Abstract: A system and a method include a scheduling control unit configured to determine one or more retiming options for one or more tail assignments of one or more aircraft scheduled for flights according to an original schedule. The one or more retiming options include one or more retiming times that differ from one or more original times of the one or more tail assignments within the original schedule. The scheduling control unit can select the one or more retiming options, and revise the original schedule based on the one or more retiming options as selected.

Abstract: The present disclosure relates to lane-level map matching for a vehicle. The method includes receiving vehicle data including a geographical position of the vehicle, a heading of the vehicle, and a speed of the vehicle and receiving sensor data from a perception system of the vehicle. The sensor data includes information about a position of at least one road reference in a surrounding environment of the vehicle. Operations include receiving map data including a lane geometry of the surrounding environment of the vehicle, the lane geometry including a set of candidate lanes. Operations include forming a state space model including a set of states. Each state of the set of states represents a candidate lane of the set of candidate lanes, and defining a cost for going from each state to every other state of the set of states based on the received vehicle data and the received sensor data.

Abstract: The present disclosure relates to lane-level map matching for a vehicle. The method includes receiving vehicle data including a geographical position of the vehicle, a heading of the vehicle, and a speed of the vehicle and receiving sensor data from a perception system of the vehicle. The sensor data includes information about a position of at least one road reference in a surrounding environment of the vehicle. Operations include receiving map data including a lane geometry of the surrounding environment of the vehicle, the lane geometry including a set of candidate lanes. Operations include forming a state space model including a set of states. Each state of the set of states represents a candidate lane of the set of candidate lanes, and defining a cost for going from each state to every other state of the set of states based on the received vehicle data and the received sensor data.