Marine Traffic Real-Time Safety Index

• Autorzy: Xu T. , Hu Q. Y. , Xiang Z. , Wang D. L.

Identyfikatory

DOI

10.12716/1001.08.04.16

• Języki publikacji: EN

Abstrakty

EN

To reflect the safety degree of marine traffic in real-time and intuitively, this paper put forward a concept of real-time safety index of marine traffic, established marine traffic real-time safety index system, and constructed a real-time safety index evaluation model by using vessel traffic and navigation environmental data provided by shore-based AIS base station network, and quantifying a variety of data which impacts the safety of marine traffic such as ships’ real-time dynamic data, weather changes and so on. A continuous real-time evaluation to a specific area was carried out in the form of real-time index curve, taking the Waigaoqiao Channel of Port Shanghai as an example, to verify the feasibility and effectiveness of marine traffic real-time safety index.

Słowa kluczowe

EN

vessel traffic; safety at sea; Marine Traffic; Marine Traffic Real-Time Safety Index; Real Time; Real-Time Safety Index; Automatic Identification System (AIS); Waigaoqiao Channel

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2014
• Tom: Vol. 8 no. 4
• Strony: 599--603
• Opis fizyczny: Bibliogr. 5 poz., rys., tab.

Twórcy

autor

Xu T.

• Shanghai Maritime University, Shanghai, China

autor

Hu Q. Y.

• Shanghai Maritime University, Shanghai, China

autor

Xiang Z.

• Shanghai Maritime University, Shanghai, China

autor

Wang D. L.

• Shanghai Maritime University, Shanghai, China

Bibliografia

• [1] Ao Jian, Hu Qinyou, Zhao Renyu. On the Real‐time Safety Index Method for the Navigable Waters. The Journal of Ship and Ocean Engineering, Vol.37, No.4:78‐ 82, 2008.
• [2] E.M.Goodwin. A statistical study of ship domain. The Journal of Navigation, 1975, vol.28, no.3:328‐344.
• [3] E.M.Goodwin. Determination of ship Domain Size. Proceedings of International Conference on Mathematical Aspect of Marine Traffic. London: Academic Press, 1977:103‐127.
• [4] GE Rong, HU Qinyou. Abnormal analysis on weight vector in marine traffic weighted safety assessment. The Journal of Shanghai Maritime University, vol.35, no.1:14‐17, 2014.
• [5] Z. Xiang, Q. Hu & C. Shi. A Clustering Analysis for Identifying Areas of Collision Risk in Restricted Waters. TransNav, Vol 7, No1:101‐105, MAR, 2013.