A voice output unit is mounted on a vehicle. A determiner determines whether or not voice information generated in connection with traveling of the vehicle and output from the voice output unit is information for which an output point of the voice information is specified. A musical piece interval detector detects a time point at which there arrives an interval between musical pieces being reproduced, which are output from the voice output unit. An output controller changes an output time to the arrival time of the interval between musical pieces when the output time, which is specified for the voice information determined by the determiner as not being information for which the output point is specified, arrives at a time point other than the interval between musical pieces.

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 computer-implemented method for time-based multiple automobile travel coordination. Aspects include creating a travel coordination group having at least two participants and obtaining a current position and a destination location for each of the at least two participants. Aspects also include determining an estimated travel time for each of the at least two participants based at least in part on the current position and the destination location for each of the at least two participants. Aspects further include coordinating travel plans for each of the at least two participants based at least in part on the estimated travel time of each of the at least two participants, wherein the coordination includes determining a departure time for each of the at least two participants such that each of the at least two participants will arrive at the destination location within a threshold amount of time from one another.

In some embodiments, an electronic device displays indications of safety characteristics of one or more navigational segments of a navigation route. In some embodiments, an electronic device displays navigation options. In some embodiments, an electronic device presents indications of navigation directions while navigation along a route.

A terminal in a self-position sharing system that is installed in a vehicle and is capable of communicating with the vehicle includes a measurement device that measures a self-position of the terminal. Further, the vehicle in the self-position sharing system includes: a processor configured to estimate a self-position of the vehicle with measurement accuracy higher than that of the terminal at a predetermined period, determine whether or not measurement accuracy of a self-position by the terminal decreases, set a notification frequency of notifying the terminal of an estimated self-position of the vehicle to a first frequency when the measurement accuracy does not decrease, set the notification frequency to a second frequency higher than the first frequency when the measurement accuracy decreases; and notify the terminal of an estimated self-position of the vehicle with the set notification frequency.

A dataset descriptive of multiple locations and one or more maneuvers attempted by vehicles at these locations is received. A machine-learning model is trained using this dataset, so that the machine-learning model is configured to generate metrics of difficulty for the set of maneuvers. A query data including indications of a location and a maneuver to be executed by a vehicle at the location is received. The query data is applied to the machine-learning model to generate a metric of difficulty for the maneuver, and a navigation instruction for the maneuver is provided via a user interface, such that at least one parameter of the navigation instruction is selected based on the generated metric of difficulty.

In some embodiments, an electronic device displays indications of safety characteristics of one or more navigational segments of a navigation route. In some embodiments, an electronic device displays navigation options. In some embodiments, an electronic device presents indications of navigation directions while navigation along a route.

An autonomous driving apparatus is mounted on a vehicle. The autonomous driving apparatus includes a controller configured to detect that an output timing of route guidance information from a navigation apparatus mounted on the vehicle matches an output timing of route guidance information from the autonomous driving apparatus, acquire an output setting for the route guidance information output from the navigation apparatus, and decide an output setting for the route guidance information output from the autonomous driving apparatus based on the acquired output setting information and the detection.

Sensor data captured by one or more sensors coupled to a first entity are received by an apparatus. The sensor data comprises a location of the first entity or representation of surroundings of the first entity. Based at least in part on the sensor data, a second entity is identified. Based at least in part on trajectories along which the first and second entities are respectively traveling, it is expected that the second entity will enter a zone defined around the first entity. Based at least in part on the sensor data, an amount of time until the second entity will enter the zone is determined. The amount of time until the second entity will enter the zone is provided as (a) input to a navigation function and/or (b) to be displayed as a countdown via a display element and/or speaker element of the first entity.

A plurality of road-to-traveler feedback (“RTF”) devices integrated with a plurality of electronic computing devices transmits location data to a server. The server transmits to the RTF devices traffic signal timing data based on the location data. RTF devices present suggested velocities based on the traffic signal timing data, such that if a traveler conformed to the suggested velocities and other travel-related data, the traveler would position himself into a geographic region on a roadway in which the traveler is ensured to avoid red lights and other traffic impediments. The server is operatively connected to traffic controllers and receives traffic light state data. The server facilitates a plurality of geographic regions based at least on the traffic light state data and detected travelers on roadways, wherein each of the geographic regions are synchronized to allow continuous traffic flow for the travelers positioned therein.