Embodiments described herein may provide a method for identifying the location of a hazard, evaluating how long that hazard is likely to be present at the location, and providing an indication of the time to live of the hazard. Methods may include: receiving an indication of a hazard event, where the hazard event includes a timestamp and a location; map matching the location of the hazard event to a map-matched road segment; determining a time to live of the hazard event based, at least in part, on the timestamp and the map-matched road segment; providing an indication of the time to live of the hazard event as at least one of a database entry or a map user interface element; and providing for at least one of route guidance or navigational assistance based, at least in part, on the time to live of the hazard event.

The disclosed technology provides solutions for enriching map data with event information. In some aspects, the disclosed technology includes a process that includes steps for receiving a map query associated with the map for a user, aggregating one or more events that are associated with a respective location on a map, and processing the one or more events to generate one or more event clusters based on the map query. In some aspects, the process can further include steps for providing at least one of the one or more event clusters to the user. Systems and machine-readable media are also provided.

Systems and methods are disclosed for generating a display of a navigation map. The system may comprise a historical data source device having, for example, a historical data source computer and a database storing historical data associated with one or more of vehicle accident data, traffic data, vehicle volume data, vehicle density data, road characteristic data, or weather data. The system may comprise a map data processing device having a map data processing computer and memory storing computer-executable instructions that, when executed by the map data processing computer, cause the map data processing device to, for example, determine, based on a location determining device, a location of a vehicle. The map data processing system may determine one or more historical factors based on the location of the vehicle. The map data processing system may receive, from the historical data source device and for the location, historical data associated with the one or more historical factors. Based on the location of the vehicle, one or more real time factors and real time data associated with the one or more real time factors may be calculated. The map data processing system may calculate, using the one or more historical factors and the one or more real time factors, a navigation score for each segment of a route from the location to a destination location. The map data processing system may determine one or more colors for each navigation score and/or generate a display of a navigation map comprising the one or more colors.

A method includes, by a processor, acquiring number of persons information that indicates a number of users, including users who ride in vehicles, who depart from a facility at each of a predetermined time period, weather information for each predetermined time period, and vehicle information relating to vehicles traveling in a periphery of the facility, determining traffic jam status that indicates absence/presence of a traffic jam on a road located in a vicinity of the facility in the predetermined time period, by using the vehicle information; and generating a learned model for predicting a traffic jam of a road by machine learning using, as teaching data, the number of persons information, the weather information, and the traffic jam status that is associated with the number of persons information and the weather information.

A method of determining whether one or more navigable elements of a navigable network within a geographic area are still affected by a precipitation weather event. A quantity parameter is associated with each segment of an electronic map representing the navigable network and indicates the amount of precipitation remaining on the navigable element or portion thereof represented by the segment. The value of the quantity parameter increases in the presence of any precipitation weather event, and decreases ac cording to a predefined function with respect to time in the absence of any such precipitation weather event. A speed of travel of one or more devices along the navigable element or portion thereof represented by a segment is determined and compared to an expected speed of travel for the segment; the value of the quantity parameter being decreased based on the comparison. The value of quantity parameter can be used to generate weather events and/or attribute the cause of a congestion event as being the precipitation weather event.

A method for a wireless communication from a first transportation vehicle to a road infrastructure station including determining the position of the first transportation vehicle, determining the distance of the transportation vehicle to the road infrastructure station, calculating a table containing predicted positions in space and/or time for the first transportation vehicle indicating the respective planned transmission characteristics for the future signal transmissions from the first transportation vehicle to the road infrastructure station at the predicted positions, transmitting the table to the surrounding transportation vehicle or to a network management station, evaluating the table in the surrounding transportation vehicle or the network management station, and adjusting the transmissions from the surrounding mobile station so that interference between the planned signal transmissions of the first transportation vehicle and the surrounding mobile station is reduced.

The vehicle navigation device guides a user of a vehicle to a destination. The vehicle navigation device includes a car navigation system that acquires the destination, a head-up display that displays various information, and a body ECU that controls the information displayed on the head-up display based on the destination acquired by the car navigation system. The body ECU is configured to cause, on the assumption that the user alights from the vehicle at a current location, the head-up display to display post-alighting guidance information which is information for guiding the user to the destination regarding, for example, walking.

According to an aspect of the present disclosure, an interaction system for a first vehicle is provided, which comprises a processor and a memory storing processor-executable instructions that, when executed by the processor, cause the latter to implement steps comprising: receiving a first input from the first vehicle and displaying a first avatar on a display; and receiving a second input from a second vehicle and displaying a second avatar on the display, wherein the first input and the second input are updated in real time, and the first avatar and the second avatar dynamically change accordingly.

A route from a current location of a portable device to a destination is determined, where the route includes a sequence of directed sections. Navigation instructions to guide a user of the portable device along the route to the destination are generated. To this end, candidate navigation landmarks perceptible within a 360-degree range of the current location of the portable device are identified, a navigation landmark disposed in a direction substantially opposite to the direction of the first one in the sequence of directed sections is selected from among the candidate navigation landmarks, and an initial instruction in the navigation instructions is generated and provided via a user interface of the portable device. The initial instruction references the selected navigation landmark.

The present disclosure is directed to dynamically analyzing data and conditions associated with the movement of a vehicle. A processor may evaluate vehicle location and speed information when identifying an amount of navigation data to send to a computer at a vehicle. The amount of information sent to the computer may vary based on the vehicle speed, a type of road that the vehicle is able to drive along, or may vary based on other attributes. The information sent to the computer may also relate to an area that the vehicle is anticipated to move through in a given time frame. Mapping data sent to the vehicle computer may be associated with a larger area when a vehicle is moving at a faster speed and may be associated with a smaller area when the vehicle is moving at a slower speed.