Fuzzy Algorithm for Situational Control of Urban Transport Traffic

Abstract

Due to the constant growth of cities in terms of population and territory, the volume of passenger traffic is sharply increasing. A lot of attention is paid to the study of transport infrastructure in scientific works, but the current problems of the functioning of various types of transport in large cities remain not fully covered. First of all this concerns the great uncertainty in the current information about the movement of transport and their work in the event of emergency situations. The article proposes to use the mathematical apparatus of the theory of queuing systems for the analysis of passenger traffic on urban transport. As an example, a graph of states for fixed-route taxis is constructed and ratios are obtained for evaluating the main indicators of the quality of their work. In the conditions of frequent changes in road situations and uncertainty of the conditions for obtaining information about the current situation, it is proposed to carry out traffic management using intelligent decisionmaking support tools. In this regard, it is advisable to use an approach based on fuzzy situational management. For this purpose, the article proposes an algorithm for fuzzy situational management, which is the basis of intelligent IDSS. . For an optimal transition from the current situation to a situation that meets the new operating conditions, in the sense of the selected criterion, it is proposed to use the dynamic programming method. Ref. 12, pic. 4.

Keywords

• urban transport
• operational dispatch control
• minibus taxi
• state graph
• emergency situations
• information uncertainty