In a complex system, a heterogeneous team with diverse expertise should coordinate to solve complex problems. However, goal differences and various information systems have been identified as causing operational disconnects and resource competition between agents. This research is based on Changi airport, Singapore, which investigates the relationship among information sharing, two types of interactions, and system outcomes by performing agent-based modeling (ABM) to obtain practical strategies to avoid conflicts owing to resource competition in heterogeneous teams. Simulation results are assessed by considering reliability and efficiency. The system with improved implicit interactions reduced consumed fuel by up to 13%. Simultaneously, both types of interactions partially improve system reliability by reducing the need for go-arounds and facilitate system efficiency by improving the overall mobility of air traffic flow. The system with a mixing pattern of interactions achieves optimal improvements. To fully leverage the potential benefits, both types of interactions should be considered integrally. Accordingly, information that reveals the onset of nonroutine scenarios should be monitored by both parties to connect implicit and explicit interactions.
INDEX TERMSAir traffic control; landing system; team cognition; information sharing; mental model disconnects; agent-based modeling I. INTRODUCTION 25 In commercial aviation, landing safety is a popular topic that 26 attracts the attention of many researchers. Historical reports 27 show that more than 50% of fatal accidents occurred during 28 the landing phase, making it the flight phase with the highest 29 accident rate [1]. In a landing system, pilots and air traffic 30 controllers (ATCOs) in a heterogeneous team must 31 coordinate to achieve the required system performance. In 32 general, ATCOs provide pilot instructions to manage air 33 traffic flow, while pilots must simultaneously ensure landing 34 safety. However, achieving high-quality interaction has been 35 identified as a major challenge. The time pressure and 36 limited airspace demand high-intensity interactions to 37 frequently adjust an aircraft's flight state [2]. Furthermore, it 38 has been identified that agents with diverse expertise may 39 compete for mutual resources for the respective performance 40 [3]. For instance, some ATCOs prefer high-speed clearance 41 to increase the air traffic flow intake while sacrificing pilot 42 safety margins to stabilize aircraft. This issue can be a cause 43 for interaction conflicts or possible adverse events [4, 5]. 44 To mitigate the competition caused by the requirement 45 conflicts between parties, information transparency is 46 fundamental for teams to develop descent team cognition.47 Information transparency refers to the consistency by which 48 team members monitor the overall system state. In the case 49 of landing systems, diverse information systems cause 50 inconsistent monitoring and evaluation, resulting in 51 erroneous operations [6, 7]. Currentl...