Abstract: An apparatus, method and computer program product are provided for providing audio-based navigation. In one example, the apparatus determines reliability of a navigation technique for a vehicle. If the navigation technique is unreliable, the apparatus causes the vehicle to rely on audio-based navigation to traverse a route. The audio-based navigation provides one or more navigational instructions based on a sound signature associated with a location.

Abstract: Systems and methods for determining an electric vehicle score are provided. For example, a method for determining an electric vehicle score includes receiving mobility pattern data corresponding to an individual. The method also includes analyzing one or more characteristics associated with an area based on the mobility pattern data. The method also includes determining an electric vehicle score corresponding to the individual based on the analysis of the one or more characteristics associated with the area.

Abstract: A method, apparatus and computer program product are provided for managing autonomous vehicles. In this regard, vehicle context data associated with an indication of a change in an autonomous level for a vehicle traveling along a road segment is determined. Furthermore, the vehicle is assigned to a queue of vehicles traveling along the road segment in response to a determination that the vehicle context data corresponds to particular vehicle context data associated with the queue of vehicles. An indication of the queue of vehicles may also be provided to the vehicle to facilitate navigation of the vehicle.

Abstract: An apparatus, method and computer program product are provided for predicting road locations that are likely to induce tire pressure changes. In one example, the apparatus receives historical data of an event in which a first vehicle is impacted by a first tire pressure change at a first road segment. The historical data indicates point-of-interest (POI) information associated with the first road segment. The apparatus trains a prediction model using the historical data. The prediction model is configured to determine a likelihood in which a second road segment induces a second tire pressure change for a second vehicle based on POI information associated with the second road segment.

Abstract: Systems and methods for determining an attention level of an occupant of a vehicle are provided. For example, a method for determining an attention level of an occupant of a vehicle includes receiving sensor data associated with an occupant of a vehicle traveling along a road segment. The method also includes based on the sensor data, determining an attention level of the occupant corresponding to the road segment. The method also includes encoding the attention level in a database to facilitate one or more aspects of vehicle operation for vehicles travelling along the road segment.

Abstract: An apparatus, method and computer program product are provided for providing cloud-based verification of edge-based detection. In one example, the apparatus generates a result of sensor data, wherein the sensor data is acquired by a sensor of an edge-based device, and wherein the result is processed by the edge-based device. The result indicates: (i) a confidence at which the sensor data is classified as a category; (ii) a degree at which the sensor data differ from a data point of map data, the data point associated with a location in which the sensor data was acquired; or (iii) a combination thereof. The apparatus causes a cloud-based device to process the sensor data in response to: (i) the confidence indicating uncertainty; (ii) the degree exceeding a threshold; or (iii) a combination thereof.

Abstract: An apparatus, method and computer program product are provided for providing a map layer of light-based attributes. In one example, the apparatus receives sensor data associated with a road segment and generates a data point for the map layer based on the sensor data. The data point indicates one or more light-based attributes of the road segment. The apparatus stores the data point in a database associated with the map layer. The map layer comprises the data point and one or more other data points that indicate the light-based attributes of one or more other road segments.

Abstract: System and methods are provided for predicting, reacting to, and avoiding loss of traction events, such as hydroplaning for autonomous vehicles. For example, the method predicts a risk of an area being subject to hydroplaning using real-time data and/or historical data. The method may store possible hydroplaning events in a geographic map along with a risk assessment. The method provides lane level hydroplaning risk predictions and avoidance mechanisms.

Abstract: Systems and methods for evaluating vehicle occupant behavior are provided. For example, a method of evaluating vehicle occupant behavior includes analyzing behavior of an occupant of a vehicle associated with a trip in the vehicle. The method also includes determining one or more aspects of the trip in the vehicle. The method also includes determining a score of the behavior of the occupant of the vehicle based on the analysis and the one or more aspects.

Abstract: Systems and methods for traffic control and route guidance are provided. In some aspects, a method for controlling traffic includes receiving vehicle information for a vehicle navigating a location on a road network and identifying a maneuver of the vehicle at the location based on the vehicle information. The method also includes determining an intrusiveness of the maneuver made by the vehicle, and controlling traffic at the location based on the intrusiveness of the vehicle.

Abstract: Systems and methods for evaluating a review of a passenger trip are provided. For example, a method of evaluating a review of a passenger trip includes analyzing a review of a passenger trip in a vehicle. The method also includes receiving sensor data that corresponds to the passenger trip. The method also includes determining a score of the review based on the received sensor data and the analysis of the review.

Abstract: An approach is provided for accessing traffic impact caused by individual driving behaviors. For example, the approach involves receiving, by one or more processors, sensor data collected from one or more sensors of a vehicle traveling on a road network. The approach also involves processing, by the processors, the sensor data to determine one or more driving behaviors associated with the vehicle. The approach further involves computing, by the processors, a traffic impact index based on the one or more driving behaviors and at least one contextual parameter associated with the vehicle, the road network, a driver of the vehicle, or a combination thereof. The traffic impact index represents an estimated impact of the vehicle on a traffic flow within at least a portion of the road network. The approach further involves providing, by the processors, the traffic impact index as an output.

Abstract: Systems and methods for generating location-based information are provided. For example, an apparatus for generating location-based information includes a processor and a memory. The memory includes computer program code. The computer program code is configured to cause the processor of the apparatus to determine review information based on a user review. The computer program code is further configured to cause the processor of the apparatus to determine a location associated with the review information. The computer program code is further configured to cause the processor of the apparatus to analyze traffic data based on the location. The computer program code is further configured to cause the processor of the apparatus to, based on the analysis, provide data for modifying the user review.

Abstract: Systems and methods for messaging using contextual information are provided. For example, an apparatus for messaging using contextual information includes a processor and a memory. The memory includes computer program code. The computer program code is configured to cause the processor of the apparatus to determine a temporal element from user-submitted text. The computer program code is further configured to cause the processor of the apparatus to analyze traffic data or route data, or a combination thereof, based on the temporal element. The computer program code is further configured to cause the processor of the apparatus to provide for a display of a modification to the user-submitted text based on the analysis. The modification corresponds to the temporal element.

Abstract: Systems and methods for the detection and analysis of road markings and other road objects are described. A method for detection of road markings comprises identifying image data including lane markings associated with a road segment, defining a plurality of subsections for the road segment, identifying boundary recognition observations for the lane markings from the image data corresponding to the at least one of the plurality of subsections for the road segments, calculating one or more clusters for the boundary recognition observations according to color or intensity, and outputting a lane marking indicator indicating the color or the intensity, for the at least one of the plurality of subsections for the road segments, in response to the one or more clusters.

Abstract: An apparatus, method and computer program product are provided for determining a state of visibility for a road object. In one example, the apparatus receives temporal data, calculates an orientation of a light source with respect to a road object using the temporal data, and predicts a state of visibility for the road object based on the orientation of the light source. In another example, the apparatus determines an artificial light source associated with a road object, receives attribute data associated with the artificial light source, determines a state of the artificial light source using the attribute data, and predicts a state of visibility for the road object based on the state of the artificial light source.

Abstract: Systems and methods for selecting a navigation map for utilization in a region are provided. For example, a method includes determining, for one or more areas, a plurality of scores corresponding respectively to a plurality of digital maps. The method further includes selecting a digital map of the plurality of digital maps based on a value of a score of the plurality of scores. The method further includes providing the selected digital map to a device to utilize one or more navigation functions in a location within the one or more areas.

Abstract: Systems and methods for mix mode driving including the selection of driving operations, generation of recommendations for the assignment of the driving operations, and application of the assignment of driving operations to specific operators based on a number of factors.

Abstract: 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.

Abstract: An approach is provided for requesting a map update based on an accident and/or damaged/malfunctioning sensors to allow a vehicle to continue driving. The approach involves determining, by one or more processors, a status of one or more sensors, one or more systems, or a combination thereof of a vehicle. The approach also involves transmitting, by the one or more processors, a request for a map update based on the status of the one or more sensors, the one or more systems, or a combination thereof of the vehicle. The approach further involves receiving, by the one or more processors, the map update in response to the request. The approach further involves configuring, by the one or more processors, at least one system of the vehicle to operate using the map update.