Abstract: Embodiments described herein may provide a method for aggregating probe data to detect a road work event and generating, from the road work event, a work zone map overlay to inform navigational systems and autonomous vehicles. Methods may include: receiving probe data from a plurality of probe apparatuses traveling within a road network; identifying, from the probe data, a road work event within the road network; determining, from the road work event and the probe data, a work zone; generating a map overlay including the work zone, where the map overlay is independent from map data of the road network; providing the map overlay to at least one vehicle for use in combination with the map data of the road network; and providing for at least one of navigational assistance or at least semi-autonomous vehicle control based on the map overlay of the map data of the road network.

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: Embodiments described herein may provide a method for using vehicle sensor data to identify where road work exists within a road network. Methods may include: receiving probe data and sensor data from a plurality of probe apparatuses traveling along a sequence of road segments; identifying, from the sensor data, one or more indicators of a beginning of a road work area; identifying, from the sensor data, binary indicators of the presence of road work or a lack of presence of road work along the sequence of road segments; and determining, based on the one or more indicators of a beginning of a road work area and the binary indicators of the presence of road work or the lack of road work along the sequence of road segments, a probability of road work occurring along one or more road segments of the sequence of road segments.

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: Embodiments described herein may provide a method for using map data to alter criteria for the identification of road work in locations where false positives are more likely. Methods may include: receiving probe data from a plurality of probe apparatuses traveling within a road network; determining, from the probe data captured at a first location, an indication of road work; determining a type of map area of the first location; applying a suppression method to the probe data captured at the first location in response to the type of map area of the first location corresponding to an area having a relatively high false positive rate of indications of road work; and determining, based on the suppression method to the probe data captured at the first location, the presence or absence of road work occurring at the first location.

Abstract: Systems and methods for determining an optimal placement of a package at a location are provided. For example, a method for determining an optimal placement of a package at a location includes determining a first area for placement of a package at a location based on historical delivery data. The method also includes determining a second area for placement of the package at the location based on map data. The method also includes determining an optimal area for placement of the package at the location based on the first area and the second area.

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: Processors determine one or more aggregate confidence scores for a road segment; and based at least in part on the confidence score, determine a map-enabled driving scenario for a road segment. Determining the confidence score for the road segment comprises obtaining feature weights corresponding to road segment characteristics associated with the road segment; obtaining feature data associated with features along the road segment; based on the feature weights, and the feature data, defining continuous parameter range intervals along the road segment; assigning a respective interval confidence score to each continuous parameter range interval along the road segment based on a respective most relevant feature present in that interval; and determining the one or more aggregate confidence scores for the road segment based at least in part on each of the respective interval confidence scores.

Abstract: Systems and methods for determining drone traffic patterns are provided. For example, a method for determining a drone traffic pattern includes analyzing drone activity of drones in an area. The analysis is based on a speed, heading, altitude, or a combination thereof, of the drones. The method also includes determining one or more drone traffic patterns based on the analysis. The method also includes encoding the determined one or more drone traffic patterns in a database to provide one or more instructions for operation of a drone in the area.

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: An apparatus, method and computer program product provide a map layer of one or more temporary dynamic obstructions. For example, the apparatus is configured to receive vehicle/driver behavior data associated with a vehicle at a portion of a road, determine a likelihood of a temporary dynamic obstruction existing proximate to the portion based on the vehicle behavior data, and update a datapoint of a map layer based on the likelihood. The datapoint indicates a state of existence of the temporary dynamic obstruction at the portion.

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: 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: 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 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: 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.