Delays within the maritime supply chain can lead to a “hurry-up-and-wait” syndrome of vessels sailing at a predetermined speed to their destination port to find the terminal or port not ready thus waiting at anchorage in the port area. Updated information about current states are not communicated to all partners in the different port call phases. This makes traffic of vessels waiting, entering, and departing from ports challenging. Communicating terminal or port readiness earlier to vessels allows them to adjust speed and save fuel of up to 23% of the overall voyage including the avoidance of greenhouse gas emissions. The average annual waiting time at anchorage is found to be ca. 9% for wet bulk, ca. 9% for dry bulk, ca. 7% for LPG tankers, ca. 7% for dry breakbulk, ca. 5% for container ships, and ca. 4% for LNG tankers. RoRo-vessels benefit from less traffic-condensed port entries and seaways as well as transparent real-time communication of readiness levels regarding ports and terminals as well as multi-modal hinterland transportation critical for RoRo-port departures. MISSION will develop an interoperable digital real-time-based optimization and decision support tool enabling coordinated port call operations planning and execution in terms of time, fuel consumption, environmental impact, and safety spanning the overall maritime supply chain. Stakeholders benefits from increased transparency and information sharing between shipping companies, terminals, ports, and service providers, enabled to optimize their resource and capacity planning including port’s hinterland modalities in compliance with the Maritime Labor Convention.

Currently, both maritime and aviation sectors are lacking a systematic approach to collect and assess Human Factors information in normal and emergency conditions. There is also a lack of agreed methodology to assess human-related risks with the aim of influencing design and operation of aircraft and ships. Therefore, the research question being addressed in this project is “How to fully capture human elements and their interaction with the other system elements to enhance safety in maritime and aviation operations?” It is important to address Human Factors aspects in relation to risk-based design of system and operations in a measurable manner by taking the variation in human behaviour over time and the non-flexibility of machines into consideration. The main aim of SAFEMODE project is to develop a novel HUman Risk Informed Design (HURID) framework in order to identify, collect and assess Human Factors data to inform risk-based design of systems and operation. These aims have not been achieved previously at a desirable level due to the unavailability of systematically collected data and lack of cooperation between different transport modes. The focus will be to reduce risks for safety critical situations, (e.g. mid-air collisions, grounding, evacuation, runway excursions etc.) through the enhancement of human performance. This will be achieved through investigation of past accidents, incidents, near-misses, reports, data from everyday operations, including previously unknown uncertainties such as increasing levels of automation and increased number of drones in transportation. This information will be incorporated the HURID framework and tools and into SHIELD, the open data repository and the living database, that will be maintained and continuously updated.