CHARACTERISTIC FEATURES OF AUTOMATED PARKING SYSTEMS IMPLEMENTATION IN LARGE CITIES

Abstract

Paper considers main problems, dealing with the motor vehicles parking in large cities and organization of the correct urban planning, the analysis of the available automatic parking is carried out, disadvantages of their implementation are characterized. Most efficient systems of automation which need large budget investments for their realization, are determined.

Various approaches, aimed at achieving the compromise between high cost for the parking space at automatic parking and level of comfort and time saving they provide, are considered. Possible variants of loyalty programs application for increasing the demand for automatic parking usage are presented. Approaches for studying the demand and optimization of losses while designing the automatic parking, using module structures in the process of construction are noted. 

Variants of creation and usage of common parking, with the possibility of parking spaces transfer between the users are described. Architecture of the automatic parking system, based on creation of the services for the collection, storage and processing of the information in the cloud environment is suggested in the paper. The system provides the application of the data lakes for storing of large volumes of the raw information from the smart sensors indicating available free parking spaces and videocams for monitoring the transport vehicles at the parking. Data processing is performed by the specialized cloud services, which have the possibility of scalability, depending on the number of system users. Processed data are used for the forecasting of parking load, situational awareness of the drivers by means of mobile application as well as for the assistance in planning the route to free parking space with the help of drone assistants. Architecture of the system of automatic parking enables to construct modern infrastructure of parking in large cities, improve general comfort of private transport vehicles usage. Accumulated data, stored in cloud storages, can be used for further modeling and analysis of the demand for automatic parking.