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.
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: 16 Nov 2018 *