Abstract
In this paper, the usage of multi-agent systems for the management, control and optimize transportation system performance is shown. Artificial intelligence approaches in the development of intelligent agent-based systems is effective in solving complex problems in the transportation system. The successful transfer of research results to practical systems is crucial for intelligent agents and multi-agent systems. Our work reveals that the transportation system based on the intelligent agent can reduce costs, time and environmental pollution.
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