Research on intelligent terminal oriented optimal parking space recommendation model

Abstract

In order to deal with the issue of parking space choice in the parking lot, the authors designed an intelligent terminal oriented optimal parking space recommendation model. Based on deeply analyzing users' requirements, the model selects walking distance, driving distance, parking security, type of available parking space, status of available parking spaces and status of the lane as evaluation index. These evaluation indexes are regarded as several properties of each free parking space and used to calculate the optimal parking space. Considering the instantaneity of real-time road traffic status in the parking lot, the whole resources in the parking lot is integrated to dynamically recommend the optimal parking space. In order to describe the implementation model of parking spaces information recommendation and solve the problem of information exchange between systems and users, an optimal parking space recommendation system framework oriented intelligent terminals is designed. Instance validation and analysis shows that the model can dynamically recommend the optimal parking spaces, save the users' parking time and improve the utilization of parking facilities.