A Predictive Analytics Method for Maritime Traffic Flow Complexity Estimation in Inland Waterways

2022 ◽  
pp. 108317
Author(s):  
Mingyang Zhang ◽  
Di Zhang ◽  
Shanshan Fu ◽  
Pentti Kujala ◽  
Spyros Hirdaris
Keyword(s):  
Traffic Flow ◽  
Predictive Analytics ◽  
Inland Waterways ◽  
Maritime Traffic ◽  
Complexity Estimation

scholarly journals Traffic Inequality and Relations in Maritime Silk Road: A Network Flow Analysis

2021 ◽  
Vol 10 (1) ◽  
pp. 40
Author(s):  
Naixia Mou ◽  
Haonan Ren ◽  
Yunhao Zheng ◽  
Jinhai Chen ◽  
Jiqiang Niu ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Network Flow ◽  
Road Traffic ◽  
Flow Analysis ◽  
Silk Road ◽  
Identification System ◽  
Traffic Network ◽  
Trajectory Data ◽  
Maritime Traffic ◽  
Maritime Silk Road

Maritime traffic can reflect the diverse and complex relations between countries and regions, such as economic trade and geopolitics. Based on the AIS (Automatic Identification System) trajectory data of ships, this study constructs the Maritime Silk Road traffic network. In this study, we used a complex network theory along with social network analysis and network flow analysis to analyze the spatial distribution characteristics of maritime traffic flow of the Maritime Silk Road; further, we empirically demonstrate the traffic inequality in the route. On this basis, we explore the role of the country in the maritime traffic system and the resulting traffic relations. There are three main results of this study. (1) The inequality in the maritime traffic of the Maritime Silk Road has led to obvious regional differences. Europe, west Asia, northeast Asia, and southeast Asia are the dominant regions of the Maritime Silk Road. (2) Different countries play different maritime traffic roles. Italy, Singapore, and China are the core countries in the maritime traffic network of the Maritime Silk Road; Greece, Turkey, Cyprus, Lebanon, and Israel have built a structure of maritime traffic flow in the eastern Mediterranean Sea, and Saudi Arabia serves as a bridge for maritime trade between Asia and Europe. (3) The maritime traffic relations show the characteristics of regionalization; countries in west Asia and the European Mediterranean region are clearly polarized, and competition–synergy relations have become the main form of maritime traffic relations among the countries in the dominant regions. Our results can provide a scientific reference for the coordinated development of regional shipping, improvement of maritime competition, cooperation strategies for countries, and adjustments in the organizational structure of ports along the Maritime Silk Road.

Ship Traffic Flow Prediction Based on Fractional Order Gradient Descent with Momentum for RBF Neural Network

2020 ◽  
pp. 1-8
Author(s):  
Xue Han
Keyword(s):  
Neural Network ◽  
Traffic Flow ◽  
Fractional Order ◽  
Gradient Descent ◽  
Traffic Accidents ◽  
Rbf Neural Network ◽  
Port Management ◽  
Ship Traffic ◽  
Maritime Traffic ◽  
Marine Traffic

To prevent the maritime traffic accidents and make scientific decision, scientific and accurate prediction of the traffic flow is useful, which has often been made by neural network. The weight updating methods have played an important role in improving the performance of neural networks. To ameliorate the oscillating phenomenon in training radial basis function (RBF) neural network, a fractional order gradient descent (GD) with momentum method for updating the weights of RBF neural network (FOGDM-RBF) is proposed. Its convergence is proved. The new algorithm is used to predict vessel traffic flow at Xiamen Port. It performs stable and converges to zero as the iteration increases. The results verify the theoretical results of the proposed algorithm such as its monotonicity and convergence. The descending curve of error values by fractional order GDM is smoother than the GD and GDM method. Error analysis shows that the algorithm can effectively accelerate the convergence speed of the GD method and improve its performance with high accuracy and validity. The influence of fractional order, number of hidden layer neurons, tide peak hours, and ship size is analyzed and compared. 1. Introduction As the world shipping becomes more and more busy, the large ship traffic flow leads to frequent maritime traffic accidents, resulting in huge economic losses. Ship traffic flow is a basic system in marine traffic engineering and an important index to measure the construction of marine traffic infrastructure. Its prediction results can provide basis for formulating scientific Port management planning and ship navigation management. Therefore, to ensure the accuracy and rationality of ship traffic flow forecasting is of great significance for improving port infrastructure construction and formulating scientific port management strategies. Many advanced artificial intelligence optimization algorithms have been used for ship traffic flow forecasting, such as artificial neural network (Zhai 2013; Zhang 2015). Neural network can deal with complex nonlinear problems and has achieved some results. However, the neural network itself has some shortcomings, such as slow learning speed, easy to fall into the local extremum, learning and memory instability, etc.

Assessment of the Influence of Offshore Wind Farms on Ship Traffic Flow Based on AIS Data

2019 ◽  
Vol 73 (1) ◽  
pp. 131-148 ◽  
Author(s):  
Qing Yu ◽  
Kezhong Liu ◽  
A.P. Teixeira ◽  
C. Guedes Soares
Keyword(s):  
Statistical Analysis ◽  
Traffic Flow ◽  
Wind Farms ◽  
Offshore Wind ◽  
Automatic Identification ◽  
Identification System ◽  
Offshore Wind Farms ◽  
Ship Traffic ◽  
Maritime Traffic ◽  
Before And After

This paper proposes a framework to assess the influence of Offshore Wind Farms (OWFs) on maritime traffic flow based on raw Automatic Identification System (AIS) data collected before and after the installation of the offshore wind turbines. The framework includes modules for data acquisition, data filtering and statistical analysis. The statistical analysis characterises the influence of an OWF on maritime traffic in terms of minimum passing distances and lateral distribution of the ship trajectories near the OWF. The framework is applied to a specific route for which AIS data is available before and after an OWF installation. The impacts of the OWF on marine traffic are diverse and depend on the ship type categories. This paper quantitatively characterises an OWF's influence on a specific route that is probabilistically modelled, which is important for further studies on OWF site selection and maritime traffic risk assessment and management.

scholarly journals DIRECTIONS FOR UPDATING THE ADMINISTRATION OF ACTIVITIES ON INLAND WATERWAYS OF UKRAINE

2021 ◽  
pp. 61-67
Author(s):  
V. V. Haverskyi
Keyword(s):  
Transition Period ◽  
Legal Regulation ◽  
State Regulation ◽  
The State ◽  
Inland Waterways ◽  
Legal Standards ◽  
Inland River ◽  
Maritime Traffic ◽  
Inland Waterway

Based on historical development, the article identifies prospects for updating the modern organizational and legal support of inland waterway management in Ukraine. The relevance of the research topic is due to the adoption of the Law of Ukraine “On Inland Water Transport” and the absence of certain public institutions that carry out state regulation in the field of transport. According to the author, this slows down the effectiveness of the new Law implementation and worsens the state of updated industrial legislation development. It is noted that the creation of the regulation effective system and management of activities on inland waterways is the significant aspect of further development of the industry. The task of the article is to develop suggestions for improving the legal regulation of inland waterway management in Ukraine for the transition period. The author identifies the genesis of legal standards of inland waterway management based on the use of methods of historicism, formal-legal analysis and synthesis, as well as scientific forecasting. Their predominant focus on the vectors of public (state) influence formulation, the spread of coastal states’ power to activities on rivers and the lack of attention to the self-governing functions of private maritime traffic entities. The importance of forces and means of regulation/management balance maintaining for the formation of the effective impact on the relationship that develops during transportation by inland waterways is underlined. Emphasis is given to the fact that the development of river transport is impossible without the important role of the state and its bodies and the secondary, auxiliary role of associations of economic entities and public entities to ensure the operational impact on crisis situations. It is suggested to form self-governing institutions that are directly involved in maritime traffic and other uses of inland river connections, and to ensure their stable cooperation with government agencies for the best possible regulation of the industry.

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