Gerçek zamanlı araç takibi ve arıza tespit sistemi
2019
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Danışman: Dr. Öğr. Üyesi Reyat Yılmaz
Özet (EN)
Despite the existence of the vehicles' communication standards and protocols with the external world, the importance of the data exchange in vehicles is having a lot of meaning in recent years with the digitalization of the world and getting connected of the things and people. Besides, with the evolution of Long Term Evolution (LTE) and 5G mobile communication systems, Internet of Things (IoT) concept and cloud technologies have been growing increasingly since the data exchange and connectivity require reliable and fast communication systems. All those consequences and developing vehicle technologies have inspired to do work of this thesis. In this paper, vehicles' On-Board Diagnostics (OBD) system has been researched and a new concept developed to obtain and use the data from the vehicles basically as for the security, controllability, and energy consumption topics. Within the scope, the following subjects are studied: (i) regardless of the communication protocol of the vehicles a generic embedded system is designed to communicate and adapt to the vehicles OBD interface, (ii) a cloud-based platform is used to store and analyze the vehicle data so as to make it reachable and connected from anywhere, (iii) an IoT concept is implemented by connecting the users and drivers to the cloud through services and Application Interfaces (API). The mentioned End-to-End (E2E) system allows us to analyze the obtained data and serve it to the end-user applications. Consequently, a solution, which covers all the mentioned concepts and technologies, is designed and developed. The solution includes vehicle data exchange module, location and communication module, and cloud system applications module. It's observed that the developed system provides the drivers and end-users to monitor the vehicle's energy consumption rates and let them conclude efficient driving behavior, to be notified about diagnostic issues in advance, and to monitor the location.
Yazar
Dr. Emin Vilgenoğlu
Bu Yayına Nasıl Atıf Yapılır
Emin Vilgenoğlu (Master Thesis). Gerçek zamanlı araç takibi ve arıza tespit sistemi, 2019, Dokuz Eylül University.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
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