Abstract: An apparatus, method and computer program product are provided for determining a state of visibility of a road object, such as a road sign, using vehicle sensor data. For example, the apparatus determines whether one or more sensors of a first vehicle observes a road sign. If the road sign is not observed by the one or more sensors, the apparatus determines whether one or more second vehicles is obscuring the road sign. If the one or more second vehicles is not obscuring the road sign, the apparatus determines whether the road sign is obscured due to a weather condition. If the road sign is obscured due to the weather condition, the apparatus generates a signal indicating that the road sign was obscured due to the weather condition.

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 apparatus, method and computer program product provide a route using a map layer of one or more sound events. For example, the apparatus receives a user preference indicating a sound type, identifies a road segment associated with the sound type from a plurality of road segments, selects a subset from the plurality of road segments as a route based on association of the subset with respect to the road segment, and outputs the route.

Abstract: Embodiments described herein may provide a method for identifying hazard polygons in a geographic region from a plurality of sources and aggregating hazard polygons into a merged hazard polygon. Methods may include: receiving a first indication of a first hazard warning, where the first hazard warning includes a first hazard condition and a first hazard polygon in which the first hazard condition is estimated to be present; receiving a second indication of a second hazard warning, where the second hazard warning includes a second hazard condition and a second hazard polygon in which the second hazard condition is estimated to be present; generating, from the first hazard polygon and the second hazard polygon, a merged hazard polygon; and providing for at least one of navigational assistance or autonomous vehicle control based, at least in part, on the merged hazard polygon.

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: Dangerous driving events may be reported by detecting an occurrence of a dangerous event relating to the operation of a vehicle. A notification message of the dangerous event may be generated involving a time of occurrence of the dangerous event, a location of the dangerous event, and an event type of a plurality of event types for the dangerous event. The notification message may then be transmitted to communicate the occurrence dangerous driving event and information related to the dangerous driving event.

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: An approach is provided for generating delivery data models for aerial package delivery. The approach involves determining at least one delivery surface data object to represent one or more delivery surfaces of at least one delivery location, wherein the one or more delivery surfaces represents at least one surface upon which to deliver at least one package. The approach further involves causing, at least in part, a creation of at least one complete delivery data model based, at least in part, on the at least one delivery surface data object to represent the at least one delivery location. The approach further involves causing, at least in part, an encoding of at least one geographic address in the at least one complete delivery data model to cause, at least in part, an association of the at least one complete delivery data model with at least one geographic location.

Abstract: 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.

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: The disclosure provides a method, a system, and a computer program product in accordance with at least one example embodiment for detecting a roadblock zone. The method comprises receiving one or more road object observations, determining a map-matched link based on the received one or more road object observations, and calculating, at one or more locations associated with the map-matched link, heading difference data associated with a difference between a heading of each road object observation of the one or more road object observations and a heading of the map-matched link. The method further comprises identifying a set of locations from the one or more locations associated with the map-matched link where the heading difference data is more than a first predetermined threshold for each location in the set of locations and detecting the roadblock zone on the map-matched link based on the identified set of locations.

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: There is disclosed at least a method for receiving a road object observation associated with the road object for a first link. The first link is associated with at least one second link. A first heading data is determined for the received road object observation. A matched location is determined for the received road object observation on the at least one second link. A second heading data is determined for the received road object observation, based on the determined matched location. The road object is identified based on the determined first heading data and the determined second heading data, wherein as a result of identifying, the identified road object is either determined as associated with the first link or is determined to be not associated with the first link.

Abstract: A system, a method and a computer program product are provided for evaluating quality of data, such as sensor data and map data, using a machine learning model. The system may include at least one memory configured to store computer executable instructions and at least one processor configured to execute the computer executable instructions to obtain first sensor features of the first sensor data associated with a road object in a first geographic region, first map features of the first map data associated with the road object and ground truth data associated with the road object. The processor may be configured to generate the machine learning model by configuring the ground truth data and calculating first information scores for each of the first sensor features and the first map features by recursively splitting each of the first sensor features and the first map features.

Abstract: A method, apparatus and computer program product for determining a rain event warning are described herein. In the context of a method, an indication of the rain event warning for one or more locations may be received. The method may obtain, for a respective rain event warning, sensor data corresponding to a weather condition within a region that includes the location with which the respective rain event warning is associated. The method may evaluate the sensor data to determine whether the sensor data is indicative of the weather condition (e.g., rain). The method may determine a rain event warning confidence based at least in part on evaluation of the sensor data. The method may cause the rain event warning to be published in an instance in which the rain event warning confidence satisfies a confidence threshold.

Abstract: Systems and methods for generating a volatility index for drone activity are provided. For example, a method includes determining volatility data for drone activity in a plurality of areas. The method further includes generating a plurality of volatility indices to represent the volatility data. The method further includes determining a priority for each area of the plurality of areas based on the plurality of volatility indices. The method further includes updating map data based on the determined priority.

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: The disclosure provides a method, a system, and a computer program product for detecting a speed funnel in a region. The method comprises obtaining a plurality of traffic object observations for the region and determining at least one first learned traffic object, based on feature-based clustering of the plurality of traffic object observations. The method also includes generating at least one candidate traffic object group by grouping the at least one first learned traffic object and a second learned traffic object and performing validation of the at least one candidate traffic object group based on a statistical model. The method further includes generating at least one validated candidate traffic object group as a result of the validation of the at least one candidate traffic object group and merging the at least one validated candidate traffic object group with a second validated candidate traffic object group to detect the speed funnel.

Abstract: An apparatus, method and computer program product are provided for determining a state of visibility of a road object, such as a road sign, using vehicle sensor data. For example, the apparatus determines whether one or more sensors of a first vehicle observes a road sign. If the road sign is not observed by the one or more sensors, the apparatus determines whether one or more second vehicles is obscuring the road sign. If the one or more second vehicles is not obscuring the road sign, the apparatus determines whether the road sign is obscured due to a weather condition. If the road sign is obscured due to the weather condition, the apparatus generates a signal indicating that the road sign was obscured due to the weather condition.