APPLICATION OF SPATIAL DATA AND MATHEMATICAL MODELS OF TRANSPORT SYSTEMS OR THEIR COMPONENTS FOR AIR CARRIERS

2019 ◽  
Author(s):  
Zuzana Zgodavova
Keyword(s):  
Mathematical Models ◽  
Spatial Data ◽  
Transport Systems ◽  
Air Carriers

scholarly journals Analytical models of decision-making theory in digital transport logistics

2021 ◽  
Vol 2061 (1) ◽  
pp. 012129
Author(s):  
A Terentyev ◽  
M Karelina ◽  
E Karelina
Keyword(s):  
Mathematical Models ◽  
Analytical Models ◽  
Transport Systems ◽  
Large Set ◽  
Mathematical Methods ◽  
Large Databases ◽  
Information And Communication ◽  
High Level ◽  
High Degree ◽  
Made In

Abstract The active introduction of information and communication (digital) technologies into the modern reality of transport systems operation requires the development of modeling methods for the creation of software that allows to do the following: determine the formal efficiency of decisions made in digital transport systems (DTS); process large volumes of DTS data; perform analysis of DTS functioning environment using artificial intelligence algorithms, analytical analogues of neural networks, etc. A digital transport system, being a complex system, is determined by a large set of formalized indicators (database) and requires finding effective solutions for a sufficiently large number of criteria or signs of effectiveness. Obtaining reliable solutions in multi-criteria information situations causes difficulties, which are objective. In most cases modern mathematical models artificially reduce multi-criteria information situations to single-criteria categories. This approach, based on the use of integral criteria, has a fundamental disadvantage - the use of integral criteria to obtain estimates of the efficiency of actions or processes in complex systems is characterized by a high level of subjectivism. In this case, the obtained solution may be acceptable, but not an objective result. Therefore, it is necessary to develop mathematical models for solving multi-criteria problems applicable to the solution of problems in complex transport systems, allowing one to operate in the environment of large databases for operational reconfiguration of a management system in conditions of uncertainty and/or possible counteraction of the external environment. The article presents the results of development of mathematical methods of modeling, which allow us to construct algorithms for solving optimization tasks, formulated as multi-criteria models and in the presence of a high degree of uncertainty in the interaction of the system with the environment.

Development of methodology bases of the network mathematical models transportation and technological flows timber.

2017 ◽  
Vol 6 (2) ◽  
pp. 63-68
Author(s):  
Бурмистрова ◽  
Olga Burmistrova ◽  
Пильник ◽  
Yuliya Pilnik
Keyword(s):  
Mathematical Model ◽  
Quality Management ◽  
Mathematical Models ◽  
Transport Systems ◽  
Object Model ◽  
Optimal Solutions ◽  
Mechanical Modeling ◽  
High Quality ◽  
The Mathematical Model ◽  
Selection Of

The mathematical-mechanical modeling - is the study of complex transport systems (processes) through on-the structure and the research object model. Mathematical models allow a pre-selection of optimal solutions according to specific criteria. These scientifically based and are designed to help leaders in the development, validation and acceptance of efficient, high-quality management decisions in the forest complex. But it must be a pony-mother, that any solution obtained by calculating the mathematical model, optimal only for one or more criteria.

scholarly journals Impactos dos parâmetros em Modelos de Interação Espacial: uma discussão metodológica / Impacts of parameters in Spatial Interaction Models: a methodological discussion

2019 ◽  
Vol 29 (56) ◽  
pp. 179
Author(s):  
Paulo Fernando Braga Carvalho ◽  
Sandro Laudares ◽  
Diego Filipe Cordeiro Alves ◽  
Erick De Oliveira Faria
Keyword(s):  
Mathematical Models ◽  
Spatial Data ◽  
Quantitative Methods ◽  
Potential Model ◽  
Spatial Interaction ◽  
Distance Metrics ◽  
Basic Space ◽  
Interaction Models ◽  
Spatial Interaction Models ◽  
Algebraic Expressions

Interessantes aplicações dos dados espaciais são vistas em estudos de interação espacial que usam modelos matemáticos adaptados de outras ciências ou criados para contextos específicos e, em geral, os principais elementos nas expressões algébricas que representam esses modelos são: as distâncias entre as Unidades Espaciais Básicas (UEB) e a magnitude (massa) de cada UEB. O problema discutido neste trabalho é: ao usar diferentes atributos ou medidores de distância os resultados obtidos com a aplicação de modelos matemáticos de interação espacial podem provocar conclusões distintas? Neste estudo foi aplicado o Modelo Potencial para cálculo e avaliação do potencial de atração dos municípios da Mesorregião do Triângulo Mineiro/Alto Paranaíba. Os resultados deste trabalho mostram que a escolha de variáveis e a forma de medir distância provocam resultados com diferenças significativas dentro de um mesmo modelo matemático que lida com a interação espacial.Palavras–chave: Interação Espacial, Modelos, Métodos QuantitativosAbstract Interesting spatial data applications are seen in spatial interaction studies using mathematical models adapted from other sciences or created for specific contexts, and in general the main elements in the algebraic expressions representing these models are: the distances between the Basic Space Units (BSU) and the magnitude (mass) of each (BSU). The problem discussed in this work is: when using different attributes or distance metrics can the results obtained with the application of mathematical models of spatial interaction lead to different conclusions? In this study the Potential Model was applied to calculate and evaluate the attraction potential of the municipalities of the Triângulo Mineiro / Alto Paranaíba Meso-region. The results of this work shows that the choice of variables and the way of measuring distance causes results with significant differences within a same mathematical model that deals with the spatial interaction.Keywords: Spatial Interaction, Models, Quantitative Methods

scholarly journals Routes Planning Models for Railway Transport Systems in Relation to Passengers’ Demand

2021 ◽  
Vol 13 (16) ◽  
pp. 8686
Author(s):  
Alessandro Severino ◽  
Larysa Martseniuk ◽  
Salvatore Curto ◽  
Larysa Neduzha
Keyword(s):  
Mathematical Models ◽  
Economic Integration ◽  
Transport Systems ◽  
Rolling Stock ◽  
Optimal Planning ◽  
Railway Transport ◽  
Stage Models ◽  
Maximum Profit ◽  
Multi Stage ◽  
Planning Models

Nowadays, transport systems efficiency plays a key role for communities’ liveability and economy, being in addition an important factor in the economic integration of countries. The purpose of the article is to develop multi-stage models of tourist activities for optimizing the development of operating companies. For the implementation of models, the authors evolved the relevant system of organizational-functional support for the development of railway tourism. The research will enable us to take into consideration risks when planning tourist routes by railway, determine the order of construction or start of routes, and assess their profitability. This will provide to earn the expected incomes of all interested parties in tourist activities for the specified period. The authors created economic-mathematical models of the discrete optimal planning of the railway tourism operations. This takes into account conditions of risks and cooperation, and allows to determine which sets of effective routes are the most profitable ones. The results of the realization of the developed models include the task of the succession of the tourist route introduction according to the present and future infrastructure, availability of the rolling stock, etc. In this, consideration is given to obtaining maximum profit from tourism businesses for every participant during an established period.

scholarly journals The Science of Data, Data Science: Perversions and Possibilities in the Anthropocene Through a Spatial Justice Lens

2021 ◽  
pp. 183-199
Author(s):  
Travis Weiland
Keyword(s):  
Mathematical Models ◽  
Spatial Statistics ◽  
Spatial Data ◽  
Data Science ◽  
Spatial Justice ◽  
The World

AbstractIn the Anthropocene statistics, data science, and mathematical models have become a perversion of reality that society has largely chosen to ignore and is embraced as a great savior because people often view numbers as objective purveyors of truth. However, numbers do not interpret themselves, they do not tell their own story; people do that in all their subjective glory. In this chapter, I start by making connections between the Anthropocene and the disciplines of statistics and data science specifically through the context of spatial data. From this discussion I focus on two main points, which I connect to education. The first is that there is a dialectic tension involved in spatial data enquiry between creating new realities using spatial data and using spatial data to make sense of our reality. The second point is that people can choose how to investigate and use spatial data based on their ethics. I believe students should have opportunities to investigate and use spatial statistics through a spatial justice lens both to learn about the world around them and to shape the world around them.

scholarly journals A SPATIAL DATABASE MODEL FOR MOBILITY MANAGEMENT

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1495-1502
Author(s):  
A. Ajmar ◽  
E. Arco ◽  
P. Boccardo
Keyword(s):  
Spatial Data ◽  
Policy Decision ◽  
Data Management System ◽  
Transport Systems ◽  
Urban Mobility ◽  
Efficient System ◽  
Intelligent Transport ◽  
Traffic Regulation ◽  
General Schema ◽  
Isolated Systems

<p><strong>Abstract.</strong> In urban and metropolitan context, Traffic Operations Centres (TOCs) use technologies as Geographic Information Systems (GIS) and Intelligent Transport Systems (ITS) to tackling urban mobility issue. Usually in TOCs, various isolated systems are maintained in parallel (stored in different databases), and data comes from different sources: a challenge in transport management is to transfer disparate data into a unified data management system that preserves access to legacy data, allowing multi-thematic analysis. This need of integration between systems is important for a wise policy decision.</p><p>This study aims to design a comprehensive and general spatial data model that could allow the integration and visualization of traffic components and measures. The activity is focused on the case study of 5T Agency in Turin, a TOC that manages traffic regulation, public transit fleets and information to users, in the metropolitan area of Turin and Piedmont Region.</p><p>The idea is not to replace the existing implemented and efficient system, but to built-up on these systems a GIS that overpass the different software and DBMS platforms and that can demonstrate how a spatial and horizontal vision in tackling urban mobility issues may be useful for policy and strategies decisions. The modelling activity take reference from a review of transport standards and results in database general schema, which can be reused by other TOCs in their activities, helping the integration and coordination between different TOCs. The final output of the research is an ArcGIS geodatabase, which enable the customised representation of private traffic elements and measures.</p>

scholarly journals PROCEDURES OF CITY TRANSPORT SYSTEMS' PLANNING/MIESTŲ SUSISIEKIMO SISTEMŲ PLANAVIMO PROCESO PROCEDŪROS

1995 ◽  
Vol 1 (4) ◽  
pp. 45-66
Author(s):  
P. Juškevičius
Keyword(s):  
Mathematical Models ◽  
Transport System ◽  
Systematic Approach ◽  
Professional Knowledge ◽  
Transport Processes ◽  
Transport Systems ◽  
System Planning ◽  
Systems Planning ◽  
System Functioning ◽  
City Structure

The article starts with looking into a treatment of the objects of city transport systems planning: administrative (determined) and systematic approach, that are of importance for the principles of planning and its quality. The major shortages of the traditional planning are the following: its determination, narrow functional attitude towards the processes of transportation, lack of evaluation of the interrelations between a city structure and its transport system. There are several obstacles to shift to the planning of higher quality, namely poorly arranged information supply, shortage of mathematical models for transport processes and relevant soft ware. Considering the gained experience of transport system planning and professional knowledge on transport systems, a new methodology of planning is presented. A major stress here is put on the complex of transport system functioning, the consequences and the price.

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