Evaluation and development of a self-ruling internal control system for preventing car accidents using artificial neural network
| Autor: | Amit Sutradhar, Md. Abdur Rafiq, Md. Samiul Haque Sunny, Eklas Hossain, Manash Kumar Mandal |
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| Rok vydání: | 2017 |
| Předmět: |
Road accident
Artificial neural network biology Computer science 05 social sciences Control (management) Context (language use) Internal control 030226 pharmacology & pharmacy 03 medical and health sciences Accident (fallacy) 0302 clinical medicine Risk analysis (engineering) Arduino Toll biology.protein 0501 psychology and cognitive sciences 050107 human factors |
| Zdroj: | 2017 4th International Conference on Advances in Electrical Engineering (ICAEE). |
| DOI: | 10.1109/icaee.2017.8255370 |
| Popis: | In recent years, road accident has turned into a tremendous daily life affair in the perspective of Bangladesh. Of all the accidents, car accident is the most significant contributor in this context. Every year a heavy toll of human lives is getting subjected to unnatural death due to this unexpected phenomenon. Most of the car accidents occur due to the sudden failure of braking system, any machinery breakdown or driver's loss of control over the car during an unavoidable critical situation. In concern with the fact stated above, this paper focuses on the prevention of car accident through implementation of artificial neural network (ANN). A prototype is built with Arduino and the simulation is executed in MATLAB. Effective implementation of this research can reduce the risk of accident as well as this technology is very much effective to pave the way of communication through the highways. Moreover, this technology can also be a helpful tool to organize further researches in this field for the sake of humanity. |
| Databáze: | OpenAIRE |
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