Abstract

For the international exchange of goods, an exact estimated time of arrival (ETA), especially in case of delays, is of great importance. Using global data of the automatic identification system (AIS) a grid node is generated. The sum of such nodes and their connections form a routing graph. As an example, with one node of in total more than 100,000 nodes it is described how this point gets the maximum vessel length and draft assigned.

Highlights

  • Most of the goods are transported across the world’s oceans

  • Operational disruptions or weather-related delays may cause deviations from the actual timetable. It is of considerable importance for stakeholders in a logistics chain to be informed about punctuality or deviations from the timetable [Mestl, 2016]

  • In [Loh, 2015, p. 331] the Cost Consequences of a Port-Related Supply Chain Disruption, the advantages of a more precise Estimated Time of Arrival (ETA) are shown for Chinese ports

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Summary

Introduction

Most of the goods are transported across the world’s oceans. Since there are no fixed waterways by sea, with a few exceptions, every ship can freely choose its trajectory. Operational disruptions or weather-related delays may cause deviations from the actual timetable. It is of considerable importance for stakeholders in a logistics chain to be informed about punctuality or deviations from the timetable [Mestl, 2016]. A continuously updated Estimated Time of Arrival (ETA) is important. To determine this ETA, a routing graph that is as accurate as possible is a very important requirement [Toth, 2014]. 331] the Cost Consequences of a Port-Related Supply Chain Disruption, the advantages of a more precise ETA are shown for Chinese ports. Both papers clearly identify the ETA as one of the most important factors to reduce costs

MERMAID and its objectives
Evaluation of AIS data
Generic creation of the network
Manual expandability and integration of ports
Ship type-specific routing
Origin of the data
Preparation and evaluation of the data
Data requirements
Preparation challenges
Single steps in the evaluation
Assigning attributes to the routing graph
Discussion and interpretation of the results
Related work

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