Development of Recommendations to Improve the Efficiency of the Urban Transport System

The escalation of road traffic is one of today’s challenges. Various metropolises are influenced by traffic flow congestion and the growth of emissions from petrol usage. In big agglomerations, the expanding quantity of cars private, commercial, and public transport, has caused traffic problems. Drivers and their passengers waste their time in continuous traffic jams. They have a harmful effect on economy, ecosystem, and on the quality of life. It is vital to obtain smart solutions for road traffic management. The interest for smart traffic techniques emerged at the opening of the 20th century. In this paper, author proposes a new way to solve this problem by using smart traffic regulation, which is a part of smart logistics concept. The paper is centered on the system of road objects on one particular intersection in St. Petersburg: the use of a road infrastructure is operated by a traffic light sensor, so it is an issue of understanding how to get the best utilization of the mechanisms of this system (traffic lights) so as to make commuter traffic more fluid. The values of the controls calculated by the method are defined by an algorithm. Agent-based traffic simulation has been chosen to perform this research. This type of modeling is related to the object-oriented way of coding. In object-oriented environment, for instance Java, statistics and software design tools or procedures are concentrated in agents that can manage their own statistics and cooperate with other agents. Hence, it can be stated that such form of modeling is appropriate for representing cars and other objects of traffic management system as agents in a program. For modeling and experimental simulation of the intersection in St. Petersburg, was used AnyLogic modeling tool. The results show that proposed algorithm allowed to reduce the average waiting time by 37%. Moreover, the average waiting car number at the intersection has been dropped by 2.5 times after applying the new solution. Thus, projected way of reducing road overload on the selected intersection in St. Petersburg displayed excellent outcomes. However, implementation of the algorithm on other infrastructure objects requires further investigation and economic analysis