@article{Xu_Hu_Xiang_Wang_2014, author = {Xu, Tie and Hu, Qinyou and Xiang, Zhe and Wang, Deling}, title = {Marine Traffic Real-Time Safety Index}, journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation}, volume = {8}, number = {4}, pages = {599-603}, year = {2014}, url = {./Article_Marine_Traffic_Real-Time_Safety_Index_Xu,32,547.html}, abstract = {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.}, doi = {10.12716/1001.08.04.16}, issn = {2083-6473}, publisher = {Gdynia Maritime University, Faculty of Navigation}, keywords = {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} }