UAM is a new mode of transportation and will fundamentally change current concepts of air transportation operations, which are based on schedules and constrained by predefined air routes under air traffic control. Moreover, when ground transportation is partially replaced by UAM, UAM's traffic volume will exceed that of traditional air transportation and low-altitude airspace will be congested.

ATM@KAU is interested in optimizing UAM operations such as:

• vehicle route scheduling

• optimal fleet design

Safety is the most important issue in a transportation system. Safety risk of a hazardous event is the product of the probability and severity of the event. So, the key element of risk assessment is to estimate the probability of hazardous events and evaluate their consequences.

ATM@KAU is interested in assessing safety risk of air transportation systems such as:

• en-route traffic

• remotely piloted aircraft system

• (small) unmanned aircraft system

• UAM

The objective of Air Traffic Flow Management (ATFM) is to accommodate traffic demand within the capacity of airspace and airport. Thus, it is important to predict the capacity accurately.

ATM@KAU is interested in predicting the capacity of airspace and airport by using:

• machine learning techniques

• human-in-the-loop simulation