Title: Effective optimisation of Honda algorithm for rear end collision avoidance system with genetic algorithm

Authors: K.G. Manjunath; N. Jaisankar

Addresses: SCOPE School, VIT University, Vellore, India ' SCOPE School, VIT University, Vellore, India

Abstract: Honda is one of the most popular algorithm for rear end collision avoidance system, but does not intend to avoid all the accidents, this due to that it gives a smaller range of warning which cannot avoid the accidents at high speed, to overcome this issue we proposing the optimisation of warning range with a genetic algorithm to minimise the probability of collision. The results show that proposed algorithm avoids 7% more accident than the standard Honda algorithm. We presented the MATLAB implementation of proposed work with examples to show the efficiency of our work.

Keywords: mutation; warning range; collision avoidance; vehicle velocity.

DOI: 10.1504/IJBIDM.2019.096845

International Journal of Business Intelligence and Data Mining, 2019 Vol.14 No.1/2, pp.3 - 12

Received: 24 Nov 2016
Accepted: 22 Jan 2017
Published online: 11 Dec 2018 *

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