Abstract:
A method, apparatus and computer program products are provided for grouping a plurality of vehicles together into a platoon and using navigation and other available data to optimize the efficiencies of operating the vehicles together as a platoon. Methods may include receiving a first trip request including a first vehicle identification, trip destination, and associated preferences; receiving a second trip request including a second vehicle identification, trip destination, and associated preferences; and generating a platooning plan including assignment of platoon leader to the first vehicle identification and a joining location where a vehicle of the first vehicle identification is to form a platoon with a vehicle of the second identification. Methods may include joining the first vehicle and the second vehicle in a secure vehicle-to-vehicle communication session.
Abstract:
An approach is provided for determining a plurality of notifications associated with one or more curved sections of at least one travel segment. The approach involves causing, at least in part, an aggregation of the plurality of notifications into at least one aggregated notification based, at least in part, on a road distance threshold between the one or more curved sections. The approach also involves causing, at least in part, a presentation of the at least one aggregated notification in place of separately presenting the plurality of notifications.
Abstract:
An approach is provided for a confidence-based road event message. For example, the approach involves aggregating road event reports (e.g., slippery road event reports) from vehicles traveling in an area of interest. The approach also involves retrieving weather data records for the area of interest for a time period corresponding to the reports. The approach may further involve determining a data freshness parameter based on an age of the reports, and a number of vehicle generating the reports. The approach further involves calculating a confidence level for the road event based on the weather data records, data freshness parameter, number of the one or more vehicles, or a combination thereof.
Abstract:
An approach is provided for generating location data error maps. The approach involves determining location data error information associated with at least one set of location data. The approach also involves causing, at least in part, an encoding of the location data error information as a function of a position parameter. The approach further involves causing, at least in part, a generation of at least one location data error map based, at least in part, on the encoding.
Abstract:
An approach is provided for generating parking occupancy data using a machine learning model. The approach involves determining one or more classification features of a road link. The approach also involves processing the one or more classification features using the machine learning model to match the road link to a link category. The approach further involves determining a parking occupancy pattern for the road link based on the link category. The approach further involves creating or updating a parking occupancy record of a geographic record corresponding to road link using the parking occupancy pattern.
Abstract:
An approach is provided for separating past speed data into speed profiles corresponding to multi-modal segments of a travel network. A navigation processing platform determines one or more links of at least one travel network that includes at least one split into two or more links. The navigation processing platform processes and/or facilitates a processing of probe data associated with the one or more links to determine that the one or more links exhibit a multi-modality with respect to travel speed. The navigation processing platform then determines a plurality of speed profiles for one or more segments of the one or more links based, at least in part, on the multi-modality. The navigation processing platform further causes, at least in part, a generation of at least one travel speed map that associates the plurality of speed profiles with the one or more segments of the one or more links.
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.