Abstract: An apparatus receives at least one set of sensor data from at least one mobile device. The sensor data was measured at a particular site and comprises at least motion related sensor data. The apparatus selects a set of parameter values for a parametric site model from a plurality of possible sets of parameter values. The set of parameter values is selected which has the highest likelihood that the parametric site model configured with the set of parameter values correctly represents the particular site in view of the received at least one set of sensor data.

Abstract: A method, apparatus, and computer program product are provided in accordance with an example embodiment described herein for providing a recommendation for a parking strategy. A method may be provided for providing the recommendation for a parking strategy for a vehicle in vicinity of a link that includes: determining an availability metric for the link; determining a turnover metric of vehicles in the link; calculating, by a processor, a strategy metric based on a function of at least the availability metric and the turnover metric, for identifying a strategy for providing parking related recommendation, and providing data for indicating the identified strategy for parking to a user interface. The data for indication may include data for indicating a route for the vehicle on the user interface to navigate to a favorable parking spot in the vicinity of the link, in accordance with the identified strategy for parking.

Abstract: Embodiments described herein may provide a method for presenting a list of relevance-ranked milestone locations in a navigation system user interface. Methods may include: determining a current, map-matched location and a direction of travel; determining a plurality of milestone locations based on the current, map-matched location and the direction of travel; determining a priority ranking of the plurality of milestone locations; and providing for display of a subset of the plurality of milestone locations having the highest priority. Methods may optionally include providing for display of an estimated travel time to each of the milestone locations of the subset of the plurality of milestone locations, where the estimated travel time is based on a distance from the current, map-matched location and dynamic traffic awareness.

Abstract: Methods are provided for modeling mobility based on one or more devices of the user. Methods may include: receiving at least a portion of a first mobility model from a first device, where the first mobility model may be established based on learning algorithms performed on the first device; updating a shared mobility model to become a first shared mobility model based on the at least a portion of the first mobility model; providing the first shared mobility model to the first device; receiving at least a portion of a second mobility model from a second device, where the second mobility model may be established based on learning algorithms performed on the second device; updating the first shared mobility model to become a second shared mobility model based on the at least a portion of the second mobility model; and providing the second shared mobility model to the second device.

Abstract: Route information data records are received from a navigation system indicating road elements and maneuvers between a starting point and a destination point. An estimated time of arrival is established using the route information data records. A personalized correction value based on the road elements, maneuvers, and a driver profile is determined. A personalized time of arrival is calculated based on the estimated time of arrival value and the personalized correction value.

Abstract: An approach is provided for global voice-based entry of location information. The approach involves partitioning a global speech decoding graph into spatial partitions. The approach also involves determining key entities occurring in each spatial partitions to construct a combined set of key entities. The approach further involves creating a retrieval index to map the key entities in the combined set of key entities to a corresponding partition. A first partition, the combined set of key entities, and the retrieved index are stored in a memory of a device for processing a voice input signal. A second partition that is not in the memory of the device is retrieved based on the combined set of key entities and the retrieval index to automatically re-process the voice input signal when an out-of-vocabulary result is obtained from the first partition.

Abstract: Route information data records are received from a navigation system indicating road elements and maneuvers between a starting point and a destination point. An estimated time of arrival is established using the route information data records. A personalized correction value based on the road elements, maneuvers, and a driver profile is determined. A personalized time of arrival is calculated based on the estimated time of arrival value and the personalized correction value.

Abstract: An approach is provided for mobility-based language model adaptation for navigational speech interfaces. The approach involves receiving a word lattice resulting from a speech recognition process applied on a speech input received from a user via a navigational speech interface. The word lattice includes a respective speech recognition score for each word in the word lattice. The approach further involves adapting a language model comprising a plurality of location entities according to a mobility relevance and a search relevance of the plurality of location entities to the user. In one embodiment, the mobility relevance and the search relevance are determined by computing a probability of the user visiting the location entities associated with said each word after the user queries for said each word. The approach further involves initiating a re-scoring of said each word in the word lattice using the adapted language model to generate a speech recognition output.

Abstract: Embodiments described herein may provide a method for identifying geo-tagged objects or events and estimating the probability that a vehicle path will intersect with the geo-tagged object or event. Methods may include: determining a first map-matched location and a second map-matched location; determining a plurality of road segments emanating from or leading to the first map-matched location, a portion of which connect between the first map-matched location and the second map-matched location; calculating at least one of a weight or a turn probability for turning onto a road segment for each road segment of the plurality of road segments; and determining, from the weight or the turn probability associated with each road segment of the portion of road segments that connect between the first map-matched location and the second map-matched location, a probability of a path taken between the first map-matched location and the second map-matched location.

Abstract: An approach is provided for parking availability detection based on vehicle trajectory information. A trajectory processing platform processes and/or facilitates a processing of trajectory data associated with at least one journey of at least one vehicle to determine at least one portion of the at least one journey that is associated at least one parking search by the at least one vehicle. The trajectory processing platform also determines one or more street segments associated with the at least one portion of the at least one journey. The trajectory processing platform further causes, at least in part, a classification of the one or more street segments as associated with the at least one parking search. The trajectory processing platform further determines parking availability information for the one or more street segments based, at least in part, on the trajectory data.

Abstract: An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: use a classification model to identify one or more anomalies between a monitored trajectory of a vehicle through a road network and predefined map data for the road network which are likely caused by errors in the predefined map data; and provide details of the one or more identified anomalies for use in obtaining additional data for the specific locations on the road network corresponding to the one or more identified anomalies in order to correct the errors in the predefined map data.

Abstract: An approach is provided for global voice-based entry of location information. The approach involves partitioning a global speech decoding graph into spatial partitions. The approach also involves determining key entities occurring in each spatial partitions to construct a combined set of key entities. The approach further involves creating a retrieval index to map the key entities in the combined set of key entities to a corresponding partition. A first partition, the combined set of key entities, and the retrieved index are stored in a memory of a device for processing a voice input signal. A second partition that is not in the memory of the device is retrieved based on the combined set of key entities and the retrieval index to automatically re-process the voice input signal when an out-of-vocabulary result is obtained from the first partition.

Abstract: Embodiments described herein may provide a method for identifying geo-tagged objects or events and estimating the probability that a vehicle path will intersect with the geo-tagged object or event. Methods may include: determining a first map-matched location and a second map-matched location; determining a plurality of road segments emanating from or leading to the first map-matched location, a portion of which connect between the first map-matched location and the second map-matched location; calculating at least one of a weight or a turn probability for turning onto a road segment for each road segment of the plurality of road segments; and determining, from the weight or the turn probability associated with each road segment of the portion of road segments that connect between the first map-matched location and the second map-matched location, a probability of a path taken between the first map-matched location and the second map-matched location.

Abstract: Embodiments described herein may provide a method for presenting a list of relevance-ranked milestone locations in a navigation system user interface. Methods may include: determining a current, map-matched location and a direction of travel; determining a plurality of milestone locations based on the current, map-matched location and the direction of travel; determining a priority ranking of the plurality of milestone locations; and providing for display of a subset of the plurality of milestone locations having the highest priority. Methods may optionally include providing for display of an estimated travel time to each of the milestone locations of the subset of the plurality of milestone locations, where the estimated travel time is based on a distance from the current, map-matched location and dynamic traffic awareness.

Abstract: An approach is provided for determining an escape point for at least one predicted route, and causing a timely notification based on attributes associated with the escape point. The approach involves determining at least one predicted route for at least one vehicle. The approach also involves determining one or more traffic events associated with the at least one predicted route. The approach further involves determining at least one escape point for the one or more traffic events, wherein the at least one escape point represents at least one location at which the one or more traffic events can be avoided via at least one detour route. The approach also involves causing, at least in part, a presentation of one or more notifications related to the at least one escape point, the one or more traffic events, or a combination thereof based, at least in part, on characteristic information, availability information, or a combination thereof associated with the at least one escape point.

Abstract: Methods are provided for modeling mobility based on one or more devices of the user. Methods may include: receiving at least a portion of a first mobility model from a first device, where the first mobility model may be established based on learning algorithms performed on the first device; updating a shared mobility model to become a first shared mobility model based on the at least a portion of the first mobility model; providing the first shared mobility model to the first device; receiving at least a portion of a second mobility model from a second device, where the second mobility model may be established based on learning algorithms performed on the second device; updating the first shared mobility model to become a second shared mobility model based on the at least a portion of the second mobility model; and providing the second shared mobility model to the second device.

Abstract: An approach is provided for determining an escape point for at least one predicted route, and causing a timely notification based on attributes associated with the escape point. The approach involves determining at least one predicted route for at least one vehicle. The approach also involves determining one or more traffic events associated with the at least one predicted route. The approach further involves determining at least one escape point for the one or more traffic events, wherein the at least one escape point represents at least one location at which the one or more traffic events can be avoided via at least one detour route. The approach also involves causing, at least in part, a presentation of one or more notifications related to the at least one escape point, the one or more traffic events, or a combination thereof based, at least in part, on characteristic information, availability information, or a combination thereof associated with the at least one escape point.

Abstract: Route information data records are received from a navigation system indicating road elements and maneuvers between a starting point and a destination point. An estimated time of arrival is established using the route information data records. A personalized correction value based on the road elements, maneuvers, and a driver profile is determined. A personalized time of arrival is calculated based on the estimated time of arrival value and the personalized correction value.

Abstract: An approach is provided for providing context-related destination location recommendations. The destination recommendation platform determines at least one context associated with at least one user. The platform processes and/or facilitates a processing of mobility pattern information associated with the at least one user to determine one or more predicted destination locations and associated probability information based, at least in part, on the at least one context. The probability information represents respective one or more probabilities that the at least one user will travel to the one or more predicted destination locations under the at least one context. The platform further determines entropy information based, at least in part, on the probability information. The platform determines whether to cause, at least in part, a presentation of one or more recommended destination locations to the at least one user based, at least in part, on the entropy information.

Abstract: An approach is provided for parking availability detection based on vehicle trajectory information. A trajectory processing platform processes and/or facilitates a processing of trajectory data associated with at least one journey of at least one vehicle to determine at least one portion of the at least one journey that is associated at least one parking search by the at least one vehicle. The trajectory processing platform also determines one or more street segments associated with the at least one portion of the at least one journey. The trajectory processing platform further causes, at least in part, a classification of the one or more street segments as associated with the at least one parking search. The trajectory processing platform further determines parking availability information for the one or more street segments based, at least in part, on the trajectory data.