Abstract: A method, apparatus and computer program product are provided for predicting a split lane traffic pattern for a road segment. In this regard, first traffic data for an upstream road segment of the road segment is aggregated based on a distribution of speeds associated with location probe points representative of travel of vehicles along the road segment. Furthermore, second traffic data for a first downstream road segment of the road segment is aggregated based on the distribution of speeds associated with the location probe points for the vehicles. Third traffic data for a second downstream road segment of the road segment is also aggregated based on the distribution of speeds associated with the location probe points for the vehicles. Additionally, a machine learning model that predicts a traffic pattern is trained based on the first traffic data, the second traffic data and the third traffic data.

Abstract: A method, apparatus and computer program product are provided for determining a split lane traffic pattern for a road segment. In this regard, first traffic data for an upstream road segment of the road segment is aggregated based on a distribution of speeds associated with location probe points representative of travel of vehicles along the road segment. Furthermore, second traffic data for a first downstream road segment of the road segment is aggregated based on the distribution of speeds associated with the location probe points for the vehicles. Third traffic data for a second downstream road segment of the road segment is also aggregated based on the distribution of speeds associated with the location probe points for the vehicles. A traffic classification profile for the road segment is also determined based on statistical analysis of the first traffic data, the second traffic data and the third traffic data.

Abstract: An approach is provided for speed aggregation of probe data for high-occupancy-vehicle (HOV) or other road lanes. The approach involves, for example, determining a line that is parallel to a road segment and divides the road segment along a longitudinal axis. The approach also involves determining a spatial distribution of probe data collected from the road segment with respect to the line. The approach further involves clustering the probe data into a first cluster and a second cluster based on speed. The approach further involves assigning the first cluster to a first lane of the road segment, the second cluster to a second lane of the road segment, or a combination thereof based on the spatial distribution to output a bi-modality event (e.g., an HOV traffic event).

Abstract: An approach is provided for mining pedestrian probe data from mix-mode probe data. The approach involves, for example, receiving a probe trajectory including a vehicle mode of travel, a pedestrian mode of travel, or a combination thereof. The approach also involves processing the probe trajectory to determine at least one speed value and at least one sinuosity value. The approach further involves determining a pedestrian probe detection metric based on the at least one speed value and the at least one sinuosity value. The approach further involves ranking the probe trajectory among a plurality of probe trajectories based on the pedestrian probe detection metric and/or classifying the probe trajectory as either a vehicle probe trajectory or a pedestrian probe trajectory based on the pedestrian probe detection metric.

Abstract: One or more lane level dynamic profiles are received. Each lane level dynamic profile comprises at least one dynamic parameter corresponding to a lane of a traversable network. A lane level network graph is received for at least a portion of the traversable network. A cost is assigned to the lane based on the at least one dynamic parameter corresponding to the lane. A routing or navigation function is performed using the cost assigned to the lane and the lane level network graph to generate routing information. The routing information is provided such that a mobile apparatus receives the routing information.

Abstract: An apparatus and method are disclosed for calculation of a dangerous road strand of a roadway. Probe data for a roadway having multiple lanes is identified. A subset of the probe data for a predetermined lane is selected and values for a change in velocity for multiple sequences in the subset of probe data are calculated. Based on clustering for the change in velocity and a danger value, the dangerous road strand is identified. The dangerous road strand is stored in a geographic database in association with the lane for the roadway.

Abstract: An approach is provided for using pedestrian probe data for ridesharing. The approach involves, for example, receiving pedestrian probe data from a search zone associated with a designated location. The pedestrian probe data is collected, for instance, from one or more location sensors of at least one device associated with at least one pedestrian. The approach also involves processing the pedestrian probe data to determine one or more pedestrian paths terminating at the designated location. The approach further involves identifying at least one common origin, at least one common destination, or a combination thereof of the one or more pedestrian paths and providing the least one common origin, the at least one common destination, or a combination thereof as an output.

Abstract: An approach is provided for providing lane-level connectivity data at an intersection. The approach involves, for example, retrieving probe data for an intersection with at least one upstream road link and at least one downstream link. The approach also involves performing a lane-level map-matching of the probe data to one or more upstream lanes of the at least one upstream road link, one or more downstream lanes of the at least one downstream link, or a combination thereof. The approach further involves generating a junction matrix for the intersection between the one or more upstream lanes of the at least one upstream road link and the one or more downstream lanes of the at least one downstream road link based on the lane-level map-matching of the probe data. The approach further involves determining lane-connectivity data for the intersection based on the junction matrix.

Abstract: System and methods are provided for a supervised point map matcher. The supervised point map matcher learns parameters from historical data that provide insight into the optimal probabilistic metrics that inform the bias of probes heading and distance for segments on the roadway. Probability weights for segments are generated. A more accurate path based map matching algorithm is used to identify direction and heading errors in the historical probe data. Values for the probability weights are calculated using kernel density estimation and a gaussian probability density function. The probability weights are used to improve the real time performance of the point map matcher. A confidence value is calculated as a function of the probability weights and provided with the map matched results.

Abstract: A method performed by at least one apparatus is described, said method comprising: obtaining a routing request for determining a route between a first position and a second position in a transport network of a map; determining or triggering determining alternate routes between said first position and said second position at least based on costs of a first cost type for travelling a respective route; and determining or triggering determining costs of a second cost type for travelling a respective route for at least one of said alternate routes, wherein said second cost type is based on a probability of an unexpected traffic event on a respective route.

Abstract: A plurality of instances of probe data are received. Each instance of probe data corresponds to travel of a vehicle apparatus along a first segment, comprises an indication of at least one parameter characterizing the travel of the vehicle apparatus along the first segment. The at least one parameter is extracted from the instances of probe data to generate a distribution of parameters. One or more clusters of instances of probe data are identified based on the distribution of parameters. Responsive to identifying two or more clusters, a representative at least one parameter is determined for each cluster, and an element of a data structure is modified based thereon for each cluster. Responsive to identifying only one cluster of instances of probe data, the data structure is not modified based on the cluster. A navigation application is configured to use the data structure to perform a navigation function.

Abstract: Various aspects of a location-enabled AR platform system and a method for interoperability of augmented reality (AR) applications are disclosed herein. In accordance with an embodiment, the location-enabled AR platform system may include a memory and a processor. The processor may be configured to provide a protocol for communication between a first AR application and a second AR application. The processor may be further configured to receive, from the first AR application, a first set of functionalities of a plurality of functionalities for exposure. The processor may be configured to provide an accessibility of the received first set of functionalities of the first AR application to the second AR application. The processor may be configured to control the second AR application to manipulate the at least one AR object in the AR content of the first AR application.

Abstract: An approach is provided for using aerial drones for road and traffic monitoring. The approach, for example, involves navigating an aerial drone to a physical marker located on a road link. The approach also involves initiating a capture of sensor data of the physical marker by a sensor of the aerial drone. The approach further involves adjusting a position, an altitude, or a combination thereof of the aerial drone to a reference position, a reference altitude, or a combination thereof over the physical marker based on the sensor data. The approach further involves initiating a capture of one or more images of the road link by the aerial drone at the reference position, the reference altitude, or a combination thereof. By way of example, the captured images can be processed for road and traffic monitoring and/or other similar applications.

Abstract: A method, apparatus, and computer program product are provided for dynamically detecting dangerous merging situations. The method includes obtaining speed information for one or more road segments. The speed information includes lane-level traffic speed information. The method also includes determining a source speed of a source lane and a target speed of a target lane based on the speed information. The method further includes determining that a merging instance from the source lane into the target lane would be a dangerous merging situation based on a comparison of the source speed and the target speed. The method still further includes providing a signal based on the determination of a dangerous merging situation. A corresponding apparatus and computer program product are also provided.

Abstract: A method, apparatus, and computer program product are provided for dynamically updating route guidance for a vehicle. The method includes receiving an arrival tolerance indicator for a trip. The arrival tolerance indicator includes an arrival tolerance. The method also includes generating a projected route based on a fastest trip route calculated based on a beginning position of the trip and a destination of the trip. The method further includes calculating an alternative route for each of at least one alternative roadway as the vehicle approaches an intersection. The method still further includes creating a signal relating to at least one alternative route within the arrival tolerance in an instance at least one alternative route is within the arrival tolerance. A corresponding apparatus and computer program product are also provided.

Abstract: A plurality of sequences of instances of probe data are received. Each sequence corresponds to travel of a vehicle apparatus along a first segment to one of two or more possible subsequent second segments and comprises an indication of at least one parameter characterizing the travel of the vehicle apparatus along the first segment. Groups of sequences are determined. Each group corresponds to a subsequent second segment. For a first group, at least one representative parameter is determined based on the at least one parameter of the sequences of the first group. An element of a data structure is modified and/or updated with the at least one representative parameter. The element of the data structure corresponds to the first group. A geographic database comprises the data structure and a navigation application is configured to use at least a portion of the data structure to perform a navigation function.

Abstract: An approach is provided for creating an origin-destination matrix from probe trajectory data. The approach includes determining, via an outdoor positioning system, that at least one probe device has entered a point-of-interest (POI). The approach also includes initiating an indoor positioning system to determine indoor location data associated for the at least one probe device while the at least one device is within the POI. The approach further includes processing the indoor location data to generate an origin-destination (OD) matrix. The OD matrix represents an indoor movement of the at least one probe device among a plurality of sub-POIs located within the POI indicated by the indoor location data. The approach further includes providing the OD matrix as an output.

Abstract: A method is provided for generating lane-level route guidance. Methods may include generating a first lane-level maneuver pattern between an origin and a destination based on a database of historical probe data points, each probe data point received from a probe apparatus of a plurality of probe apparatuses, where the lane-level maneuver pattern includes a recommended lane of travel along the route between the origin and the destination based on at least one of relative safety, relative popularity, or relative efficiency of the lane-level maneuver pattern; receiving a plurality of real-time or near real-time probe data points; generating an updated lane-level maneuver pattern between the origin and the destination based on the first lane-level maneuver pattern and the plurality of real-time or near real-time probe data points; and providing for route guidance of a vehicle based on the updated lane-level maneuver pattern.

Abstract: A method is provided for gathering probe data and using the gathered data to establish traffic speeds for various paths through an intersection. Methods may include receiving probe data from a plurality of probes approaching an intersection along a common road segment; receiving probe data from the plurality of probes exiting the intersection along two or more different road segments; determining traffic speed for each path through the intersection from the common road segment based on the received probe data from the plurality of probes approaching the intersection along the common road segment and the received probe data from the plurality of probes exiting the intersection along two or more different road segments; and generating an indication of the traffic speed for each path through the intersection to be provided for display on a graphical representation of the intersection.

Abstract: A method, apparatus and computer program product are provided to define a strand upstream of a direction based traffic (DBT) link. In a method, a strand is defined upstream of a DBT link. The method includes extending the strand so as to include one or more links upstream of the DBT link. The strand is extended by determining whether a link is to be added to the strand based upon evaluation of a termination criteria. The termination criteria is at least partially based upon a relationship of a function class of the link to the function class of one or more other links. In an instance in which the termination criteria is satisfied, the method ceases further extension of the strand.