Human-oriented design : automatic collision avoidance by better man-machine interaction and information flow

Student thesis: Doctoral Thesis

Abstract

Despite the technological advancement and the automation of operations, yet, human involvement plays a fundamental role in ships navigation. Human is indispensable in any operation for their intellectual abilities of decision-making skills, based on available inputs and outputs. Moreover, the maritime industry has one of the most demanding operational obligations, where a single mistake can lead to catastrophic consequences that threaten lives, properties and environment. However, maritime accident statistics have revealed that more than 75% of maritime accidents are directly or indirectly linked to human errors (Chauvin, 2011). Out of all the accidents at sea; collision, contacts and grounding are estimated to be around 54.4%. It is obvious that reducing human errors will essentially enhance maritime safety and reduce the frequency of accidents at sea.The main aim of this research is to prevent these accidents by developing an Automatic Collision Avoidance System and by designing a human-oriented communication flow on the ship’s navigational bridge. This will increase the situational awareness of the crew to take necessary and timely actions, including speed reduction and manoeuvring. Additionally, this will allow crew members to make objective decisions based on real and correct information, rather than wrong decisions built on a wrong interpretation of the surrounding situation.The developed automatic collision avoidance system has been inspired by the well-known safety reputation, aviation industry. In aviation, to prevent mid-air collisions, the aeroplanes are fitted with the Traffic Alert Collision Avoidance System (TCAS). This is an independent system that automatically detects collision situation, alerts the pilots about the collision risk and provide the best avoidance action to prevent mid-air collisions.The ship’s bridge navigational simulator has been utilised to validate the effectiveness and operation of the automatic collisionavoidance system against the classical approach. Real ships collision investigation reports, from the Maritime Accident Investigation Branch (MAIB), were utilised to create scenarios for validation experiments, which were constructed using these real collision scenarios in the simulator environment to quantify the performance of the participants (OOW).
Date of Award20 Apr 2020
Original languageEnglish
Awarding Institution
  • University Of Strathclyde
SupervisorOsman Turan (Supervisor) & Evangelos Boulougouris (Supervisor)

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