Empirical analysis of complex network for marine traffic situation

2020 ◽  
Vol 214 ◽  
pp. 107848
Author(s):  
Zhongyi Sui ◽  
Yuanqiao Wen ◽  
Yamin Huang ◽  
Chunhui Zhou ◽  
Changshi Xiao ◽  
...  
Keyword(s):  
Complex Network ◽  
Empirical Analysis ◽  
Traffic Situation ◽  
Marine Traffic

scholarly journals A mechanism for evolution of the physical concepts network

2021 ◽  
Vol 24 (2) ◽  
pp. 24001
Author(s):  
V. Palchykov ◽  
M. Krasnytska ◽  
O. Mryglod ◽  
Yu. Holovatch
Keyword(s):  
Synergistic Effect ◽  
Complex Network ◽  
Empirical Analysis ◽  
Growth Models ◽  
Underlying Mechanism ◽  
Scientific Concepts ◽  
Network Growth ◽  
Preferential Selection ◽  
Network Characteristics ◽  
Two Factors

We suggest an underlying mechanism that governs the growth of a network of concepts, a complex network that reflects the connections between different scientific concepts based on their co-occurrences in publications. To this end, we perform empirical analysis of a network of concepts based on the preprints in physics submitted to the arXiv.org. We calculate the network characteristics and show that they cannot follow as a result of several simple commonly used network growth models. In turn, we suggest that a simultaneous account of two factors, i.e., growth by blocks and preferential selection, gives an explanation of empirically observed properties of the concepts network. Moreover, the observed structure emerges as a synergistic effect of these both factors: each of them alone does not lead to a satisfactory picture.

A Model for Calculating a Maritime Risk Criterion Number

1977 ◽  
Vol 30 (2) ◽  
pp. 287-295 ◽  
Author(s):  
C. van der Tak ◽  
J. A. Spaans
Keyword(s):  
Research Centre ◽  
Traffic Density ◽  
Traffic Situation ◽  
Traffic Patterns ◽  
Speed Distribution ◽  
The North ◽  
Marine Traffic ◽  
Risk Criterion ◽  
The North Sea ◽  
Sea Area

Early in 1976 the Navigation Research Centre of the Netherlands Maritime Institute started research to develop a ‘maritime risk criterion number’ for a specific sea area. The need was urgent as the Navigation Research Centre (NRC) became more involved in marine traffic studies in the North Sea and the approaches to Dutch harbours. The main purpose is to calculate the criteria for traffic patterns in a given area as an element in the information needed to find the best regulatory solution for the overall traffic situation. The criterion should give due recognition to such elements as the traffic density, the course and speed distribution of the traffic, and the danger classes of the ships participating in the traffic.

scholarly journals Modelling of the Marine Traffic Situation Complexity

2016 ◽  
Vol 68 ◽  
pp. 15002 ◽  
Author(s):  
Xiaoqiao Geng ◽  
Liang Huang ◽  
Yuanqiao Wen ◽  
Chunhui Zhou
Keyword(s):  
Traffic Situation ◽  
Marine Traffic

Marine Traffic off the Coast of East Anglia

1981 ◽  
Vol 34 (3) ◽  
pp. 379-391 ◽  
Author(s):  
R. F. Chalk ◽  
S. C. Dare ◽  
G. R. G. Lewison
Keyword(s):  
Prima Facie ◽  
Separation Scheme ◽  
Traffic Situation ◽  
Accident Rate ◽  
East Anglia ◽  
Marine Management ◽  
Marine Traffic ◽  
Management Measures ◽  
The World ◽  
Reasonable Inference

It has for some years now almost been folklore that the marine traffic situation in the Dover Strait is one of great potential danger. Very considerable efforts have been made to alleviate the situation. There is a complete traffic separation scheme (the first in the world), there is continuous radar surveillance both from England and France, there are routine broadcasts on v.h.f. to warn mariners of any navigational problems, and there is now a system whereby certain ships report-in. Concurrently with all this activity, the accident rate has dropped significantly over the last decade, especially in fog, and it is a reasonable inference that the reduction in the number and severity of accidents is attributable to this activity.But patterns of navigation change, and it is necessary for marine administrators to be aware of problem areas as or before they arise so that marine management measures can be introduced when appropriate. Factors to be taken into account are the volume and characteristics of the traffic, the difficulty of navigation and the accident record. One of us has drawn attention to the traffic situation off East Anglia and suggested that a prima facie case for some remedial measures had been made. This paper examines the available evidence in more detail.First, an account is given of the accident record in the area under consideration (Figs 1, 2) over the last 10 years. Both the numbers and severity of collisions and strandings are discussed.

Modelling Ship Density Using a Molecular Dynamics Approach

2019 ◽  
Vol 73 (3) ◽  
pp. 628-645
Author(s):  
Zihao Liu ◽  
Zhaolin Wu ◽  
Zhongyi Zheng
Keyword(s):  
Molecular Dynamics ◽  
Distribution Function ◽  
Radial Distribution Function ◽  
Case Studies ◽  
Traffic Situation ◽  
Ship Traffic ◽  
Marine Traffic ◽  
Proposed Model ◽  
Global Density ◽  
Bohai Strait

Ship density is widely accepted as a basic and major indicator to reflect the marine traffic situation, but it has some limitations in representing the compactness and complexity of ship traffic. To overcoming these limitations, the paper proposes a novel ship density model based on the radial distribution function in molecular dynamics. The proposed model can identify the density and compactness of traffic around each ship and then map the ship density from a microscopic perspective. In addition, the proposed model can identify the global density and the complexity of ship traffic to some extent in the macroscopic perspective. Utilising case studies, the effectiveness of the proposed model is validated through the analysis of ship density in several regions in the Bohai Strait area. The proposed model is developed to help marine surveillance operators gain a better understanding of the traffic situation and to assist them in their work, eventually contributing to navigational safety.

An Empirical Analysis of the Obtrusiveness of and Participants' Compliance with the Electronically Activated Recorder (EAR)

2007 ◽  
Vol 23 (4) ◽  
pp. 248-257 ◽  
Author(s):  
Matthias R. Mehl ◽  
Shannon E. Holleran
Keyword(s):  
Empirical Analysis ◽  
Sampling Method ◽  
Daily Life ◽  
Assessment Method ◽  
Data Confidentiality ◽  
Short Term ◽  
Naturally Occurring ◽  
Two Samples ◽  
Audio Recorder ◽  
Term Monitoring

Abstract. In this article, the authors provide an empirical analysis of the obtrusiveness of and participants' compliance with a relatively new psychological ambulatory assessment method, called the electronically activated recorder or EAR. The EAR is a modified portable audio-recorder that periodically records snippets of ambient sounds from participants' daily environments. In tracking moment-to-moment ambient sounds, the EAR yields an acoustic log of a person's day as it unfolds. As a naturalistic observation sampling method, it provides an observer's account of daily life and is optimized for the assessment of audible aspects of participants' naturally-occurring social behaviors and interactions. Measures of self-reported and behaviorally-assessed EAR obtrusiveness and compliance were analyzed in two samples. After an initial 2-h period of relative obtrusiveness, participants habituated to wearing the EAR and perceived it as fairly unobtrusive both in a short-term (2 days, N = 96) and a longer-term (10-11 days, N = 11) monitoring. Compliance with the method was high both during the short-term and longer-term monitoring. Somewhat reduced compliance was identified over the weekend; this effect appears to be specific to student populations. Important privacy and data confidentiality considerations around the EAR method are discussed.

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