Sultan Zhankaziev’s research while affiliated with Moscow Automobile and Road Construction State Technical University and other places

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.

Urbanization leads to a significant increase in traffic density in large cities. The growing transport concentration is accompanied by an increase in traffic congestion and emissions of harmful substances. The policies and decisions developed by the authorities, such as the expansion of existing roads and construction of new roads, as well as increase in transport taxes, no longer make it possible to maintain the adequate mobility of the population. One of the solutions is to increase the efficiency of road infrastructure utilization by forecasting the traffic situation and using the adaptive adjustment of traffic lights operation. With dynamic collection and interpretation of traffic flow data from traffic monitoring cameras, it will be possible to use the dynamic parameters of vehicles as indicators for the adaptive adjustment of traffic light regulation. The first part of the paper describes the use of machine vision and a neural network (YOLOv4) in tracking the parameters of traffic flows on road sections in front of intersections. The second part of the paper presents a methodology based on the dynamic regulation of traffic lights cycles and their duration, taking into account the current and forecast parameters of the traffic flow. The algorithm for the adaptive adjustment of traffic lights regulation considers the following parameters: the number and dynamic dimensions of vehicles moving towards the intersection; the number of vehicles in the queue in front of the stop line and their acceleration at the start of the movement. We determined the relationship of the intersection capacity when driving straight ahead with the dynamic dimensions of vehicles and the formation of a queue in front of the stop line, waiting for the green light. The study resulted in the development of an algorithm for setting the duration of both a particular phase and the entire traffic lights cycle in the tasks of eliminating or minimizing the possibility of congestion.

This article describes the basic components and functional capabilities of a testing range that is planned to be created in Russia. With such a testing range, it will be possible to move to a whole new level of development and implementation of technical and technological components in such areas of promising intelligent transportation systems as cooperative interaction and unmanned traffic. The authors highlight that it is important to establish a systemic approach to prototype testing, the formation of a regulatory base and the establishment of a unified authority for the certification of developed technologies. Besides, the article describes the global experience in creating testing ranges to test performance and safety of advanced communication technologies, technologies of cooperative interaction (between vehicles as well as between vehicles and road infrastructure) and technologies of highly automated and unmanned vehicles as well as their role in the development of promising intelligent transportation systems.

The article addresses the concept of human-machine interface operation and problems solved during interface design. We provide a general description of problems related to the drivers’ readiness to enhance the automation level of vehicles. A basic algorithm of human-machine interface operation for an automated vehicle is described.

“The fundamental principle of systems thinking is the ability to look at events, objects and phenomena from various perspectives considered as an aggregate” (O’Connor and McDermott 2006). The article continues studying the issue of preventing the occurrence of causes of death on Russian roads, i.e. “zero” mortality. The study results are presented in a series of articles published in the “Transport of the Russian Federation” journal. It provides a rationale for the feasibility and relevance of applying a methodological approach, which is new for Russian science and practice, to solving the issue of ensuring road traffic safety (RTS) in the interpretation of its meaning, comparable with the meaning of the term “zero mortality”, namely, a multi-faceted approach that considers a multilateral assessment of the quality of management decisions adopted using the knowledge of a full set of different opinions on the objects of any complexity being studied. They include RTS assurance systems, for which a set of different opinions (aspects) regarding all their possible facets, sides, properties, features, etc. — on behalf of the state, authorities, operating structures, and society — can be transformed into a set of factors affecting the level of provided RTS, having a subset of “dangerous” factors that can become causes of death in road traffic accidents (RTAs) in the road traffic environment. The article contains: a digest of the above subset of factors, which are essential for the issue being studied and can serve as the basis for expanding the possibilities of forming a set of death causes, adjusting the functions and corresponding types of required activities functionally bound by a common goal; substantiation of a functional and structural mathematical model for the state RTS system, an algorithmic model for the mechanisms forming its main functional properties and subsets of non-accidental causes of death, which can be understood and addressed preventing the moment of a possible serious RTA, and accidental ones, which cannot be understood and addressed; a “starting” sample of literary sources, capable of expanding (when referring to the publications) and ensuring an increase in the progress of solving the issue of “zero mortality” on Russian roads by 2030 as established by the state strategy for RTS.

Nowadays, deaths and injuries of people in road accidents represent an important issue of global healthcare. In the Russian Federation, main causes of death and disability among people of various age include road accident injuries. Such injuries are also high on the list of factors which affected the significant number of severe accidents and their consequences. The vast majority (95.7%) of those accidents occurred in cities and villages. Nearly two-thirds (61.2%) of the total number of minors (pedestrians) who became victims of road accidents were constituted by students of secondary schools at the age of 7–14. Road accident injuries in children can be prevented with the help of active forms of teaching to behave safely on roads of inhabited localities.

The article addresses the role of the feasibility study in the life cycle of an ITS (intelligent transportation systems) project. The feasibility study of an ITS project is an integral part of project validation, which is conducted according to methods described in this article. Despite the importance of the feasibility study, works dedicated to the formalization of the requirements to such study are just beginning to appear in the technical and legal regulatory framework. The methods considered in this article form the basis for a preliminary national standard.