Online ISSN: 2515-8260

Keywords : Genetic Ant Colony Algorithm

An approach for smart cities parking based on cloud computing and Machine Learning by Genetic Ant Colony Algorithm


European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 434-441

This research deals with the major problem that we face in major part of India and across most of the world. The research deals with the main problem of traffic congestion and road accidents that is basically caused because of the improper parking management. So, it is mandatory for all the cities to have a well managed parking system. However, in the past many researches has been conducted to propose an solution that leads to suitable smart paring algorithm. On reading more about the researchers conducted in the past, it was clear that each research has its own pros and cons. This paper reflects on the research conducted to design an algorithm that leads to a cloud based smart algorithm that is secure and is convenient enough to develop a system that can be used to manage the available slots and can notify the users about the available parking slot beforehand to the client. The paper also focuses on the result analysis part that clearly shows that the algorithm designed is more accurate than other algorithms used in the past. We have designed our algorithm using ACO, decision tree, and GPS mapping over cloud. The idea of working on this research was to provide a solution that is cost effective, helps people on large scale and maintains the laws and order.