Abstract
The article shows that with the growing traffic on motorways, the demand for modern traffic management systems for effective traffic flow management is generated. Based on the analysis of the METANET model and algorithms for managing the entrance to the highway, an algorithm is proposed that uses the capabilities of an intelligent transport and logistics system to implement proactive traffic management. The possibility of using self-driving cars to supplement the information about traffic characteristics obtained from stationary sensors of the transport infrastructure of the intelligent transport and logistics system is analyzed.
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