I conducted an experiment with multiple human participants to analyze some air traffic scenarios. Some data has turned out to be very unrealistic. Take a look at the following pics which shows the time trace of aircraft positions. Each participant is given the responsibility to fly one aircraft (one time trace line indicates one participant).
The first one shows a realistic way of flying an aircraft when encountering an obstacle (not the only way, but one of the possible ways). The second one shows a completely unrealistic situation where the aircraft is snaking around. I need to impute this bad data since I can't conduct my experiments again.
My initial approach was to use data from another group for this particular aircraft. However, this will result in having a perfect correlation between the two groups for the particular aircraft.
Any ideas on how I can approach this in a justifiable manner is welcome. Thanks in advance.