Abstract
The article describes the method for estimating transport flow parameters using the two-fluid Herman-Prigogine mathematical model developed considering the proposed method of estimating parameters for the system based on the passive processing of navigation data on the movement of vehicles. The efficiency of the suggested algorithms and mathematical models for estimating road traffic flow parameters and the system as a whole was confirmed performing tests using a set of tracks on the main highways of Belarus.
Highlights
At present, traffic congestion on road networks is a burning transport-related issue in most developed countries worldwide
The parameters used in the Herman-Prigogine model consisting of two flows represent the average data determined on the scale of the complete street and road network for a given period
The passive approach to data collection allows increasing the accuracy of the system since more data are examined than gathered from different vehicles controlled by different drivers
Summary
Traffic congestion on road networks is a burning transport-related issue in most developed countries worldwide. Measures aimed at increasing the efficiency of using the capacity of the existing road network (improving traffic management);. Predicting the effect of various measures aimed at managing road network capacity requires solving various problems of transport simulation:. Predicting the effect of constructed or reconstructed road facilities requires simulating the distribution of traffic flows over the road network;. Assessing the effectiveness of measures for improving traffic management, as a rule, requires simulating the movement of individual vehicles in traffic flow;. Assessing the effectiveness of measures for regulating transport demand requires simulating the volume and structure of the need of the population and economy for driving. Chosen criteria and methods for assessing traffic flows are required to use appropriate mathematical models for providing decisionmaking on the management of transport flows.
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