Abstract: An approach is provided for providing an isoline map of a time to park at a destination. A routing platform computes the time to park at a destination of a navigation route, wherein the time to park represents an estimated time that is needed for a vehicle to park within a geographic area surrounding the destination. The routing platform further determines an isoline that delineates a boundary of the geographic area, wherein the isoline indicates an extent of the geographic area in which the time to park applies. The routing platform further provide data to generate a user interface depicting a representation of the isoline in the time to park isoline map.

Abstract: Provided herein is a method, apparatus, and computer program product for using isolines representing travel time or distance to points-of-interest to identify a recommended property location.

Abstract: An approach is provided for providing mobility insight data related to shared vehicles for a point of interest (POI). The approach involves retrieving shared vehicle data for the POI. The shared vehicle data indicates one or more shared vehicle events that have occurred, that are occurring at a given time, or a combination thereof within a threshold proximity of the POI. The approach also involves processing the shared vehicle data to determine mobility insight data. The mobility insight data includes a shared vehicle usage pattern, a shared vehicle availability pattern, or a combination thereof under one or more contexts for travel to or from the POI. The approach further involves presenting the mobility insight data in a location-based user interface.

Abstract: An approach is provided for proactive booking of a shared vehicle. A routing platform determines that a user is leaving a location for a destination. The routing platform calculates a probability that the user will use a transport mode employing the shared vehicle for a route segment to the destination based on a context and a profile of the user. The routing platform initiates a creation of a proactive reservation of the shared vehicle based on determining that the probability meets or exceeds a threshold value. The proactive reservation is created without intervention of the user.

Abstract: An approach is provided for dynamic beacons address allocation. The approach involves reporting, by each child node of a beacon tree structure, to a parent node, a load collection packet including a load count of each child node. Each child node is either a leaf node or a parent node. The parent node is either a root node or a child node reporting to another node. The parent node is located on a shortest path from a leaf node to the root node. The load count is a total number of the other nodes reporting to the parent node plus one. The approach also involves receiving, by each child node from the parent node, an address distribution packet that includes a contiguous logical address range and a weighted distance to the root node (WDR). The WDR and/or the tree structure are provided as an input for a drone navigation task.

Abstract: An approach is provided for drone delivery using beacon positioning. The approach, for example, involves determining, at a drone, a cell where a target beacon associated with a domain is located. The approach also involves, upon reaching the cell, transmitting a destination identifier associated with the target beacon from the drone to a domain beacon of the domain in the cell. The approach further involves receiving, by the drone, a guiding signal from the domain beacon to reach the target beacon.

Abstract: An approach is provided for dynamic beacons address allocation. The approach involves reporting, by each child node of a beacon tree structure, to a parent node, a load collection packet including a load count of each child node. Each child node is either a leaf node or a parent node. The parent node is either a root node or a child node reporting to another node. The parent node is located on a shortest path from a leaf node to the root node. The load count is a total number of the other nodes reporting to the parent node plus one. The approach also involves receiving, by each child node from the parent node, an address distribution packet that includes a contiguous logical address range and a weighted distance to the root node (WDR). The WDR and/or the tree structure are provided as an input for a drone navigation task.

Abstract: An approach is provided for providing tailored multi-modal navigation assistance via virtual markers that transition between virtual reality (VR) and augmented reality (AR). The approach involves, for example, computing a VR world including a representation of a geographic location. The approach also involves generating one or more virtual markers in the VR world for familiarizing with the representation of the geographic location. The one or more virtual markers are further presented in an AR user interface based on detecting a physical journey to the geographic location.

Abstract: An approach is disclosed for determining an optimal starting point and tour sequence based on a set of POIs to visit within a given timeframe. The approach involves, for example, receiving a request specifying a plurality of points of interest. The approach also involves determining a plurality of geographic locations associated with the plurality of points of interest. The approach further involves determining a starting area or one or more starting locations within the starting area from which to start a tour of the plurality of points of interest based on the determined plurality of geographic locations. The approach further involves providing the starting area or the one or more starting locations as an output.

Abstract: An approach is provided for providing mobility insight data related to shared vehicles for a point of interest (POI). The approach involves retrieving shared vehicle data for the POI, wherein the shared vehicle data indicates one or more shared vehicle events that have occurred, that are occurring at a given time, or a combination thereof within a threshold proximity of the POI. The approach also involves processing the shared vehicle data to determine mobility insight data, wherein the mobility insight data includes a shared vehicle usage pattern, a shared vehicle availability pattern, or a combination thereof under one or more contexts for travel to or from the POI. The approach further involves presenting the mobility insight data in a location-based user interface.

Abstract: An approach is provided for optimizing intermodal route computations. A routing platform retrieves shared vehicle availability data associated with one or more modes of transport for geographic areas. The routing platform further processes the shared vehicle availability data to determine a shared vehicle availability pattern for each geographic area. The routing platform further generates, based on the shared vehicle availability pattern, an intermodal vehicle availability model indicating a combination of modes of transport for each geographic area, wherein the geographic areas are selectively excluded from computations to generate an intermodal route. The routing platform further provides the intermodal vehicle availability model as an output for generating the intermodal route.

Abstract: An approach is provided for generating a dynamic navigation route based on the availability of a shared vehicle, for example, in a geofenced area for one embodiment. The approach involves identifying a navigation route along which a shared vehicle provider operates based, at least in part, on a distance threshold, wherein the navigation route is an optimal route. The approach also involves monitoring the navigation route to detect a change in current availability of the shared vehicle. The approach further involves recomputing the navigation route to include a route segment associated with the shared vehicle based on determining that the detected change indicates that the shared vehicle has become available.

Abstract: A system, method, and computer program product may be provided for providing on-street parking predictions. A system may include a memory configured to store computer program code instructions; and a processor configured to execute the computer program code instructions to receive service boundary geometry data for a service boundary from one or more shared vehicle service providers; provide on-street parking predictions, based on the received service boundary geometry data; and render a representation of the on-street parking predictions on a user interface of a user device. The processor may be further configured to receive a modification for the service boundary geometry data via the user interface of the user device; update the on-street parking predictions based on the modified service boundary geometry data; and update the representation of the on-street parking predictions on the user interface of the user device, based on the updated on-street parking predictions.

Abstract: An approach is provided for providing mobility insight data related to shared vehicles for a point of interest (POI). The approach involves retrieving shared vehicle data for the POI, the shared vehicle data indicates one or more shared vehicle events that have occurred, that are occurring at a given time, or a combination thereof within a threshold proximity of the POI. The approach also involves processing the shared vehicle data to determine mobility insight data. The mobility insight data, for instance, includes a shared vehicle usage pattern, a shared vehicle availability pattern, or a combination thereof under one or more contexts for travel to or from the POI. The approach further involves presenting the mobility insight data in a location-based user interface.

Abstract: An approach is provided for providing an isoline map of a time to park at a destination. A routing platform computes the time to park at a destination of a navigation route, wherein the time to park represents an estimated time that is needed for a vehicle to park within a geographic area surrounding the destination. The routing platform further determines an isoline that delineates a boundary of the geographic area, wherein the isoline indicates an extent of the geographic area in which the time to park applies. The routing platform further provide data to generate a user interface depicting a representation of the isoline in the time to park isoline map.

Abstract: An approach is provided for providing an intermodal route isoline map. A routing platform determines real-time availability data of a plurality of modes of transport within a geographic area. The routing platform further computes an isoline based on the real-time availability data, wherein the isoline represents a geographic extent that is reachable from a starting location within a designated travel time using an intermodal route that combines at least two of the plurality of modes of transport. The routing platform further provides data to generate a user interface depicting a representation of the isoline in the intermodal route isoline map.

Abstract: An approach is provided for optimizing intermodal route computations. A routing platform retrieves shared vehicle availability data associated with one or more modes of transport for geographic areas. The routing platform further processes the shared vehicle availability data to determine a shared vehicle availability pattern for each geographic area. The routing platform further generates, based on the shared vehicle availability pattern, an intermodal vehicle availability model indicating a combination of modes of transport for each geographic area, wherein the geographic areas are selectively excluded from computations to generate an intermodal route. The routing platform further provides the intermodal vehicle availability model as an output for generating the intermodal route.

Abstract: An approach is provided for providing mobility insight data related to shared vehicles for a point of interest (POI). The approach involves retrieving shared vehicle data for the POI, the shared vehicle data indicates one or more shared vehicle events that have occurred, that are occurring at a given time, or a combination thereof within a threshold proximity of the POI. The approach also involves processing the shared vehicle data to determine mobility insight data. The mobility insight data, for instance, includes a shared vehicle usage pattern, a shared vehicle availability pattern, or a combination thereof under one or more contexts for travel to or from the POI. The approach further involves presenting the mobility insight data in a location-based user interface.

Abstract: An approach is provided for generating a dynamic navigation route based on the availability of a shared vehicle, for example, in a geofenced area for one embodiment. The approach involves identifying a navigation route along which a shared vehicle provider operates based, at least in part, on a distance threshold, wherein the navigation route is an optimal route. The approach also involves monitoring the navigation route to detect a change in current availability of the shared vehicle. The approach further involves recomputing the navigation route to include a route segment associated with the shared vehicle based on determining that the detected change indicates that the shared vehicle has become available.

Abstract: An approach is provided for proactive booking of a shared vehicle. A routing platform determines that a user is leaving a location for a destination. The routing platform calculates a probability that the user will use a transport mode employing the shared vehicle for a route segment to the destination based on a context and a profile of the user. The routing platform initiates a creation of a proactive reservation of the shared vehicle based on determining that the probability meets or exceeds a threshold value. The proactive reservation is created without intervention of the user.