了解你的安全指标——基于大数据分析的商船船首交叉距离测定

Know your safety indicator – A determination of merchant vessels Bow Crossing Range based on big data analytics

Reliability Engineering and System Safety · 2021
被引 56
ABS 3

中文导读

利用十年AIS大数据分析商船日常航行中船首交叉距离的典型值及其影响因素,发现其与航行区域类型强相关,而与船舶尺寸或速度无关,为船队管理者和自主船舶开发者提供参考。

Abstract

Even in the era of automatization maritime safety constantly needs improvements. Regardless of the presence of crew members on board, both manned and autonomous ships should follow clear guidelines (no matter as bridge procedures or algorithms). To date, many safety indicators, especially in collision avoidance have been proposed. One of such parameters commonly used in day-to-day navigation but usually omitted by researchers is Bow Crossing Range (BCR). Therefore, this paper aims to investigate, what are typical, empirical values of BCR during routine operations of merchant ships, as well as investigate what factors impact this indicator and to what extent. To this end, a ten-year big dataset of real maritime traffic obtained from the Automatic Identification System (AIS) was used to provide statistical and spatiotemporal analyses. The results indicate that BCR is strongly related to the type of navigational area (open sea or restricted waters) but not with the dimensions or speed of ships. Among analyzed vessel types, passenger ships were noted as vessels that cross other bows at the closes ranges. Results of this study may be found interesting by fleet managers and developers of Maritime Autonomous Surface Ships (MASS). The former could utilize the results to provide revised operational guidelines for deck officers while the latter - propose an early-detection warning system based on empirical data for prospective MASS.

海事安全碰撞避免大数据分析自动识别系统商船操作