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• MULTI-AGENT INTELLIGENT SYSTEM FOR CONTROL OF PARKING SPACES IN CITY INFRASTRUCTURE

  I. А. Pshenokova, К.C. Bzhikhatlov, М.А. Kanokova

  2025-04-27

  Abstract ▼

  With the growing number of cars and limited space, many cities are realizing the importance of implementing
  intelligent parking systems to improve urban mobility and convenience for drivers. The level of
  implementation of intelligent parking based on various technological solutions is growing, but to achieve
  maximum efficiency, it is necessary to continue to develop technologies, integrate them with other systems
  and take into account the needs of users. The purpose of the study is to develop a multi-agent intelligent
  system for monitoring and managing parking space reservations in the city parking network. The architecture
  of a multi-agent intelligent parking management system has been developed, which provides automatic
  access control to parking spaces taking into account the wishes of parking lot owners, driver orders, the traffic
  situation in the city and safety requirements. The main element of the developed system is parking, which
  is represented by a set of parking spaces equipped with automated parking space management systems (parking
  attendants), a communication system and data collection tools (surveillance camera and weather stations).
  Parking spaces and parking attendants are managed by an intelligent control system based on multiagent
  neurocognitive architectures. A prototype of a hardware and software complex of a multi-agent intelligent
  parking space management system has been developed in the form of a client-server architecture.
  The server is responsible for collecting, processing, storing data and managing automated parking attendants.
  Two types of clients are connected to the server - a mobile application of the administrator and the
  driver. The administrator has the ability to manage parking (set fixed prices or use server recommendations,
  book parking spaces for employees) and view statistics (current load, parking statistics, data on accepted
  payments, parking work forecast, recommendations). The driver has the ability to view the status of parking
  in the area of interest (number of free spaces, waiting time for a free space, cost, recommendations for the
  most convenient parking) and book a parking space with the ability to pay online