Neural Network Based Vehicular Location Prediction Model for Cooperative Active Safety Systems

  • Murat Dörterler Gazi University, Faculty of Technology, Department of Computer Engineering
  • Ömer Faruk Bay Gazi University, Faculty of Technology, Department of Electrical - Electronics Engineering
DOI: https://doi.org/10.7307/ptt.v30i2.2500
Keywords: cooperative active safety systems, inter-vehicular communication, vehicular location prediction, artificial neural networks,

Abstract

Safety systems detect unsafe conditions and provide warnings for travellers to take action and avoid crashes. Estimation of the geographical location of a moving vehicle as to where it will be positioned next with high precision and short computation time is crucial for identifying dangers. To this end, navigational and dynamic data of a vehicle are processed in connection with the data received from neighbouring vehicles and infrastructure in the same vicinity. In this study, a vehicular location prediction model was developed using an artificial neural network for cooperative active safety systems. The model is intended to have a constant, shorter computation time as well as higher accuracy features. The performance of the proposed model was measured with a real-time testbed developed in this study. The results are compared with the performance of similar studies and the proposed model is shown to deliver a better performance than other models.

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Murat Dörterler, Gazi University, Faculty of Technology, Department of Computer Engineering
Murat DÖRTERLER, Received the BS degree in Departmant of Electronics and Computer from Gazi University in 2005. He received MSc and PhD degrees in Electronics-Computer from Gazi University 2008 and 2013 respectively. He is currently working as researcher at  Department of Computer, EngineeringFaculty of Technology, Gazi University.

His research interests in Intelligent Transportation Systems, Artificial Intelligence, Cloud computing system, Embedded Systems, Internet of Things, Internet Technologies, Vehicular Ad Hoc Networks.
Ömer Faruk Bay, Gazi University, Faculty of Technology, Department of Electrical - Electronics Engineering
Omer Faruk BAY, Received the BS degree in Electrical - Electronics from Gazi University in 1985.  He studied Electrical Engineering Technology at Purdue University in USA for 9 months in 1990. He received MSc and PhD degrees in Electrical - Electronics Engineering from Erciyes University in 1992 and 1996 respectively. He is currently professor at Department of Electrical - Electronics, Faculty of Technology, Gazi University.

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Published
2018-04-20
How to Cite
1.
Dörterler M, Bay Ömer F. Neural Network Based Vehicular Location Prediction Model for Cooperative Active Safety Systems. Promet [Internet]. 2018Apr.20 [cited 2024Dec.22];30(2):205-1. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/2500
Issue
Vol 30 No 2 (2018)
Section
Articles

Copyright (c) 2018 Murat DORTERLER, Omer Faruk Bay

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