This study addresses the problem of non-stop passage by vehicles at intersections based on special processing of data from a road camera or video detector. The basic task in this article is formulated as a forecast for the release time of a controlled intersection by non-group vehicles, taking into account their classification and determining their number in the queue. To solve the problem posed, the YOLOv3 neural network and the modified SORT object tracker were used. The work uses a heuristic region-based algorithm in classifying and measuring the parameters of the queue of vehicles. On the basis of fuzzy logic methods, a model for predicting the passage time of a queue of vehicles at controlled intersections was developed and refined. The elaborated technique allows one to reduce the forced number of stops at controlled intersections of connected vehicles by choosing the optimal speed mode. The transmission of information on the predicted delay time at a controlled intersection is locally possible due to the V2X communication of the road controller equipment, and in the horizontally scaled mode due to the interaction of HAV—the Digital Road Model.
The digital technology implementation in the transport infrastructure safety practice promotes reducing accident rates on Russian roads, however, the nationwide tasks of achieving "vision zero" have not been achieved yet. One of the tasks of improving the transport infrastructure safety is the implementation of systems for automatic traffic offence recording as the basis for a digital model in the field of transport infrastructure. For many years, Russia has been improving the state and business interaction mechanisms, developing the conditions for investments attraction in socially significant and large-scale projects, and as a result, the transport infrastructure development relates to the spread of the practice of applying the public private partnership mechanism. The paper covers the issues regarding the traffic safety using a digital model based on systems for automatic traffic offence recording and the public private partnership based mechanism is proposed as an economic tool for transport infrastructure digitization to provide for interaction between the entities of automatic traffic offence recording systems implementation and operation. In our opinion, the interaction of entities involved in the traffic safety process using the automatic traffic offence recording systems based on the public private partnership mechanism opens the potential for development of digital technologies in this subject domain and promotes the innovative development of transport infrastructure under conditions of the digital economy formation.
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