Conflict probing consists of predicting the future separation between ownship and hazards for a set of ownship velocity vectors, up to a predefined prediction horizon. Using predefined alert thresholds, the probing data indicates which ownship velocity vectors will lead to a future conflict and what the corresponding time to conflict is. This information can be used for automated conflict avoidance and for providing awareness and decision support in case operator involvement is desired. As probing is performed in real-time, the conflict space is continuously updated while the situation develops. E.g., unforeseen maneuvers of intruder aircraft will be reflected by corresponding changes of the conflict space. Probing data allows for the depiction of the predicted future separation on a display. Hence, it provides awareness without the need for the hazard itself to be displayed. Furthermore, conflict probing can provide a common framework for the computation of coordinated conflict avoidance maneuvers that include integration of multiple types of hazards and constraints such as vehicle performance and right-of-way rules. The concept is scalable in terms of probe dimensions, prediction algorithms, look-ahead time, alerting thresholds, types of hazards and level of operator involvement. Simulations can provide measures for determining minimal input data accuracy requirements, maximum look-ahead times and maneuver strategies that are least susceptible to uncertainties. The scalability enables a range of possible implementations, specifically matched to the concept of operation, the available data, interfaces and displays, allowing gradual implementation.