Vehicle tracking

A computing device for vehicle tracking, comprising:

• a memory;
• and
• a processor configured to execute instructions stored in the memory to:
• receive tracking data for a vehicle at an airport, wherein the tracking data includes primary tracking data from a primary tracking data source at the airport that includes a data record having a number of data fields including a tracking identifier for the vehicle, a callsign for the vehicle, and a vehicle movement type for the vehicle;
• determine whether the vehicle is being actively tracked using the primary tracking data responsive to receiving the primary tracking data;
• determine whether the data record included in the primary tracking data has a missing data field;
• generate, in response to determining the data record included in the primary tracking data has a missing data field, data for the missing data field using machine learning;
• generate a mapped data record using the primary tracking data and the generated data for the missing data field responsive to a determination that the vehicle is a same vehicle associated with a previously received data record;
• and
• refrain from generating the mapped data record and assign a new identifier to the data record responsive to a determination that the vehicle is not the same vehicle associated with the previously received data record.

A non-transitory computer readable medium having computer-readable instructions stored thereon that are executable by a processor to:

• receive tracking data for a vehicle at an airport, wherein the tracking data includes primary tracking data from a primary tracking data source at the airport including a data record including a number of data fields, the number of data fields including a tracking identifier for the vehicle, a callsign for the vehicle, and a vehicle movement type for the vehicle;
• determine whether the data record included in the primary tracking data has a missing data field from the number of data fields;
• in response to determining the data record included in the primary tracking data has a missing data field, generate data for the missing data field via K-Means clustering machine learning;
• generate a mapped data record using the primary tracking data and the generated data for the missing data field responsive to a determination that the vehicle is a same vehicle associated with a previously received data record;
• and
• refrain from generating the mapped data record and assign a new identifier to the data record responsive to a determination that the vehicle is not the same vehicle associated with the previously received data record.

A system for vehicle tracking, comprising:

• a primary tracking system located at an airfield of an airport to provide primary tracking data;
• a backup tracking system located at the airfield of the airport to provide backup tracking data;
• and
• a computing device configured to:
• receive primary tracking data for a vehicle at an airport from the primary tracking system, wherein the primary tracking data includes a data record including a number of data fields, the number of data fields including a tracking identifier for the vehicle, a callsign for the vehicle, and a vehicle movement type for the vehicle;
• determine whether the data record included in the primary tracking data has a missing data field from the number of data fields;
• in response to determining the data record included in the primary tracking data has a missing data field, generate data for the missing data field via K-Means clustering machine learning;
• generate a mapped data record using the primary tracking data and the generated data for the missing data field responsive to a determination that the vehicle is a same vehicle associated with a previously received data record;
• and
• refrain from generating the mapped data record and assign a new identifier to the data record responsive to a determination that the vehicle is not the same vehicle associated with the previously received data record