Title: Comparison between optimised genetic-based Honda algorithm and Honda algorithm for collision avoidance system

Authors: K.G. Manjunath; N. Jaisankar

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

Abstract: As the driver's mental state is among the primary factors responsible for collision, most of the sectors now install an automated approach to prevent the collision. The automatic approaches halt the vehicle unit on sensing the state of collision. Anti-collision system is an automatic approach that monitors the various factors of a vehicle unit on a gradual basis. The system is powered with Honda algorithm that computes the minimum safe distance from these factors. As the efficiency of algorithm is subjected to accuracy of sensor readings, the environmental tragedies and precision of sensors can deliver false readings that affects the performance of algorithm. In this paper genetic algorithm is implemented to optimise these values. The optimised modification of readings discards the probability of false reading obtained due to environmental noise. The evaluation parameters indicate that GA performs with almost same accuracy for optimisation.

Keywords: crossover; selection; warning range; collision avoidance; vehicle velocity.

DOI: 10.1504/IJBIDM.2019.096843

International Journal of Business Intelligence and Data Mining, 2019 Vol.14 No.1/2, pp.13 - 24

Received: 24 Nov 2016
Accepted: 30 Mar 2017

Published online: 16 Nov 2018 *

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