Development of perturbations on a sandy channel bed

Петров, А. Г.; Потапов, И.И.

doi:10.1134/s1028335810030109

Cited by 1 publication

(2 citation statements)

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“…During the 1970s and 1980s, the criteria for information in control system synthesis gained significant popularity within the realm of applied automatic control and measurement systems. It is worth acknowledging the contributions of researchers affiliated with Academician Petrov's academic lineage in this context [59][60][61][62]. An informational approach to optimality criteria for control system synthesis was suggested by Bukanov [63].…”

Section: Goal Of Research Obtained Resultsmentioning

confidence: 99%

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Ideology of Urban Road Transport Chaos and Accident Risk Management for Sustainable Transport Systems

Morozov,

Petrov,

Shepelev

et al. 2024

Sustainability

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Transport systems are complex systems present in modern cities. The sustainability of all other urban systems depends on the sustainable functioning of urban transport. Various processes occur within transport systems. Road traffic is one of them. At the same time, road traffic is a rather complex process to manage, which is explained by the influence of many different internal and external environmental factors. The unpredictable and chaotic behavior of each vehicle in a traffic flow complicates predicting the transport situation and traffic management. This problem gave rise to several unsolved problems, including traffic congestion and road accident rates. The solution to these problems is connected with sustainably managing transport systems in terms of road traffic. However, numerous regularities between elements within the system should be understood in order to implement the management process. Unfortunately, the results of many previous studies often reflect only partial regularities and have limited functionality. Therefore, a new approach to urban traffic management is needed. As opposed to the existing solutions, the authors of this paper propose to implement management based on the regularities of changes in the chaos of the transport system. In this regard, the purpose of this research is to establish the relationship between road traffic chaos and road accident rates. The general methodological basis of this research is the system approach and its methods: analysis and synthesis. The theoretical studies were mostly based on the theories of chaos, dynamic systems, and traffic flows. The experimental studies were based on the theories of experimental design, probability, and mathematical statistics. To achieve this goal, a profound analysis covered studies on the sustainability of transport and dynamic systems, sociodynamics, and traffic. The authors proposed considering the relative entropy of lane occupancy at signal-controlled intersections as a measure for assessing traffic flow chaos and sustainability. Notably, as the main conclusions, the authors established regularities for the influence of entropy on the kinetic energy of traffic flows and injury risk. It also makes sense to emphasize that the initial data for the experiment were collected via real-time processing of video images using neural network technologies. These technologies will further allow for the implementation of traffic management and real-time forecasting of various events. Ultimately, the authors identified changes in injury risk depending on the level of road chaos. According to the authors, the obtained results can be used to improve the sustainability of urban transport systems. The research identified changes in injury risk depending on the level of road chaos, which could have significant implications for urban traffic management strategies.

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Section: Goal Of Research Obtained Resultsmentioning

confidence: 99%

“…One of the main ideas of the works [58][59][60][61][62][63] is the need to consider information in close connection with the concept of entropy. This concept has a variety of meanings [64][65][66].…”

Section: Goal Of Research Obtained Resultsmentioning

confidence: 99%