Journals / El-Cezeri / 2026 / Cilt: 13 Sayı: 2

Design of a GNSS-Based Bus Stop Positioning and Real-Time Bus Tracking System with Web Map Integration

GNSS Tabanlı Durak Konumlandırma ve Web Harita Entegrasyonlu Gerçek Zamanlı Otobüs İzleme Sisteminin Tasarımı

Fuat Başçiftçi(KARAMANOĞLU MEHMETBEY ÜNİVERSİTESİ)0000-0002-5791-0676
Abdurrahman Palalı(KARAMANOĞLU MEHMETBEY ÜNİVERSİTESİ)0000-0003-4251-634X
Journal
El-Cezeri
Pages
195–204
Publication Date
2026-05-03
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results demonstrate a significant improvement in spatial accuracy and show that the system's scalable structure makes a strong contribution to urban transport management.

📌 3 Key Takeaways

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Objective & Hypothesis:This study presents a comprehensive approach that integrates GNSS-based measurements with web mapping technologies to enhance the spatial accuracy of public transport stops in the city centre of Karaman and digitally strengthen the existing transport information infrastructure.
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Key Findings & Data:Increased mobility in urban public transport, rising user demand for real-time information, and the obsolescence of the existing inventory over time have necessitated the re-measurement of stop locations and their accessibility on a digital platform.
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Conclusion & Impact:The results demonstrate a significant improvement in spatial accuracy and show that the system's scalable structure makes a strong contribution to urban transport management.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Akıllı Ulaşım Sistemleri · Coğrafi Veri Entegrasyonu · GNSS

Abstract

This study presents a comprehensive approach that integrates GNSS-based measurements with web mapping technologies to enhance the spatial accuracy of public transport stops in the city centre of Karaman and digitally strengthen the existing transport information infrastructure. Increased mobility in urban public transport, rising user demand for real-time information, and the obsolescence of the existing inventory over time have necessitated the re-measurement of stop locations and their accessibility on a digital platform. In line with this, in the first phase of the research, all stops across the city were measured in the field using an RTK-supported GNSS receiver, obtaining position information with centimeter accuracy. The coordinates obtained were compared with the route-stop data set obtained from the municipality, incorrect points were corrected, and missing, duplicate, or location-uncertain records were filtered out to create an up-to-date and reliable stop database. In the second phase, real-time location data in JSON format obtained from GPS devices on buses was processed and integrated into an OpenStreetMap-based web map interface using Leaflet.js. The interface offers users an interactive experience with features such as stop search, route filtering, route viewing, and dynamic pop-up information. The results demonstrate a significant improvement in spatial accuracy and show that the system's scalable structure makes a strong contribution to urban transport management.

Özet

Bu çalışma, Karaman il merkezindeki toplu taşıma duraklarına ait konumsal doğruluğu artırmak ve mevcut ulaşım bilgi altyapısını dijital olarak güçlendirmek amacıyla GNSS tabanlı ölçümler ile web harita teknolojilerinin entegre edildiği bütüncül bir yaklaşım sunmaktadır. Kent içi toplu taşımada artan hareketlilik, kullanıcıların gerçek zamanlı bilgi talebinin yükselmesi ve mevcut envanterin zamanla eskimesi, durak konumlarının yeniden ölçülmesini ve dijital bir platformda erişilebilir hâle getirilmesini gerekli kılmıştır. Bu doğrultuda araştırmanın ilk aşamasında, kent genelindeki tüm duraklar RTK destekli GNSS alıcısı ile sahada ölçülmüş, santimetre hassasiyetinde konum bilgileri elde edilmiştir. Elde edilen koordinatlar belediyeden temin edilen hat–durak veri setiyle karşılaştırılmış, hatalı noktalar düzeltilmiş; eksik, yinelenen veya konumu belirsiz kayıtlar ayıklanarak güncel ve güvenilir bir durak veri tabanı oluşturulmuştur. İkinci aşamada ise otobüslerde yer alan GPS cihazlarından alınan JSON formatlı anlık konum verileri işlenmiş ve OpenStreetMap tabanlı web harita arayüzüne Leaflet.js kullanılarak entegre edilmiştir. Arayüz, durak arama, hat filtreleme, güzergâh görüntüleme ve dinamik popup bilgilendirme özellikleri ile kullanıcıya etkileşimli bir deneyim sunmaktadır. Sonuçlar, mekânsal doğruluğun belirgin düzeyde iyileştiğini ve sistemin ölçeklenebilir yapısıyla kentsel ulaşım yönetimine güçlü katkılar sunduğunu göstermektedir.

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Cite This Article

Başçiftçi, F., Palalı, A., Sayad, Ö. (2026). Design of a GNSS-Based Bus Stop Positioning and Real-Time Bus Tracking System with Web Map Integration. El-Cezeri, Cilt: 13 Sayı: 2, 195–204. https://doi.org/10.31202/ecjse.1835852

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References (20)

  1. Karami Z. and Kashef R., Smart transportation planning: Data, models, and algorithms, Transportation Engineering, 2020, 2.
  2. Düzkaya H., Akdemir F., Ulvi H., Orman A., and Sıvat S., An Alternative Railway System for Middle-sized Cities: Erzincan Street Tram Example, El- Cezerî Journal of Science and Engineering, 2018, 5(2), pp. 403-415.
  3. Uçarlı A.C., İlçi V., Par K., and Peker A.U., Investigation of the effect of multiple GNSS satellite systems usage on position accuracy in automated vehicles, Nigde Omer Halisdemir University Journal of Engineering Sciences, 2022, 11(3), pp. 672-680.
  4. Stefan F., Gerd K., Reza R., Marcus H., Umer I., and Pedro M.n., Micro-Navigation for Urban Bus Passengers: Using the Internet of Things to Improve the Public Transport Experience, in In Proceedings of the First International Conference on IoT in Urban Space, 2014, Rome, Italy.
  5. Minetto A., Dovis F., Vesco A., Garcia-Fernandez M., López-Cruces À., Trigo J.L., Molina M., Pérez-Conesa A., Gáñez-Fernández J., Seco-Granados G., and López-Salcedo J.A., A Testbed for GNSS-Based Positioning and Navigation Technologies in Smart Cities: The HANSEL Project, Smart Cities, 2020, 3(4), pp. 1219-1241.
  6. Stipancic J., Saunier N., Navidi N., Racine E.B., Miranda-Moreno L., and Labbe A., Evaluating Map Matching Algorithms for Smartphone GNSS Data: Matching Vehicle Trajectories to an Urban Road Network, Transportation Research Procedia, 2025, 82, pp. 303-322.
  7. Ibarra-Rojas O.J., Delgado F., Giesen R., and Muñoz J.C., Planning, operation, and control of bus transport systems: A literature review, Transportation Research Part B: Methodological, 2015, 77, pp. 38-75.
  8. Al Shammary N.M. and Saudagar A.K.J., Smart Transportation Application using Global Positioning System, International Journal of Advanced Computer Science and Applications, 2015, 6(6), pp. 49-54.
  9. Derrow-Pinion A., She J., Wong D., Lange O., Hester T., Perez L., Nunkesser M., Lee S., Guo X., Wiltshire B., Battaglia P.W., Gupta V., Li A., Xu Z., Sanchez-Gonzalez A., Li Y., and Velickovic P., ETA Prediction with Graph Neural Networks in Google Maps, in Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021. pp. 3767-3776.
  10. Goel R., Garcia L.M.T., Goodman A., Johnson R., Aldred R., Murugesan M., Brage S., Bhalla K., and Woodcock J., Estimating city-level travel patterns using street imagery: A case study of using Google Street View in Britain, PLoS One, 2018, 13(5), pp. e0196521.
  11. Battal A., Avcı Y.E., and Tuncer A., Real-Time Detection of Vehicle Queue States in Urban Traffic Using Deep Learning, El-Cezerî Journal of Science and Engineering, 2025, 12(3), pp. 356-364.
  12. KGM, Karayolları Genel Müdürlüğü (KGM). Akıllı Ulaşım Sistemleri Projesi. 2025 01.11.2025, Available from: https://www.kgm.gov.tr/Sayfalar/KGM/SiteTr/Projeler/AkilliUlasimSistemleri.aspx.
  13. Hasan T., Akıllı ulaşım sistemleri uygulamaları ve Türkiye için bir AUS mimarisi önerisi, Ulaştırma, Denizcilik ve Haberleşme Bakanlığı, 2014.
  14. Çapali B., Intelligent Transportation Systems Architecture: Recommendation for K-AUS, El-Cezerî Journal of Science and Engineering, 2022, 9(4), pp. 1249-1254.
  15. Elassy M., Al-Hattab M., Takruri M., and Badawi S., Intelligent transportation systems for sustainable smart cities, Transportation Engineering, 2024, 16.
  16. Van Manh D. and Hai D.T., Development of a Sustainable National Traffic Information Notification System: A GNSS-Based with Enhanced-LSTM for Urban Road Traffic Speed Forecasting, International Journal of Intelligent Transportation Systems Research, 2025, 23(1), pp. 489-502.
  17. Türkiye İstatistik Kurumu. TÜİK Resmi Web Sitesi. 2024 27.10.2025, Available from: https://www.tuik.gov.tr/.
  18. Ceylan A. and Çalhan A., Human Security with Open-Source Map and Mobile Software, El-Cezerî Journal of Science and Engineering, 2016, 3(3), pp. 479-484.
  19. Raza S., Al-Kaisy A., Teixeira R., and Meyer B., The Role of GNSS-RTN in Transportation Applications, Encyclopedia, 2022, 2(3), pp. 1237-1249.
  20. Ogutcu S., The contribution of Multi-GNSS Experiment (MGEX) to precise point positioning over Turkey: Consideration of observation time and satellite geometry, El-Cezerî Journal of Science and Engineering, 2019, 6(3), pp. 642-658.