Abstract
We proposed an algorithm to automatically control the seat, and notify dangerous traffic conditions for smart car system. The system is needed to adapt to both the driver and the circumstance for maximum convenience and safety. In order to solve these problems, we proposed an algorithm for developing smart vehicles.
In this paper, it is simulated to compare the performance of a normal car with that of the algorithm-implemented vehicle in a potential accident. Through the computer simulation, we proved that the algorithm-implemented vehicle automatically adjusted the mirrors and seat for the maximum comfort and driver’s awareness of the circumstance. We used fuzzy neural network algorithm for design of optimal car speed, and proposed the system to prevent intelligently against traffic accidents.
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Hong, YS. et al. (2011). Implementation of Smart Car Using Fuzzy Rules. In: Lee, G., Howard, D., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2011. Communications in Computer and Information Science, vol 206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24106-2_77
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DOI: https://doi.org/10.1007/978-3-642-24106-2_77
Publisher Name: Springer, Berlin, Heidelberg
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