A new network model for the analysis of air traffic networks

Péter, Tamás; Szabó, Krisztián

doi:10.3311/pp.tr.2012-1.07

Cited by 16 publications

(6 citation statements)

References 22 publications

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“…The globalization implied several studies about automotive industry, however, due to its big size it is impossible to describe the network as a whole. The term network theory is commonly used and is a research topic in many research papers (Péter and Szabó, 2012;, but even a universal definition of automotive supply chain network seems to be difficult.…”

Section: Literaturementioning

confidence: 99%

Probability-based Vendor Selection Model for the Hungarian Automotive Supply Network

Dömötörfi

Nagy

Harmati

2022

Period. Polytech. Transp. Eng.

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The aim of this paper is to investigate the structure of the Hungarian automotive supply network and provide a possible solution that mathematically describes the connections between the interested parties. In the study an approximate model is introduced to determine the links between hubs (car manufacturers), nodes (Tier1 suppliers) and edges, combining probability random graph and scale free network theory. During the simulation some main drivers were applied for selection purposes, such as location, turnover, product profile. As a result of the study a potential tool has been designed to support decision-making.

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Section: Literaturementioning

confidence: 99%

Probability-based Vendor Selection Model for the Hungarian Automotive Supply Network

Dömötörfi

Nagy

Harmati

2022

Period. Polytech. Transp. Eng.

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“…Based on the scientific results obtained from the creation of an extensive road network model, the authors in [17] proposed a new air traffic model, which was a powerful new tool in the field of air traffic network modelling and had all the specialties.…”

Section: Related Workmentioning

confidence: 99%

Developing Models for Managing Drones in the Transportation System in Smart Cities

Nguyen

2019

Electrical, Control and Communication Engineering

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Unmanned aerial vehicles (UAVs), especially drones, have advantages of having applications in different areas, including agriculture, transportation, such as land use surveys and traffic surveillance, and weather research. Many network protocols are architected for the communication between multiple drones. The present study proposes drone-following models for managing drones in the transportation management system in smart cities. These models are based on the initial idea that drones flight towards a leading drone in the traffic flow. Such models are described by the relative distance and velocity functions. Two types of drone-following models are presented in the study. The first model is a safe distance model (SD model), in which a safe distance between a drone and its ahead is maintained. By applying the stochastic diffusion process, an improved model, called Markov model, is deduced. These drone-following models are simulated in a 2D environment using numerical simulation techniques. With the simulation results, it could be noted that: i) there is no accident and no unrealistic deceleration; ii) the velocity of the followed drone is changed according to the speed of the drone ahead; iii) the followed drones keep a safe distance to drone ahead even the velocities are changed; iv) the performance of the Markov model is better than that of the SD model.

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“…The connection hyper-matrix provides information on any sector in terms of with which other sectors are they connected by what kind of dynamic transfer. The system of differential equations containing the connection hyper-matrix describes the operation of all sectors of the network that means the operation of the entire network [18,20].…”

Section: The Applied New Modelmentioning

confidence: 99%

Combined Mathematical Modeling of Different Transport Networks, Considerations and Complex Analysis

2017

APH

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On the grounds of our traffic network model developments an exact mathematical model can be created based on the union of different types of transport networks. The initial network is the vehicle traffic network that integrates the public transport network as well. During this study the union of road and pedestrian networks is initially created and then we further examine the possibility of generalization of complex networks thereafter.

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A new network model for the analysis of air traffic networks

Cited by 16 publications

References 22 publications

Probability-based Vendor Selection Model for the Hungarian Automotive Supply Network

Probability-based Vendor Selection Model for the Hungarian Automotive Supply Network

Developing Models for Managing Drones in the Transportation System in Smart Cities

Combined Mathematical Modeling of Different Transport Networks, Considerations and Complex Analysis

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