Tracking devices can be associated with safe zones, smart zones, and high risk zones. Safe zones correspond to regions where a likelihood that a tracking device is lost within the safe zone is lower than outside the safe zone. High risk zones correspond to regions where a likelihood that a tracking device is lost within the high risk zone is higher than outside the high risk zone. Smart zones correspond to an expected tracking device, mobile device, or user behavior. Home areas are geographic regions in which a user resides, and travel areas are geographic regions in which a user does not reside. A tracking device can be configured to operate in a mode selected based on a presence of the tracking device within a safe zone, a smart zone, a high risk zone, a home area, or a travel area.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for customizing a user experience for users of a transportation matching system. In particular, in one or more embodiments, the disclosed systems can detect a mobile application session on a requester device, determine information related to a location of a requester device, and then utilize one or more modifications to modify a user interface experience for the mobile application session on the requester device.

Novel techniques are described for usage tracking for shared dockless personal transport vehicles (PTVs) over one or more communications networks. Features encourage desired interactions between consumers and PTVs, such as by encouraging consumers to park the PTVs in a desirable condition and in desirable locations. For example, embodiments obtain location data from at least one sensor (e.g., a camera of a smart phone) indicating a parked location of a PTV of a fleet of shared PTVs. A set of parked location attributes is computed in accordance with the obtained location data, and an arbitration determination is computed indicating whether the set of parked location attributes meets a stored set of acceptance criteria. In accordance with a favorable computed arbitration determination, embodiments can output lock control data for a vehicle lock of the PTV (e.g., to lock the PTV in its parked location).

Various embodiments of the present disclosure provide method and apparatus for aircraft traffic management. The method performed by an aircraft traffic management device comprises determining at least one cell shaping parameter based on cell information and a flight route of an aircraft. The method further comprises sending a request for creating at least one cell shaping beam for covering at least a part of the flight route of the aircraft to an operations support system, OSS, wherein the request includes the at least one cell shaping parameter.

Various embodiments of the present disclosure provide method and apparatus for aircraft traffic management. The method performed by an aircraft traffic management device comprises determining at least one cell shaping parameter based on cell information and a flight route of an aircraft. The method further comprises sending a request for creating at least one cell shaping beam for covering at least a part of the flight route of the aircraft to an operations support system, OSS, wherein the request includes the at least one cell shaping parameter.

Disclosed are methods and systems for identifying and addressing passenger issues in an aircraft. For instance, the method may include receiving sensor data corresponding to one or more sensors associated with a passenger compartment of the aircraft, analyzing the received sensor data to determine a condition of the passenger compartment of the aircraft, identifying one or more passenger issues occurring in the aircraft, and determining one or more response options to address the one or more passenger issues, based at least in part on the one or more passenger issues and an operational parameter of the aircraft. The method may further include communicating, the one or more passenger issues and the one or more response options to a passenger user interface or a ground control station and modifying an operation of the aircraft in accordance with one or more of the one or more response options.

Disclosed are methods and systems for identifying and addressing passenger issues in an aircraft. For instance, the method may include receiving sensor data corresponding to one or more sensors associated with a passenger compartment of the aircraft, analyzing the received sensor data to determine a condition of the passenger compartment of the aircraft, identifying one or more passenger issues occurring in the aircraft, and determining one or more response options to address the one or more passenger issues, based at least in part on the one or more passenger issues and an operational parameter of the aircraft. The method may further include communicating, the one or more passenger issues and the one or more response options to a passenger user interface or a ground control station and modifying an operation of the aircraft in accordance with one or more of the one or more response options.

Autonomous vehicles may be dynamically directed to rendezvous with autonomous vehicle trains or convoys. Current location and/or route information of the Autonomous Vehicle Train (AVT) may be received by an autonomous vehicle. The autonomous vehicle may compare its current location and/or route information to determine a rendezvous point with the AVT. The autonomous vehicle may route itself to the rendezvous point with the AVT. Once there, the autonomous vehicle may verify the identification of the AVT, such as by using sensors/cameras to verify a lead vehicle of the AVT (e.g., by verifying make/model, color, and/or license plate). The autonomous vehicle and lead vehicle may communicate to allow the autonomous vehicle to join the AVT. A minimum level of autonomous vehicle functionality may be verified prior to the autonomous vehicle being allowed to join the AVT. As a result, vehicle traffic flow and travel experience by passengers may be enhanced.

Autonomous vehicles may be dynamically directed to rendezvous with autonomous vehicle trains or convoys. Current location and/or route information of the Autonomous Vehicle Train (AVT) may be received by an autonomous vehicle. The autonomous vehicle may compare its current location and/or route information to determine a rendezvous point with the AVT. The autonomous vehicle may route itself to the rendezvous point with the AVT. Once there, the autonomous vehicle may verify the identification of the AVT, such as by using sensors/cameras to verify a lead vehicle of the AVT (e.g., by verifying make/model, color, and/or license plate). The autonomous vehicle and lead vehicle may communicate to allow the autonomous vehicle to join the AVT. A minimum level of autonomous vehicle functionality may be verified prior to the autonomous vehicle being allowed to join the AVT. As a result, vehicle traffic flow and travel experience by passengers may be enhanced.

A user device and transportation entity, such as a transport vehicle or transport server, perform information exchanges for a transportation service using Device-to-Device (D2D) communications, such as dedicated short-range communication (DSRC), a cellular Vehicle-to-Everything (C-V2X), or a 5G New Radio (NR). The information exchanges, for example, are related to, e.g., logistics and delivery of transportation services. For example, the user device may transmit a transportation request message that includes information elements, such as an identifier, a type of transport device requested, a number of users, requested destination, etc. The transportation entity may transmit a transportation response message accepting or rejecting the request. Additional messages, such as a status request and status of the transportation, as well as messages related to completing the transportation service may be exchanged.