MODEL OF INTELLECTUAL PEDESTRIAN FLOW MANAGEMENT SYSTEM

Abstract

This scientific article proposes a model of pedestrian and car flow control system that can characterize the operation of two different control modes, the first of which is fully automatic, and the second works in automated mode, the results of which depend on information about the current situation on the road. the number of pedestrians and cars or depends on the intensity of traffic. In order to demonstrate the work of the proposed model, we will take some sections of the direct road where there is an adjustable pedestrian crossing. The system can determine the number of pedestrians in two ways: through surveillance cameras and with available statistics, such as information about the intensity at specific times. The second method, namely the application of pre-known parameters such as the intensity of pedestrian and traffic flows is used when it is impossible to determine the current situation on the road due to some reasons such as accident, bad weather and so on. The modes will be switched using the functionwhich will determine the mode of regulation of traffic lights according to the time intervals at which the intensity of the flows will also change. The automatic control system will work during rush hour, when the city's transport network operates. the greatest load. The second mode is for certain periods of time when the intensity of pedestrian flow is low, for example at night. The relationship between these intensity and time will be established statistically. The mode of automatic or "hard" regulation determines the duration of the pedestrian and car phases of traffic lights depending on the number of pedestrians and cars. If it is impossible to determine the number of road users using video cameras, then we calculate due to the intensity of traffic flows, and the automated control mode, ie "call" calculates the duration of the delay between two calls and the duration of the pedestrian phase. crowds and traffic near regulated pedestrian crossings.