Data-driven resilience quantification of the US Air transportation network

2018 ◽  
Author(s):  
Keshav Ram Chandramouleeswaran ◽  
Huy T. Tran
Keyword(s):  
Transportation Network ◽  
Air Transportation ◽  
Data Driven ◽  
The Us

MODELING THE EVOLUTION OF COMPLEX NETWORKS THROUGH THE PATH-STAR TRANSFORMATION AND OPTIMAL MULTIVARIATE METHODS

2010 ◽  
Vol 20 (03) ◽  
pp. 795-804 ◽  
Author(s):  
L. DA F. COSTA ◽  
F. A. RODRIGUES ◽  
P. R. VILLAS BOAS
Keyword(s):  
Complex Networks ◽  
Transportation Network ◽  
Major Change ◽  
Air Transportation ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Maximum Likelihood Classification ◽  
Scale Free ◽  
The Us ◽  
Transportation Routes

The topology of real-world complex networks, such as in transportation and communication, is always changing with time. Such changes can arise not only as a natural consequence of their growth, but also due to major modifications in their intrinsic organization. For instance, the network of transportation routes between cities and towns (hence locations) of a given country undergo a major change with the progressive implementation of commercial air transportation. While the locations could be originally interconnected through highways (paths, giving rise to geographical networks), transportation between those sites progressively shifted or was complemented by air transportation, with scale free characteristics. In the present work we introduce the path-star transformation (in its uniform and preferential versions) as a means to model such network transformations where paths give rise to stars of connectivity. It is also shown, through optimal multivariate statistical methods (i.e. canonical projections and maximum likelihood classification) that while the US highways network adheres closely to a geographical network model, its path-star transformation yields a network whose topological properties closely resembles those of the respective airport transportation network.

scholarly journals A Data-Driven Air Transportation Delay Propagation Model Using Epidemic Process Models

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
B. Baspinar ◽  
E. Koyuncu
Keyword(s):  
Epidemic Model ◽  
Transportation Network ◽  
Air Transportation ◽  
Propagation Model ◽  
Process Models ◽  
Data Driven ◽  
Delay Propagation ◽  
Sis Epidemic Model ◽  
Definition Of ◽  
The Individual

In air transport network management, in addition to defining the performance behavior of the system’s components, identification of their interaction dynamics is a delicate issue in both strategic and tactical decision-making process so as to decide which elements of the system are “controlled” and how. This paper introduces a novel delay propagation model utilizing epidemic spreading process, which enables the definition of novel performance indicators and interaction rates of the elements of the air transportation network. In order to understand the behavior of the delay propagation over the network at different levels, we have constructed two different data-driven epidemic models approximating the dynamics of the system: (a) flight-based epidemic model and (b) airport-based epidemic model. The flight-based epidemic model utilizing SIS epidemic model focuses on the individual flights where each flight can be in susceptible or infected states. The airport-centric epidemic model, in addition to the flight-to-flight interactions, allows us to define the collective behavior of the airports, which are modeled as metapopulations. In network model construction, we have utilized historical flight-track data of Europe and performed analysis for certain days involving certain disturbances. Through this effort, we have validated the proposed delay propagation models under disruptive events.

Possibility of Using in Russia the Experience of LED Lighting Application at the USA Airfields

2019 ◽  
pp. 71-77
Author(s):  
Vladimir V. Vorozhikhin ◽  
Eugenia L. Moreva ◽  
Vladimir G. Starovoytov ◽  
Igor G. Tyutyunnik
Keyword(s):  
Air Transportation ◽  
Improve Quality ◽  
Led Lighting ◽  
The Us ◽  
The Usa ◽  
Quality And Reliability ◽  
Lighting Application

The purpose of this paper is an investigation of LEDs illumination experience at US-based aerodromes with an assessment of its feasibility and its necessity in Russia. The following methods were used: the analysis of aerodrome lighting requirements; the review and the analysis of development features in aerodrome LEDs illumination; the experience analysis of LEDs illumination of US-based aerodromes; the deductive analysis and the assessment synthesis of feasibility and necessity of US experience in LEDs illumination at Russian-based aerodromes. The following results were achieved: – The analysis of issues and opportunities was conducted for development of LEDs illumination at US-based aerodromes and of American experts’ recommendations for its use; – The cases were taken for use and assessment of development in LEDs illumination at US-based aerodromes; – The review and the analysis were conducted in relation to a developing market of LEDs illumination at Russian-based aerodromes. The main conclusion is that the US experience will improve quality and reliability of service provided in air transportation, comfort, and safety of Russian flights, as well as competitiveness of Russian- based airports and airlines (indirectly).

scholarly journals Data-Driven Study on the Sustainable Log Movements: Impact of Rail Car Fleet Size on Freight Storage and Car Idling

2020 ◽  
Vol 12 (11) ◽  
pp. 4563
Author(s):  
Sangpil Ko ◽  
Pasi Lautala ◽  
Kuilin Zhang
Keyword(s):  
Service Life ◽  
Seasonal Dynamics ◽  
Lake Superior ◽  
Data Driven ◽  
Short Term ◽  
Fleet Size ◽  
Interesting Observation ◽  
The Us ◽  
Term Storage ◽  
Scale Data

Rail car availability and the challenges associated with the seasonal dynamics of log movements have received growing attentions in the Lake Superior region of the US, as a portion of rail car fleet is close to reaching the end of its service life. This paper proposes a data-driven study on the rail car peaking issue to explore the fleet of rail cars dedicated to being used for log movements in the region, and to evaluate how the number of cars affects both the storage need at the sidings and the time the cars are idled. This study is based on the actual log scale data collected from a group of forest companies in cooperation with the Lake State Shippers Association (LSSA). The results of our analysis revealed that moving the current log volumes in the region would require approximately 400–600 dedicated and shared log cars in ideal conditions, depending on the specific month. While the higher fleet size could move the logs as they arrive to the siding, the lower end would nearly eliminate the idling of rail cars and enable stable volumes throughout the year. However, this would require short-term storage and additional handling of logs at the siding, both elements that increase the costs for shippers. Another interesting observation was the fact that the reduction of a single day in the loading/unloading process (2.5 to 1.5 days) would eliminate almost 100 cars (20%) of the fleet without reduction in throughput.

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