Metrics for vessel traffic intensity assessing in a marine area

• Andrey V. Artemyev

  Andrey V. Artemyev. Maritime State University named after admiral G.I. Nevelskoy. Vladivostok. Russia

• Grinyak V.M.

  Victor M. Grinyak Vladivostok State University. Vladivostok. Russia

• Yuryi S. Ivanenko

  Yuryi S. Ivanenko/ Far Eastern Federal University. Vladivostok. Russia

• Alena V. Shulenina

  Alena V. Shulenina. Institute of Automation and Control Processes FEBRAS. Vladivostok. Russia

he paper is devoted to the problem of assessing the safety of traffic in marine waters. Traditionally, this is done within the framework of interpreting the concept of vessel traffic density. There are probabilistic mathematical models for representing this concept. However, direct use of these models for practical solutions of the problem in conditions of limited waters is difficult. An alternative approach to assessing
the safety of a water area is the introduction of a system of indicators – metrics characterizing a particular aspect of traffic density based on the processing of retrospective trajectory data on vessel traffic. The article describes possible sources of such data and their features: composition, discreteness, variable update period, the need to supplement missing records. A system of four metrics for assessing the density of vessel
traffic is proposed: vessel traffic intensity, traffic intensity considering vessel speed, traffic intensity taking into account vessel size, and stability of vessel traffic parameters. The results of calculating these metrics for a few real water areas are presented: the Tsugaru Strait, Tokyo Bay, Busan, and the Seto Inland Sea. A possible approach to defining an integrated metric is discussed. A conclusion is made about the produc-
tivity of the proposed approach for practice: it is possible to define a system of metrics that can provide an informative picture of the characteristics of water area traffic in terms of the workload of navigators and navigation safety.
Keywords: marine safety, traffic intensity, ship trajectory, ship traffic, traffic area, Automatic identification system