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Makale detayı · 2022 · article

Predicting the Time of Bus Arrival for Public Transportation by Time Series Models

Dergi Journal of Transportation and Logistics
ISSN2459-1718
YÖKSİS OpenAlex Açık erişim · diamond TR Index
Yıl2022
Atıf4OpenAlex
Yüzdelik%52,0
FWCI0,291,00 = dünya ortalaması

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıJournal of Transportation and Logistics
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex İngilizce

Bus arrival time prediction is a key factor in passenger satisfaction and bus usage. Bus arrival time information reduces both passenger anxiety and their waiting time at the bus stop. Therefore, giving passengers accurate bus arrival time information is very important in public transportation. Various time series prediction methods are used for bus arrival time in this paper. Moreover, five different performance measurements are considered to assess the accuracy of the prediction models. A case study is presented using real data from Istanbul, Turkey for the proposed models. The models predict bus arrival time on a route for its different segments. The results of the proposed models are compared according to performance measures. The model with the best accuracy result among the eight prediction models can support service operators and the authorities in obtaining better passenger satisfaction.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

4atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 2 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2024 Classification of Traffic Signs Using Transfer Learning MethodsAtıf 2 · OpenAlex
  2. 2024 Transfer Öğrenme Yöntemleri Kullanılarak Trafik İşaretlerinin SınıflandırılmasıAtıf 2 · OpenAlex

Yazarlar

3
  1. SÜLEYMAN METE GAZİANTEP ÜNİVERSİTESİ 1
  2. ERKAN ÇELİK 2
  3. MUHAMMET GÜL 3