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Determination of Vehicle Type by Image Classification Methods for a Sample Traffic Intersection in Isparta Province

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Trends in Data Engineering Methods for Intelligent Systems (ICAIAME 2020)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 76))

Abstract

Today, technologies related to artificial intelligence are used in almost every area of life. Scientists are working to maximize the predictive accuracy of artificial intelligence. Thus, they aim to reduce human errors. They also aim to make human life more comfortable by using artificial intelligence technology. Artificial intelligence models are tried on various data sets, and various analyzes are carried out to increase accuracy. In this study, a data set of vehicle types was created at an intersection in Isparta city center. Classification studies were performed with Capsule Networks and Convolutional Neural Networks (CNN) on this data set. Besides, some parameters were changed, and the accuracy of the models was observed. The results are given in the form of a table.

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Acknowledgment

We would like to thank the Isparta Directorate of Transportation and Traffic Services for providing the data set that constitutes a resource for the study.

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Authors and Affiliations

  1. Faculty of Technology, Electrical and Electronics Engineering, Isparta University of Applied Sciences, Isparta, 32200, Turkey

    Fatmanur Ateş & Ramazan Şenol

  2. Faculty of Technology Mechatronics Engineering, Isparta University of Applied Sciences, Isparta, 32200, Turkey

    Osamah Salman & Bekir Aksoy

Authors
  1. Fatmanur Ateş
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  2. Osamah Salman
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  3. Ramazan Şenol
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  4. Bekir Aksoy
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Corresponding author

Correspondence to Fatmanur Ateş .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Karunya University, Coimbatore, Tamil Nadu, India

    Jude Hemanth

  2. Department of Computer Engineering, Faculty of Engineering, Süleyman Demirel University, Isparta, Turkey

    Tuncay Yigit

  3. Department of Computer Science, Alexandru Ioan Cuza University, Iasi, Romania

    Bogdan Patrut

  4. Department of Computer Science and Engineering, University of Westminster, London, UK

    Anastassia Angelopoulou

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Ateş, F., Salman, O., Şenol, R., Aksoy, B. (2021). Determination of Vehicle Type by Image Classification Methods for a Sample Traffic Intersection in Isparta Province. In: Hemanth, J., Yigit, T., Patrut, B., Angelopoulou, A. (eds) Trends in Data Engineering Methods for Intelligent Systems. ICAIAME 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-79357-9_42

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