A method for matching a vehicle with a user including receiving a user ride request for a vehicle from a plurality of available vehicles from a user, receiving a threshold vehicle risk score preference for the user, receiving a user risk score for the user, receiving a threshold user risk score preference for the plurality of available vehicles, identifying a subset of the plurality of available vehicles having a vehicle risk score at or below the threshold vehicle risk score preference of the user and a threshold user risk score preference at or above the user risk score of the user, and presenting the user with ride options for selecting one of the subset of the plurality of available vehicles of the subset of available vehicles for the user ride request.

Systems and methods in accordance with aspects of this disclosure may be provided to determine and calculate an overall driving risk index value corresponding to a driver and scene configuration. The overall driving risk index value may provide driving risk modeling and estimation at a personalized driving level. In some cases, the overall driving risk index value may be determined using a risk-predictive modeling system with weighting and machine learning and may include one or more of: a driver score system, a driver-contextual risk score system, and a conflict index system.

An information processing apparatus acquires a route score including a travel cost and a coefficient for each of a plurality of driving route candidates. The information processing apparatus acquires a user score including an individual rate that is a time-cost conversion rate particular to a mobile user and a weight application rate particular to the mobile user. Based on the respective route scores of the plurality of driving route candidates and the user score of the mobile user, the information processing apparatus converts the travel cost of each of the plurality of driving route candidates into a corresponding cost that is a cost obtained by reflection of the time-cost conversion rate and the weight application rate of the mobile user in the travel cost. The information processing apparatus determines a recommendation order of the plurality of driving route candidates based on the corresponding costs of the plurality of driving route candidates.

A method for activation or cancellation of presentation of navigation directions by a navigation system for a vehicle user operating a vehicle includes: —comparing a navigation route with a plurality of stored road stretches, wherein the stored road stretches are classified as known to the vehicle user, —activating presentation of navigation directions associated to the navigation route when travelling on a road stretch not included in the stored road stretches, or —cancelling presentation of navigation directions associated to the navigation route when travelling on a road stretch included in the stored road stretches.

This application involves a vehicle data processing method performed by a computer device. The method includes: obtaining current vehicle trajectory data and current vehicle status data of a target vehicle; determining a current travel scenario and a corrected vehicle speed of the target vehicle according to the current vehicle trajectory data and a historical vehicle trajectory data set of the target vehicle; determining a target matching mode of the current vehicle trajectory data and the current vehicle status data based on the corrected vehicle speed and vehicle speed reference information corresponding to the current travel scenario; obtaining target matching vehicle trajectory data corresponding to the current vehicle status data from the current vehicle trajectory data according to the target matching mode; and transmitting recommended information to the target vehicle based on the target matching vehicle trajectory data, the current vehicle status data, and the current travel scenario.

A destination recommending apparatus includes: a navigation device configured to collect driving pattern information of a user; and a controller configured to calculate a visit probability of a destination at a current location or the visit probability of the destination at a current time, based on the driving pattern information. The controller is configured to predict the destination based on the visit probability.

An apparatus, method and computer program product are provided for predicting wrong-way-driving events. A WWD event defines an event in which a vehicle travels in a direction opposing a traffic direction designated for a portion of a road. In one example, the apparatus estimates a likelihood of portion of the road inducing a wrong-way-driving (WWD) event by using a machine learning model as a function of map data, sensor data, or a combination thereof. If the likelihood satisfies a threshold, the apparatus updates a map layer to indicate the WWD event at the portion of the road.

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 and apparatus for recommending a route. The route recommending method includes obtaining user's current body information; obtaining geographic information from a current position to a destination; and determining a recommended route to the destination on the basis of the body information and the geographic information.

Navigation devices and methods of operation are provided. The navigation device includes a communication unit; a display; an input unit for receiving an input of data; a communication unit; and a controller for controlling operation of the display and the input unit. The controller connects to a data server through the communication unit, requests path setting information to the data server, receives the path setting information from the data server, acquires present position information of the navigation device, acquires a user moving path by reflecting the acquired position information and the received path setting information, and sets the user moving path as a guidance path. In this case, the path setting information is generated in another electronic device or the data server based on user input information input from the another electronic device.