Proactive Control of Transport Flows of the Ramps-Mainline System in Intelligent Transportation and Logistics Systems

With increasing traffic on motorways of international transport corridors, the demand for modern traffic control systems is generated. Based on the METANET model analysis and on-ramp control algorithms used in the United States, Canada, Australia, the Netherlands and several Asian countries: Fixed-time ALINEA, BOTTLENECK, ZONE, Demand Capacity (DC), VSL, HERO / RWS, PRMA, METALINE, SZM, SWARM, RPROP, DynaTAM etc., an algorithm is designed. This algorithm exploits the potential of Intelligent transportation and logistics system (ITLS) to implement proactive traffic control on the basis of its monitoring, forecasting intensity and direction, which allows one to anticipate the overloaded sections of the highway and ramps, develop control actions for the entrance traffic lights of ramps, traffic lights and placards that form the flows coming to the ramps, as well as recommended speeds and flow breaks in the entrance lane of the Expressway. The possibility of using self-driving cars to supplement information about traffic characteristics obtained from stationary sensors of the ITLS transport infrastructure is analyzed.