Scheduling Drones for Ship Emission Detection from Multiple Stations

Various port cities and authorities have established emission control areas (ECAs) to constrain ships’ fuel usage in a specified offshore geographical range. However, these ECA policies involve high costs low monitoring regulation enforcement efficiencies. In this study, meeting model was used investigate the drone-scheduling problem by considering simultaneous movements of drones ships. Set-covering integer linear programs were developed formulate assignments ships, solution algorithm devised determine moving times positions for particular The proposed models algorithms employed verified experiments. flying datasets with three drone base stations shorter than those two. More resulted distances. use enabled acquirement distances when it not used. more ships had longer distances, almost relationships. sensitivity effect varying 5% speeds on time metrics less 1%, affecting distance about 4–5%. Accelerating effective towards optimizing drones’ times. Numerical studies showed that consideration allowed reduction increased efficiency. Based modeling experimental studies, managerial implications possible extensions are discussed.