Abstract: A method, a system, and a computer program product are provided for generating route data of one or more routes through an area. The method includes obtaining from a map database, a plurality of map-matched links corresponding to area and determining one or more first links and one or more second links from the plurality of map-matched links. The method further includes searching the map database, in the downstream of each of the first links for one or more missing downstream links and searching the map database in the upstream of each of the second links for one or more missing upstream links, and generating the route data of the routes based on the first link, the second link, the missing downstream links, the missing upstream links, and the plurality of map-matched links.

Abstract: A method, a system, and a computer program product may be provided for generating at least one route speed funnel for roadwork zone identification. The method may include generating a plurality of learned speed signs from a first plurality of road sign observations captured by a first plurality of vehicles, determining a plurality of candidate speed funnels from the plurality of learned speed signs, based on corresponding locations, corresponding headings, and corresponding sign values and generating at least one route speed funnel from the plurality of candidate speed funnels based on session identifiers associated with a second plurality of vehicles of the first plurality of vehicles and corresponding time stamps of the plurality of learned speed signs. Each of the plurality of candidate speed funnels comprises a different pair of learned speed signs selected from the plurality of learned speed signs.

Abstract: A computer-implemented method for prediction of a roadwork zone on at least a second road segment is provided. The method comprises retrieving at least one of map data or first sensor data for at least a first road segment. The method also comprises retrieving ground truth data for at least the first road segment, the ground truth data indicating a true presence or a true absence of a roadwork zone on the at least first road segment. The method further comprises receiving second sensor data associated with the at least second road segment. The method further comprises generating roadwork zone data of the roadwork zone on the at least second road segment, based on the at least one of map data or the first sensor data, the ground truth data, and the second sensor data.

Abstract: A solution including a method, a system, and a computer program product are provided herein in accordance with at least one example embodiment for identification of at least one road work extension in a geographical location. The solution includes the process of building and accessing of a map for the geographic location curated with the marking of one or more road work zones corresponding to the at least one road work extensions. The method includes the steps of obtaining multiple speed funnels of a route and validating at least one speed funnel based on the sign value of a last learned speed sign of the speed funnel. The method further generates the road work extension data associated with the road work extension based on the last learned speed sign and a result.

Abstract: A method, a system, and a computer program product may be provided for generating at least one route speed funnel for roadwork zone identification. The method may include generating a plurality of learned road signs from a plurality of road sign observations captured by a plurality of vehicles, determining a plurality of primary speed funnels, and generating at least one route speed funnel from the plurality of primary speed funnels based on a route validity condition. Each of the plurality of primary speed funnels comprises a different pair of learned road signs selected from the generated plurality of learned road signs. The method may further include determining a plurality of candidate speed funnels and temporally validating the plurality of candidate speed funnels to obtain the plurality of primary speed funnels.

Abstract: Embodiments described herein may provide a method for generating a local hazard warning polygon and establishing a quality score thereof. Methods may include: receiving a plurality of probe data points from a plurality of probes within a mapped region, where each probe data point includes location information and weather condition information; generating, based on a plurality of probe data points indicating an adverse weather condition, a local hazard warning condition polygon including a plurality of local hazard warning condition vertices; receiving weather conditions at each of a plurality of map points within the mapped region; correlating each local hazard warning condition vertex with a respective map point within the mapped region; and establishing a quality score of the local hazard warning condition polygon based on a proportion of the local hazard warning condition vertices indicating an adverse weather condition agreeing with a weather condition at a respective correlated map point.

Abstract: A method, a system, and a computer program product may be provided for updating a map database to indicate presence status of a road sign. The method may include receiving a road sign observation from at least one vehicle. The method may further include determining a road sign confidence score based on the received road sign observation, wherein the road sign observation comprises at least one of a positive road sign observation and a negative road sign observation. Additionally, the method may include updating the map database to indicate the presence status of the road sign based on the road sign confidence score being above a predetermined threshold, wherein the confidence score is based on at least one of the positive road sign observation and the negative road sign observation.

Abstract: An approach is provided for determining at least one distribution of a plurality of current values for at least one dynamic content parameter associated with a plurality of points of interest within a predetermined proximity to at least one target point of interest. The approach involves determining at least one distribution mean and at least one distribution standard deviation for the at least one distribution of the plurality of current values. The approach also involves determining at least one set of historical values for the at least one dynamic content parameter for the at least one target point of interest. The approach further involves determining at least one estimated current value for the at least one dynamic content parameter associated with the at least one target point of interest based, at least in part, on the at least one set of historical values, the at least one distribution mean, and the at least one distribution standard deviation.

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: A method is provided for prediction of a physical divider on a road. The method comprises retrieving vehicular sensor data, map data, or a combination thereof captured over a predefined period of time for at least one segment of the road. The method further comprises aggregating the respective vehicular sensor data, map data, or the combination thereof for the at least one segment of the road to generate one or more aggregated values. The method further comprises generating output data corresponding to presence of the physical divider in the at least one segment of the road by a machine learning model based on the one or more aggregated values as an input to the machine learning model.

Abstract: An apparatus is configured to perform a method for generating warning polygons for weather events in a geographic region. The method includes receiving measurement data from one or more sensors, identifying at least one location from the measurement data, identifying a map tile within a predetermined distance to the at least one location, generating a map tile cluster based on analysis of the at least one map tile, accessing an end-use constraint of the end-use device, the end-use constraint indicative of a constraint in processing on the end-use device, and calculating the warning polygon based on the map tile cluster and based on the end-use constraint such that the polygon intersects the geographic region.

Abstract: A method, system, and computer program product is provided, for example, for assisting a user of the vehicle in following a prescribed speed limit while travelling in the vehicle. The method comprises providing a speed limit related recommendation to the user of the vehicle. The method further comprises receiving an image data representing a posted sign, in a vicinity of the vehicle, the image data being detected by one or more image capturing devices. Additionally, the method comprises processing the image data received to determine an observed numerical value. The method further comprises calculating, by a processor, a sign reliability factor based on a function of at least the observed numerical value, a historic mean of one or more vehicle speeds at the time of sign observation and a standard deviation of the one or more vehicle speeds at the time of sign observation. Additionally, the method may include providing data for an indication of the speed limit to be followed by the vehicle.

Abstract: An approach is provided for publishing a road event message according to a hysteresis. For example, the approach involves processing a road report to determine a road event associated with a geographic location and a confidence metric of the road event. The approach also involves initiating a publishing of a road event message to indicate the road event for the geographic location based on determining that the confidence metric is greater than an upper threshold of a hysteresis. The approach further involves processing one or more other road reports to update the confidence metric of the road event. The approach further involves initiating a cancelling of the road event message based on determining that the updated confidence metric is less than a lower threshold of the hysteresis.

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: A method, system, and computer program product is provided, for example, for learning about a road sign using clustering of pre-processed road sign recognition observations. In an example embodiment, the method may include receiving, by a layered clustering system, the pre-processed road sign recognition observations generated by at least one sensor installed on a vehicle. The pre-processed road sign recognition observations include at least two continuous-value attributes. The method may further include creating, by the layered clustering system, a first clustering label corresponding to a first attribute of the at least two continuous-value attributes for generating a plurality of first clusters.

Abstract: A method, system, and computer program product is provided, for example, for predicting a location of a road sign. In an example embodiment, the method may include receiving a set of pre-processed road observations and extracting a plurality of features from the set of pre-processed road observations, wherein the plurality of features comprise at least a plurality of sensor based features and a plurality of map based features. Further, the method may include associating a set of sensor based features from the plurality of sensor based features and a set of map based features from the plurality of map based features with at least one of a plurality of ground truth points in ground truth data.

Abstract: A method, system, and computer program product is provided, for example, for identifying a type of road sign. The method may include receiving a plurality of observations for the road sign. The method may also include clustering the plurality of observations based on at least a location and a heading of the road sign. Further, the method may include filtering the plurality of observations in the cluster based on a speed value and a lateral offset of each of the plurality of observations. Also, the method may include identifying the type of the road sign based on the filtering.

Abstract: An approach is provided for machine learning of physical dividers. The approach, for instance, involves retrieving map data, sensor data, or a combination thereof for a segment of a road. The approach also involves retrieving ground truth data for the segment of the road. The ground truth data, for instance, indicates a true presence or a true absence of the physical divider on the segment of the road. The approach further involves processing the map data, the sensor, or a combination thereof and the ground truth data to train a machine learning model to predict the physical divider using the map data, the sensor data, or a combination thereof as an input. The approach further involves using the trained machine learning model to a generate a physical divider overlay of a map representation of a road network.

Abstract: An apparatus is configured to perform a method for generating warning polygons for weather events in a geographic region. The method includes receiving measurement data from one or more sensors, identifying at least one location from the measurement data, identifying a map tile within a predetermined distance to the at least one location, generating a map tile cluster based on analysis of the at least one map tile, accessing an end-use constraint of the end-use device, the end-use constraint indicative of a constraint in processing on the end-use device, and calculating the warning polygon based on the map tile cluster and based on the end-use constraint such that the polygon intersects the geographic region.

Abstract: An approach is provided for detecting a presence of a physical divider on a road segment. The approach, for example, involves determining a number of positive observations of the physical divider on the road segment based on sensor data collected from one or more vehicles traveling the road segment. The approach also involves determining a number of negative observations of the physical divider on the road segment based on the sensor data. The approach further involves calculating a probability of the presence of the physical divider based on the number of the positive observations and the number of the negative observations. The approach further involves updating map data for the road segment to indicate the presence of the physical divider based on determining that the probability of the presence of the physical divider is greater than a threshold value.