Abstract
The possibilities of a multi-agent approach for managing urban parking space are considered, which allows you to adequately represent the parking space and effectively solve the following tasks: monitoring congestion, searching and booking available parking spaces; building routes and navigation to selected places; parking; payment for parking services; monitoring compliance with parking rules; control and access control in closed parking lots (equipped with entrance and exit terminals and barriers); forecasting the main parameters, such as workload, income, turnover; informing users. The necessity of intellectualization of urban parking space management processes based on the use of methods and technologies of multi- agent systems (MAS), the main objectives of which are to: reduce the search time for parking spaces; increase the speed of traffic in paid parking areas; increase the turnover of parking spaces; reduce traffic congestion, fuel costs; reduce the number of parking violations on the road network; reducing the flow of personal vehicles entering the toll zone and stimulating the use of urban public transport; reducing environmental pollution. The greatest difficulty is the tasks of organizing the interaction of agents of various typologies in the collective solution of tasks, since each agent solving a specific task has only a partial idea of the overall task and must constantly interact with other agents. The features of prototyping MAS with an emphasis on modeling the interaction of certain types of intelligent agents in the problem area under study are presented. The obtained simulation results are the basis for the continuation and further development of research and development to create the final prototype of a MAS for urban parking space management.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.