Comparison between optimised genetic-based Honda algorithm and Honda algorithm for collision avoidance system Online publication date: Tue, 11-Dec-2018
by K.G. Manjunath; N. Jaisankar
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 14, No. 1/2, 2019
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Data Mining (IJBIDM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook