Agent-based simulation of road traffic using market approach

One of major problems that the societies and economies of developed countries face are traffic congestion and travel speed limits caused by them. Therefore, there is need to work on more efficient traffic control models than these commonly used. The aim of this paper is to propose such a way of managing the road network in order to adapt the allocation and costs of particular sections of roads to financial resources offered by the drivers of vehicles using them. A model of traffic management in a city based on the market model and application of the agent-based approach is presented. Numerous experiments have been conducted evaluating the approach for different types of road network graphs, route booking algorithms, and various cost functions of drivers.