A computer-implemented method of generating and broadcasting telematics and/or image data is provided. Telematics and/or image data may be collected, with customer permission, in real-time by a mobile device (or a Telematics App running thereon) traveling within an originating vehicle. The telematics data may include acceleration, braking, speed, heading, and location data associated with the originating vehicle. The mobile device may generate an updated telematics data broadcast including up-to-date telematics data at least every few seconds; and then broadcast the updated telematics data broadcast at least every few seconds via wireless communication to another computing device to facilitate alerting another vehicle or driver of an abnormal traffic condition or event that the originating vehicle is experiencing. An amount that an insured uses or otherwise employs the telematics data-based risk mitigation or prevention functionality may be used with usage-based insurance, or to calculate or adjust insurance premiums or discounts.

A vehicle control device includes an external situation recognition unit configured to recognize a crossing person who crosses over a path of a vehicle and acquire information on the crossing person and information on an environment where the crossing person crosses, a scheduled departure time deciding unit configured to decide a scheduled departure time of the vehicle based on the information on the crossing person and the environment where the crossing person crosses when the crossing person is recognized by the external situation recognition unit, and an informing controller configured to perform a control to inform an outside of the vehicle of the scheduled departure time. The scheduled departure time deciding unit predicts a crossing completion time at which the crossing person recognized by the external situation recognition unit completes the crossing and decides the scheduled departure time based on the crossing completion time.

A device and a method for predicting traffic information are provided to improve a traffic information prediction accuracy. The device includes a storage that stores a plurality of probe data generation models based on characteristic of a road and a communication device that receives probe data from a probe vehicle traveling on a target road. A controller detects a probe data generation model corresponding to a characteristic of the target road among the plurality of probe data generation models, generates a preset number of probe data based on the detected probe data generation model, and predicts traffic information of the target road based on the generated probe data and the received probe data.

Methods, apparatus, computer program products Geohash-based traffic management are provided. The method comprises receiving, by one or more processing units, respective operating status data of one or more vehicles travelling within a Geohash cell; generating, by one or more processing units, one or more service messages based on the received respective operating status data according to one or more service specifications; and providing, by one or more processing units, at least one of the one or more service messages responsive to a request from a vehicle travelling within the Geohash cell.

Methods, misbehavior management systems, non-transitory processor-readable media of various embodiments provide for managing the generation, storage, and transmission of misbehavior reports from vehicle-to-everything (V2X) onboard equipment to an associated entity, such as a misbehavior managing authority. Various embodiments may include detecting a misbehavior condition has occurred and determining whether to generate a misbehavior report based on an aggregated criticality value. The misbehavior management system may then determine whether to store the generated misbehavior report. The misbehavior management system may also determine whether to transmit the generated misbehavior report to a misbehavior managing authority. In some embodiments, the misbehavior management system may determine which stored misbehavior reports may be deleted from storage.

A method comprises receiving driving data from a plurality of connected vehicles approaching an intersection, the driving data comprising a speed and position of a connected vehicle, determining estimated times of arrival that each of the connected vehicles will arrive at the intersection based on the driving data, scheduling the connected vehicles to cross the intersection in a particular order based on the estimated times of arrival, and transmitting the scheduled order to the connected vehicles.

Various embodiments include methods and systems for managing vehicle behavior. In some embodiments, a vehicle processor of the first vehicle may receive dynamic traffic flow feature information relevant to movements of a second vehicle within a predetermined proximity to the host vehicle, determine probabilities of a plurality of potential behaviors of the second vehicle based on the received dynamic traffic flow feature information, predict a future path of the second vehicle, and use the predicted future path of the second vehicle in a vehicle control function. In some embodiments, the vehicle processor of the first vehicle may predict a behavior of a third vehicle based on received intention information about the second vehicle, and may adjust a behavior of the first vehicle based on the predicted behavior of the third vehicle.

A method may include a processing system having at least one processor obtaining a first plurality of domain name system traffic records, generating an input aggregate vector from the first plurality of domain name system traffic records, where the input aggregate vector comprises a plurality of features derived from the first plurality of domain name system traffic records, and applying an encoder-decoder neural network to the input aggregate vector to generate a reconstructed vector, where the encoder-decoder neural network is trained with a plurality of aggregate vectors generated from a second plurality of domain name system traffic records. In one example, the processing system may then calculate a distance between the input aggregate vector and the reconstructed vector, and apply at least one remedial action associated with the first plurality of domain name system traffic records when the distance is greater than a threshold distance.

A map information system includes a database management device configured to manage a map database used for vehicle driving support control. The map database includes background map information that indicates a position of a stationary object and an evaluation value. The evaluation value indicates certainty that the stationary object exists at the position indicated by the background map information. Driving environment information includes: surrounding situation information including information on a detected target detected by an in-vehicle sensor; and vehicle state information indicating the vehicle state. The database management device recognizes relative behavior of the vehicle with respect to the detected target, based on the driving environment information. The database management device determines, based on the relative behavior, whether or not the detected target is the stationary object to set the evaluation value of the background map information regarding a detected position of the detected target.

A mobile telecommunications device for providing an in-vehicle driver warning system during a vehicle journey using sensed driving information and local traffic information is described. The mobile telecommunications device comprises: a sensor set comprising at least one of an image sensor, an audio sensor, a geographic positioning sensor and an accelerometer; a user interface for receiving user input; a processor operatively connected to the sensor set and the user interface; a wireless communications module for communicating with a remote server, the wireless communications module being operatively connected to the processor; the processor, through its connection to the user interface, determining, during the vehicle journey, using the inputs received by the user interface, or through its connection to the sensor set, using sensor data received from the sensor set, a start of a driving period during which the mobile device is removably installed to the vehicle and the vehicle is in use; the processor, through its connection to the sensor set, using the sensor data received from the sensor set during the driving period to derive, in use, the sensed driving information associated with how the vehicle is driven; the processor, through its connection to the wireless communications module, receiving the local traffic information obtained from the wireless communications module, the local traffic information concerning other vehicles in the vicinity of the mobile telecommunications device; the processor using, in use, the local traffic information and the driving information and determining if the current relative position and speed of the vehicle exceeds a threshold profile; and wherein the processor generates, in use, a warning signal if the current relative position and speed of the vehicle exceed the threshold profile, and, through its connection to the user interface, transmits the warning signal to the user interface for warning the driver of the vehicle.