Abstract: A route response is received by a mobile apparatus storing a mobile version of a digital map. The route response includes information identifying starting and target locations of a route and a bloom filter encoding a route segment set defined by the route. Decoded starting and target segments for the route are identified from the mobile version of the digital map based on the information identifying the starting and target locations. Map information is accessed for determining a cost value for segments of the digital map. A segment that satisfies the bloom filter is assigned a minimal cost value. A decoded route from the decoded starting segment to the decoded target segment is determined using a cost minimization route determination algorithm based on the cost value assigned to the segments. The decoded route is provided via a user interface and/or a vehicle is controlled to traverse the decoded route.

Abstract: A parking cruise request is received. A network version starting segment is identified and a route determination algorithm is expended starting at the network version starting segment. When the route determination algorithm is expanded to a new segment, a cost value is determined for the new segment based at least on the likelihood of finding parking on the new segment. Responsive to determining that the likelihood of finding parking along the cruise route does satisfy the threshold probability requirement, map version agnostic identifiers for each segment of the cruise route are generated. Each of the map version agnostic identifiers are coded using at least one coding function to generate coded map version agnostic identifiers. A bloom filter having the coded map version agnostic identifiers as members is generated. A parking cruise route response comprising the bloom filter is provided such that a mobile apparatus receives the parking cruise route response.

Abstract: Provided herein is a method of generating and communicating map data agnostic routes between systems. Methods may include: receiving an indication of a route request between an origin and a destination; identifying a starting road segment corresponding to the origin; identifying a target road segment corresponding to the destination; establishing a route between the starting road segment and the target road segment, the route including a plurality of road segments; dividing the route up between the starting road segment and the target road segment into a plurality of route fragments, each route fragment including one or more road segments; generating a fingerprint for each route fragment; and providing the fingerprints in response to the route request.

Abstract: Provided herein is a method of generating and communicating map data agnostic routes between systems, and particularly, to identifying routes between an origin and one or more points-of-interest. Methods may include: receiving an indication of a route request between an origin and one or more points-of-interest; identifying a starting road segment corresponding to the origin; identifying a point-of-interest road segment corresponding to each of the one or more points-of-interest; generating at least one route between the starting road segment and a corresponding one of the one or more point-of-interest road segments; generating a fingerprint for the at least one route; and providing the fingerprints in response to the route request.

Abstract: A method, apparatus, and computer program product are provided for predicting parking availability for one or more road segments based on the map-matched probe data points. A method may include: receiving probe data points from a vehicle, where each probe data point includes a location; determining, from the probe data points, a parking location of the vehicle on a road segment, where the relative location along the road segment on which the vehicle parked can be determined; and estimating availability of other parking spaces along the road segment based on the relative location.

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: Methods, apparatus, systems, and computer program products for predicting short term travel behavior of a user without knowing the user's destination. In one embodiment, a method is provided. The method comprises receiving historical location information for a vehicle and querying a set of indexed partial routes. A partial route of the set of indexed partial routes has a compiled quantity assigned thereto. The method further comprises reducing the set of indexed partial routes to a set of candidate partial routes based at least in part on the historical location information and identifying a most likely partial route from the set of candidate partial routes based at least in part on the compiled quantity associated with each of the candidate partial routes.

Abstract: A method, apparatus, and computer program product are provided for predicting parking availability for one or more road segments based on the map-matched probe data points. A method may include: receiving probe data points from a vehicle, where each probe data point includes a location; determining, from the probe data points, a parking location of the vehicle on a road segment, where the relative location along the road segment on which the vehicle parked can be determined; and estimating availability of other parking spaces along the road segment based on the relative location.

Abstract: Methods, apparatus, systems, and computer program products for predicting short term travel behavior of a user without knowing the user's destination. In one embodiment, a method is provided. The method comprises receiving historical location information for a vehicle and querying a set of indexed partial routes. A partial route of the set of indexed partial routes has a compiled quantity assigned thereto. The method further comprises reducing the set of indexed partial routes to a set of candidate partial routes based at least in part on the historical location information and identifying a most likely partial route from the set of candidate partial routes based at least in part on the compiled quantity associated with each of the candidate partial routes.