Traffic simulation: an analytical review
Sergey Dorokhin, A. Artemov, D. Likhachev, A. Novikov, Evgeniy Starkov
Abstract
Abstract The constant increase in the number of cars in cities causes transportation problems that make it necessary to optimize the road network so as to satisfy the transport needs of the city. In this regard, modeling and optimal planning of the road network are of great importance. Motion modeling is a widely used method of traffic studies, modeling, planning and development of transport networks and systems. It represents the construction of a working model that reflects the similarity of properties or relations with the real problem under consideration. Modeling allows makes possible to study the complex tasks of traffic not in real conditions, but in the laboratory. In a more general sense, modeling can be defined as a dynamic display of some part of the real world by building a computer model and moving it in time. Simulation models of traffic aimed at modeling real transport operations can be divided into three categories: microscopic, macroscopic and mesoscopic modeling. These methods of modeling traffic flows are designed to solve the most common transport problems. In most cases, models allow determining such parameters as traffic intensity, average speed, delays and time loss. This study is an analysis of existing traffic flow simulations in terms of their functions, limitations, and application by various criteria.