Method for operating a vehicle-mounted acoustic signal-generating device (8), which is configured to generate an acoustic compensation signal (2) for compensating acoustic interference signals (3), which result from a stream of vehicles (5) coming towards a vehicle (4) in question, comprising the steps: —detection of a stream of vehicles (5) coming towards a vehicle (4) in question, and generation of detection information describing at least one parameter of the stream of vehicles, —determination of an acoustic interference signal (3) resulting from the stream of vehicles (5) coming towards the vehicle (4) in question on the basis of the detection information, —generation of an acoustic compensation signal (2) for compensating the acoustic interference signal (3) resulting from the stream of vehicles (5) coming towards the vehicle (4) in question.

This application discloses a vehicle driving exit prediction method includes: obtaining a first location of the target vehicle at the target intersection and a driving direction of the target vehicle; obtaining N reference points respectively associated with N driving exits of the target intersection, where N is a positive integer; obtaining, based on the first location, the driving direction of the target vehicle, and the N reference points, likelihoods corresponding to the N driving exits respectively, where the likelihood indicates a probability that the target vehicle travels out of the target intersection from a corresponding driving exit; and obtaining a driving exit with a largest likelihood in the N driving exits as the driving exit of the target vehicle.

This application discloses a vehicle driving exit prediction method includes: obtaining a first location of the target vehicle at the target intersection and a driving direction of the target vehicle; obtaining N reference points respectively associated with N driving exits of the target intersection, where N is a positive integer; obtaining, based on the first location, the driving direction of the target vehicle, and the N reference points, likelihoods corresponding to the N driving exits respectively, where the likelihood indicates a probability that the target vehicle travels out of the target intersection from a corresponding driving exit; and obtaining a driving exit with a largest likelihood in the N driving exits as the driving exit of the target vehicle.

Systems and methods for detecting or predicting potential collisions between vehicles are provided. The systems and methods may receive sensor output indicative of a location, a heading, and/or a moving speed of a first vehicle and/or a second vehicle. The systems and methods may predict a collision between the vehicles at an intersection between routes based on the received sensor output. The systems and methods may change movement of the first vehicle and/or the second vehicle responsive to predicting the collision.

Systems and methods for detecting or predicting potential collisions between vehicles are provided. The systems and methods may receive sensor output indicative of a location, a heading, and/or a moving speed of a first vehicle and/or a second vehicle. The systems and methods may predict a collision between the vehicles at an intersection between routes based on the received sensor output. The systems and methods may change movement of the first vehicle and/or the second vehicle responsive to predicting the collision.

An example operation includes one or more of initially determining, via one or more sensors on a transport, that the transport is approaching a one-way road in a wrong direction based on a slowing down of the transport and a movement of the transport toward the one-way road, notifying, via the one or more sensors, one or more occupants of the transport about the approaching, and in response to the transport continuing to approach in the wrong direction, slowing the transport, by a computer associated with the transport, to not permit entry into the one-way road.

An example operation includes one or more of initially determining, via one or more sensors on a transport, that the transport is approaching a one-way road in a wrong direction based on a slowing down of the transport and a movement of the transport toward the one-way road, notifying, via the one or more sensors, one or more occupants of the transport about the approaching, and in response to the transport continuing to approach in the wrong direction, slowing the transport, by a computer associated with the transport, to not permit entry into the one-way road.

Embodiments described herein relate to anonymizing of trajectories of mobile devices through the obfuscation of stay points. Methods may include: receiving probe data points of a trajectory in real-time or near real-time from a probe apparatus as it travels along the trajectory; calculating, for each probe data point, a probability of the trajectory reaching a stay point within a predetermined distance; providing sequential sub-sets of probe data points of the trajectory to a location-based service provider in response to the sequential sub-sets of probe data points including probe data points having a probability failing to satisfy a predetermined value; and identifying a last sub-set of probe data points of the sequential sub-sets of probe data points to provide to the location-based service provider in response to identifying a probe data point having a probability of the trajectory reaching a stay point within the predetermined distance satisfying the predetermined value.

A parking management system identifies vehicles in entrance lanes, exit lanes, or both, of a parking facility and provides a real-time vehicle inventory count. One or more beacons locate point of sale (POS) devices assigned to parking attendants to determine which of them are performing vehicle transactions. Vehicles can be associated with specific transactions, as well as the transaction-authorizing attendant and the barrier gate and vehicle travel lane to which the attendant is assigned. To reduce fraud, this transaction information can be monitored in real time by a web or mobile dashboard and analyzed in real time or upon attendant end-of-shift checkout. The parking management system also implements permit parking invitation techniques that provide registration, payment in advance or on demand, or both, for parking of an invitee's vehicle. These tasks are accomplished without an inviter's knowledge about the invitee, the invitee's vehicle, or both.

A parking management system identifies vehicles in entrance lanes, exit lanes, or both, of a parking facility and provides a real-time vehicle inventory count. One or more beacons locate point of sale (POS) devices assigned to parking attendants to determine which of them are performing vehicle transactions. Vehicles can be associated with specific transactions, as well as the transaction-authorizing attendant and the barrier gate and vehicle travel lane to which the attendant is assigned. To reduce fraud, this transaction information can be monitored in real time by a web or mobile dashboard and analyzed in real time or upon attendant end-of-shift checkout. The parking management system also implements permit parking invitation techniques that provide registration, payment in advance or on demand, or both, for parking of an invitee's vehicle. These tasks are accomplished without an inviter's knowledge about the invitee, the invitee's vehicle, or both.