Forecasting the Amount of Traffic-Related Pollutant Emissions by Neural Networks

Shepelev, Vladimir; Slobodin, Ivan; Gritsenko, Alexandr; Fadina, O.

doi:10.3389/fbuil.2022.945615

Cited by 4 publications

(2 citation statements)

References 31 publications

(29 reference statements)

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“…The mathematical expression of the output and input of the neurons in this model is as follows [11][12][13] .…”

Section: Figure 5 Structure Diagram Of Neural Networkmentioning

confidence: 99%

Research on Energy Management of Pressurized Oxygen-Supplemented Buildings

Zhang,

Wang,

Zhou

et al. 2023

J. Phys.: Conf. Ser.

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The energy system of supercharged and oxygenated buildings is a hybrid energy system. The energy used is solar energy, electric energy, pressure energy, etc. In order to make the hybrid energy system more stable and controllable, and to achieve the purpose of energy saving under the condition of stable power consumption of supercharged and oxygenated buildings, a power consumption prediction and management model of supercharged and oxygenated buildings based on neural network is proposed. According to the power consumption system structure of the pressurized oxygenation building, this model establishes a power consumption prediction model based on neural network, and then verifies by simulation that the model can better meet the power consumption prediction conditions of the pressurized oxygenation building. Finally, according to the experiment, this power consumption prediction model can make the power consumption management of the pressurized oxygenation building more stable and controllable. When meeting the daily and stable power consumption requirements of the pressurized oxygenation building, the model can be used to predict the power consumption of the pressurized oxygenation building. Green energy is also reasonably used to save energy in pressurized and oxygen-supplemented buildings.

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“…The mathematical expression of the output and input of the neurons in this model is as follows [11][12][13] .…”

Section: Figure 5 Structure Diagram Of Neural Networkmentioning

confidence: 99%

Research on Energy Management of Pressurized Oxygen-Supplemented Buildings

Zhang,

Wang,

Zhou

et al. 2023

J. Phys.: Conf. Ser.

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“…Given the difficult natural and climatic conditions of the Arctic region, there is a high risk of transport accidents of various types that can potentially threaten the environment, the population and the entire ecosystem of coastal areas. The authors of [75] propose to create an intelligent decision support system that would allow for detecting traffic accidents, predicting their development and justifying appropriate operational decisions.Additionally, the authors describe the implementation of the elements of such an intelligent system, which allows for predicting the volume of environmental load [76] and optimizing traffic light operation modes [77].…”

Section: Itc and Green Logisticsmentioning

confidence: 99%

The Role of Multimodal Transportation in Ensuring Sustainable Territorial Development: Review of Risks and Prospects

Makarova

Serikkaliyeva

Gubacheva³

et al. 2023

Sustainability

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The Russian Arctic development is an investment direction, which is planned through a system of so-called “support zones” of various development degrees, it is a priority for Russia and can have a positive effect. Since integrated territorial development is associated with significant cargo flows of raw materials, materials and goods, logistics chains will include various transport modes, which will lead to the development of infrastructure (including the construction and reconstruction of seaports, the network of the railways and roads expansion) and the emergence of new international transport corridors (ITCs). A scientifically based solution to the problems of constructing a delivery route, including the location of transshipment points, logistics terminals and the rolling stock selection, will ensure the sustainable territories development through which ITCs pass. However, these tasks, which constitute the activity of organizing multimodal transportation, are associated with various types of risks, the successful solution of which, in this case, depends on the sustainable territorial development of these territories. Therefore, the research objective is to establish the relationship between the development of transport networks and the development of the Arctic region, the designation of possible prospects for the development of both multimodal transportation as a whole as a strategic event, and the contribution of each kind of transport, as well as the risks of creating and using international transport corridors, including cumulative impact on the environment. As a result of the literature analysis, we have considered the causes and consequences of the improper planning of supply chains and infrastructure, then we have indicated the role of new transport corridors in the development of territories. We have built a tree of problems in order to systematize risk situations and identify root causes and consequences. A method for calculating the cargo delivery time is proposed, taking into account the multimodality of logistics chains as well as measures that help reduce risks.

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