Abstract

Purpose of reseach. The purpose of this article is to develop a scientific and methodological approach to assessing the timeliness of decision-making in the operational management of car traffic routing in an urban agglomeration. Timeliness is manifested in reducing the time to prepare a decision to change the route of a car delivering goods in conditions of a possible (predicted) increase in traffic congestion at intersections and streets crossing the established route in an urban agglomeration. Methods. The presented approach is based on the basic principles of management theory in organizational systems, the theory of rational consumer behavior, mathematical statistics, and simulation modeling.Results. A variant of the generalized scheme of the operational control cycle for the routing of a car in an urban agglomeration has been developed. A sequence of estimation of decision-making time for operational control of vehicle traffic routing is proposed, and the individual stages of the evaluation sequence implement the main functions of the developed version of the operational control cycle. Experimental dependences of the time of analysis of route parameters during operational management on the quantity and quality of the routes under consideration in the AnyLogic 8.4.0 simulation environment are obtained.Conclusion. The article considers an approach to assessing the timeliness of decision-making in the operational management of the route of a car delivering goods in an urban agglomeration. To minimize the time for making an operational decision, it is proposed to predict the intensity of traffic congestion and assess the quality of the route. The approach allows, based on forecasting the state of the road situation at the intersection points of the route and streets with a high probability of traffic congestion, as well as, taking into account the number and quality of routes, to increase the timeliness of making a decision to change the route of a car delivering goods to an urban agglomeration.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call