Data. JTL. 2023;7:579–588.
MLA Fidanoglu, Akif ve Ilgın Gökaşar. “A Method for Public Transit OD Estimation Using Transit Smart Card Data”. Journal of Transportation and Logistics, c. 7, sy. 2, 2023, ss. 579-88, doi:10.26650/JTL.2022.1192128.
Vancouver Fidanoglu A, Gökaşar I. A Method for Public Transit OD Estimation Using Transit Smart Card Data. JTL. 2023;7(2):579-88.



The JTL is being published twice (in April and October of) a year, as an official international peer-reviewed journal of the School of Transportation and Logistics at Istanbul University.