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Black box application by cloud computing for land vehicles

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2019
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Abstract (EN)

In this study, it was aimed to apply black box especially for the land vehicles. Day by day, more vehicles come to traffic. Therefore, more vehicles cause more accidents. It is difficult to obtain safe information about the incident after accidents. With this study, very detailed information about the accident can be obtained; the accident will be analyzed in more detail. In addition to the video recordings made with the internal and external cameras before the accident, and the selected parameters of the vehicle and the driver can be recorded in the Cloud. Accident location and vehicle information are notified to all institutions required for first aid in case of an accident and therefore first aid is provided as quickly as possible. At the same time, depending on the radius they determine, the vehicles are also offered the opportunity to see and communicate with each other. If there is a problem in the direction to go, the most suitable alternative routes outside that route are visually listed to the driver with GA-based software. The driver can select the appropriate route from the list and continue on the road without being at the scene of the accident. As a result; accident information will be stored in the Cloud. Vehicles registered in the system will be able to communicate with each other. New road alternatives will be given according to the road condition. The vehicles fitted with this system will be able to serve as mobile MOBESE. Data reliability of the reports prepared by insurance companies and the police department will increase. The Directorate of Highways will be able to share road condition information with all vehicles throughout the country. Traffic congestion will be reduced with new road suggestions. Life and property losses will be reduced, timely, effective intervention will be possible.

Author

Ömer Munğan

How to Cite

Ömer Munğan (Master Thesis). Black box application by cloud computing for land vehicles, 2019, İskenderun Technical University.

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