Towards high-performance global air transportation networks using socioeconomic-environmental data

2016 ◽  
Author(s):  
Hidefumi Sawai ◽  
Aki-Hiro Sato
Keyword(s):  
High Performance ◽  
Transportation Networks ◽  
Air Transportation ◽  
Environmental Data

Dynamics of Disruption and Recovery in Air Transportation Networks

2021 ◽  
Author(s):  
Max Li ◽  
Karthik Gopalakrishnan ◽  
Hamsa Balakrishnan ◽  
Sang Hyun Shin ◽  
Darsh Jalan ◽  
...  
Keyword(s):  
Transportation Networks ◽  
Air Transportation

Network dynamics on the Chinese air transportation multilayer network

2021 ◽  
pp. 2150070
Author(s):  
Yong Yang ◽  
Kai-Jun Xu ◽  
Chen Hong
Keyword(s):  
Success Rate ◽  
Transportation Networks ◽  
Human Mobility ◽  
Transportation Network ◽  
Air Transportation ◽  
Transfer Number ◽  
Multilayer Network ◽  
Scheduling Model ◽  
Network Mechanism ◽  
Random Failures

Air transportation networks play important roles in human mobility. In this paper, from the perspective of multilayer network mechanism, the dynamics of the Chinese air transportation network are extensively investigated. A multilayer-based passengers re-scheduling model is introduced, and a multilayer cooperation (MC) approach is proposed to improve the efficiency of network traffic under random failures. We use two metrics: the success rate and the extra transfer number, to evaluate the efficiency of re-scheduling. It is found that a higher success rate of passengers re-scheduling can be obtained by MC, and MC is stronger for resisting the instability of the capacity of links. Furthermore, the explosion of the number of extra transfer can be well restrained by MC. Our work will highlight a better understanding of the dynamics and robustness of the Chinese air transportation network.

scholarly journals Analytics for directed contact networks

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
George Cybenko ◽  
Steve Huntsman
Keyword(s):  
Anomaly Detection ◽  
Markov Model ◽  
Social Networking ◽  
Data Reduction ◽  
Transportation Networks ◽  
Air Transportation ◽  
Temporal Networks ◽  
Contact Networks ◽  
Information Transfers ◽  
Specific Sequences

AbstractDirected contact networks (DCNs) are temporal networks that are useful for analyzing and modeling phenomena in transportation, communications, epidemiology and social networking. Specific sequences of contacts can underlie higher-level behaviors such as flows that aggregate contacts based on some notion of semantic and temporal proximity. We describe a simple inhomogeneous Markov model to infer flows and taint bounds associated with such higher-level behaviors, and also discuss how to aggregate contacts within DCNs and/or dynamically cluster their vertices. We provide examples of these constructions in the contexts of information transfers within computer and air transportation networks, thereby indicating how they can be used for data reduction and anomaly detection.

FINDING COMMUNITY STRUCTURE IN SPATIAL MARITIME SHIPPING NETWORKS

2012 ◽  
Vol 23 (06) ◽  
pp. 1250044 ◽  
Author(s):  
ZHUO SUN ◽  
JIANFENG ZHENG ◽  
HONGTAO HU
Keyword(s):  
Community Structure ◽  
Numerical Experiments ◽  
Transportation Networks ◽  
Road Networks ◽  
Air Transportation ◽  
Urban Road ◽  
Maritime Shipping ◽  
Edge Removal ◽  
Shipping Networks

This study explores the community structure in spatial maritime shipping networks. As compared with air transportation networks and urban road networks, ports in spatial maritime shipping networks have smaller connections due to the physical confinement. A new divisive algorithm is proposed for detecting community structure in spatial maritime shipping networks. At each iteration for modularity optimization, the length of each edge is successively updated, instead of edge removal used in the conventional divisive method. Finally, numerical experiments based on the global maritime shipping network are carried out to account for the properties of community structure in spatial maritime shipping networks.

Design of air transportation networks

1973 ◽  
Vol 7 (3) ◽  
pp. 207-222 ◽  
Author(s):  
Steven Gordon ◽  
Richard de Neufville
Keyword(s):  
Transportation Networks ◽  
Air Transportation

scholarly journals Real-time Analysis of City Scale Transportation Networks in New Orleans Metropolitan Area using an Agent Based Model Approach

2019 ◽  
Vol 271 ◽  
pp. 06007
Author(s):  
Millard McElwee ◽  
Bingyu Zhao ◽  
Kenichi Soga
Keyword(s):  
New Orleans ◽  
Real Time ◽  
High Performance ◽  
Large Scale ◽  
Transportation Networks ◽  
Transportation Network ◽  
Regional Scale ◽  
Agent Based Model ◽  
Agent Based ◽  
Real Time Analysis

The primary focus of this research is to develop and implement an agent-based model (ABM) to analyze the New Orleans Metropolitan transportation network near real-time. ABMs have grown in popularity because of their ability to analyze multifaceted community scale resilience with hundreds of thousands of links and millions of agents. Road closures and reduction in capacities are examples of influences on the weights or removal of edges which can affect the travel time, speed, and route of agents in the transportation model. Recent advances in high-performance computing (HPC) have made modeling networks on the city scale much less computationally intensive. We introduce an open-source ABM which utilizes parallel distributed computing to enable faster convergence to large scale problems. We simulate 50,000 agents on the entire southeastern Louisiana road network and part of Mississippi as well. This demonstrates the capability to simulate both city and regional scale transportation networks near real time.

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