Abstract: A method of using airport surveillance data to determine a location of a delay and an amount of time a vehicle is subjected to the delay during a movement of the vehicle between locations including obtaining a time-ordered sequence of data points representing the movement of the vehicle, creating a speed vector (sv) for each data point, replacing ground speed elements in the speed vector (sv) with a one when the ground speed element is less than a speed threshold, performing a spatial density test on each data point in a sequence of consecutive one entries, defining a starting and stopping index for a consecutive sequence of data points as a preliminary hold, determining whether to merge adjacent preliminary holds, determining a time duration of each preliminary hold and eliminating any preliminary hold having a time duration less than a predetermined time duration and outputting the results.

Abstract: A method of using airport surveillance data to determine a location of a delay and an amount of time a vehicle is subjected to the delay during a movement of the vehicle between locations including obtaining a time-ordered sequence of data points representing the movement of the vehicle, creating a speed vector (sv) for each data point, replacing ground speed elements in the speed vector (sv) with a one when the ground speed element is less than a speed threshold, performing a spatial density test on each data point in a sequence of consecutive one entries, defining a starting and stopping index for a consecutive sequence of data points as a preliminary hold, determining whether to merge adjacent preliminary holds, determining a time duration of each preliminary hold and eliminating any preliminary hold having a time duration less than a predetermined time duration and outputting the results.

Abstract: A method using airport surveillance data to output a location of a delay and an amount of time a vehicle is subjected to the delay during a movement of the vehicle between two locations, the delays being observed in the surveillance data as a knot of several data points. A first method is used to identify proposed knots based on distances between individual data points within the data. A second method is used to identify proposed knots based on the speed of the vehicle. Another method can be used to separate proposed knots have been incorrectly joined together. This method performs the separation by arranging the data points into a two-dimensional grid to form clusters of grid cells having data points. The location of the individual cells is then analyzed to determine whether clusters should be separated. Each of the remaining clusters defines a hold where the vehicle is delayed.

Abstract: A method using airport surveillance data to output a location of a delay and an amount of time a vehicle is subjected to the delay during a movement of the vehicle between two locations, the delays being observed in the surveillance data as a knot of several data points. A first method is used to identify proposed knots based on distances between individual data points within the data. A second method is used to identify proposed knots based on the speed of the vehicle. Another method can be used to separate proposed knots have been incorrectly joined together. This method performs the separation by arranging the data points into a two-dimensional grid to form clusters of grid cells having data points. The location of the individual cells is then analyzed to determine whether clusters should be separated. Each of the remaining clusters defines a hold where the vehicle is delayed.

Abstract: A method using airport surveillance data to output a location of a delay and an amount of time a vehicle is subjected to the delay during a movement of the vehicle between two locations, the delays being observed in the surveillance data as a knot of several data points. A first method is used to identify proposed knots based on distances between individual data points within the data. A second method is used to identify proposed knots based on the speed of the vehicle. Another method can be used to separate proposed knots have been incorrectly joined together. This method performs the separation by arranging the data points into a two-dimensional grid to form clusters of grid cells having data points. The location of the individual cells is then analyzed to determine whether clusters should be separated. Each of the remaining clusters defines a hold where the vehicle is delayed.

Abstract: A method and computer program using airport surveillance data to define common paths taken by vehicles on the airport surface is presented. Position data points for a group of vehicles create separate paths for each of the vehicles in the group. A matrix is created including areas measured between the path of each vehicle in the group and each of the remaining vehicles in the group. A column-wise average for each of the columns in the matrix is calculated, the column having a lowest mean average of all of the columns is determined, and a vector A(J) including the areas and vehicle identifications is created from that column. A difference vector ?A(J) is created having the difference between successive entries in the vector A(J), and subgroups with the group are recursively identified using the values in the difference vector.

Abstract: A method and computer program using airport surveillance data to define common paths taken by vehicles on the airport surface is presented. Position data points for a group of vehicles create separate paths for each of the vehicles in the group. A matrix is created including areas measured between the path of each vehicle in the group and each of the remaining vehicles in the group. A column-wise average for each of the columns in the matrix is calculated, the column having a lowest mean average of all of the columns is determined, and a vector A(J) including the areas and vehicle identifications is created from that column. A difference vector ?A(J) is created having the difference between successive entries in the vector A(J), and subgroups with the group are recursively identified using the values in the difference vector.

Abstract: A method using airport surveillance data to output a location of a delay and an amount of time a vehicle is subjected to the delay during a movement of the vehicle between two locations, the delays being observed in the surveillance data as a knot of several data points. A first method is used to identify proposed knots based on distances between individual data points within the data. A second method is used to identify proposed knots based on the speed of the vehicle. Another method can be used to separate proposed knots have been incorrectly joined together. This method performs the separation by arranging the data points into a two-dimensional grid to form clusters of grid cells having data points. The location of the individual cells is then analyzed to determine whether clusters should be separated. Each of the remaining clusters defines a hold where the vehicle is delayed.