Efficient operations at intersections are associated with smooth, safe, and sustainable travel at the network level. It is often challenging to prevent congestion at these locations, especially during rush hours, owing to high traffic demand and…
Efficient operations at intersections are associated with smooth, safe, and sustainable travel at the network level. It is often challenging to prevent congestion at these locations, especially during rush hours, owing to high traffic demand and…
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time.…
The paper shows the prospects for the development of digital technologies of Big Data, which are proposed to be used as a means of qualitative assessment of education, as well as its effectiveness. The use of intelligent systems that work at the…
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time.…
Efficient operations at intersections are associated with smooth, safe, and sustainable travel at the network level. It is often challenging to prevent congestion at these locations, especially during rush hours, owing to high traffic demand and…
The paper shows the prospects for the development of digital technologies of Big Data, which are proposed to be used as a means of qualitative assessment of education, as well as its effectiveness. The use of intelligent systems that work at the…
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time.…
The paper shows the prospects for the development of digital technologies of Big Data, which are proposed to be used as a means of qualitative assessment of education, as well as its effectiveness. The use of intelligent systems that work at the…
Efficient operations at intersections are associated with smooth, safe, and sustainable travel at the network level. It is often challenging to prevent congestion at these locations, especially during rush hours, owing to high traffic demand and…
Intelligent transportation systems (ITS) typically rely on massive sources of data to monitor the transportation system, estimate its current state, forecast its future state, and react with a set of control and management strategies in real time.…
The paper shows the prospects for the development of digital technologies of Big Data, which are proposed to be used as a means of qualitative assessment of education, as well as its effectiveness. The use of intelligent systems that work at the…
Efficient operations at intersections are associated with smooth, safe, and sustainable travel at the network level. It is often challenging to prevent congestion at these locations, especially during rush hours, owing to high traffic demand and…
The reliability of a natural gas system involves the capacity of the supply, transportation, storage and distribution system to provide service without short-term interruptions in the event of contingencies. Typically, increasing the gas supply…
Existing technological trends in using of various types of gas motor fuel (GMF) on transport require more thorough control of the technical condition of motor vehicles running on GMF (compressed natural gas and compressed hydrogen) and infrastructure…
This study presents a methodology based on the dual-mode gamma densitometry technique in combination with artificial neural networks to simultaneously determine type and quantity of four different fluids (Gasoline, Glycerol, Kerosene and Fuel Oil) to…
• It proposes a stochastic model of two-stage that integrates electric power systems. • Presents a mixed integer linear programming model and a reduction algorithm. • Effects that have been not properly considered in the literature are studied. • An…
Multidimensional risk assessment for natural gas pipelines has proved to be an efficient approach for companies to evaluate multiple risk perspectives and to determine different mitigation actions. Therefore, making decisions to ensure the system's…
Based on the Yangtze River macroeconomic regulation and control of hazardous cargo transportation market background, the article analyzes the economic and trade situation and policy environment of the crude oil transportation market in view of the…
CO2-based enhanced gas recovery (EGR) is an appealing method with the dual benefit of improving recovery from mature gas reservoirs and storing CO2 in the subsurface, thereby reducing net emissions. However, CO2 injection for EGR has the drawback of…
Estimating the oil recovery potential using CO2 (CO2-EOR) at a national level is resource-intensive at a scale that is not usually available. The aim of this study is two-fold: first, the potential for CO2 storage and enhanced oil recovery (EOR) in…
The process of operating volatile oil wells using the sucker rod pumping method is considered. An algorithm is developed to determine the main characteristics of the development of deposits in the oil wellreservoir system and the parameters of sucker…
Petroleum exploration and production is an industry that provides researchers with multi-variant challenging "real world" properties. Recently, some petroleum soft computing techniques have gained a greater interest in prediction within the oil…
Synthesis of Compound Esters based on Acid Chloride of Low-Molecular Petroleum Acids of Baku Marine Oil Fields and Chiral Unsaturated Alcohols. The physicochemical properties of the compound naphthenic acid esters are determined, and the…
Existing technological trends in using of various types of gas motor fuel (GMF) on transport require more thorough control of the technical condition of motor vehicles running on GMF (compressed natural gas and compressed hydrogen) and infrastructure…
Hydrocarbons are trapped at great depths with pressure and temperature higher than surface conditions which would vary depending on reservoir properties. When the well is set on production, these hydrocarbons travel through the wellbore over reducing…
Leakage of any kind of gas has been a concern in recent years, whether it is in a residential setting, a business, a cafe, or a canteen. In this paper development of an IoT based gas wastage monitoring, leakage detecting and alerting system is…
Risk analysis and assessment are extremely important in the oil sector to prevent potential risks. The objective of this work is to propose a thorough risk analysis approach with the integration of the human factor, since he is considered as a weak…
The aim of this paper is to develop a method of intellectualizing information and measuring systems, designed to control the complex of parameters of sophisticated multiphase flows under uncertainty and its implementation by the example of creating…
• It proposes a stochastic model of two-stage that integrates electric power systems. • Presents a mixed integer linear programming model and a reduction algorithm. • Effects that have been not properly considered in the literature are studied. • An…