Intelligent Parking Guidance System based on Improved Bee Colony Algorithm

Cars have become an indispensable way for people to travel now. While bringing people a convenient and fast way to travel, they also bring a lot of problems and hidden dangers to the current traffic. Parking is one of the problems that need to be solved urgently. In this paper, on the basis of the traditional parking method, the intelligent parking guidance system developed by the improved bee colony algorithm is used to make full use of the characteristics of the bee colony algorithm to reasonably plan the user's parking path selection, which can solve the problem of user parking to a large extent. In this experiment, an improved bee colony algorithm is proposed, and an intelligent parking induction model based on the improved bee colony algorithm is established. Based on the change of the pheromone of the bee colony over time, it can effectively plan the user's parking path and parking lot vacancies. The experimental results show that the improved bee colony algorithm has great advantages over the traditional algorithm in terms of efficiency and quality, and different factors in the algorithm will have an impact. Within 1–2 time,
$a$
shows a downward trend, while β shows an upward trend., in 2–5 time, on the contrary, it greatly reduces the user's parking time, and also enhances the safety to a certain extent, and realizes the design and development of the intelligent parking guidance system.