Abstract:
Methods, apparatuses, systems, and computer program products are presented for determining a speed profile for a selected link of a travel network. Map data representing, at least in part, a travel network is obtained or held available. At least one speed profile for at least one selected link of the travel network is determined at least partially based on speed represented by a plurality of probe data points of one or more probe data sets of a plurality of probe data sets and a weighting function for weighting the speeds represented by the plurality of probe data points of one or more probe data sets of the plurality of probe data sets. The one or more probe data sets are associated with the selected link for which the speed profile is determined.
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:
A method is presented, which comprises: obtaining or holding available map data representing, at least in part, a travel network, determining, for at least one selected link of the travel network represented by the map data, a plurality of potential travel paths, wherein each potential travel path of the plurality of potential travel paths for the at least one selected link is at least partially defined by an incoming link of the travel network and an outgoing link of the travel network that are linked by the selected link and a direction of travel from the incoming link to the outgoing link on the selected link, for each potential travel path of the plurality of potential travel paths, determining whether the respective potential travel path is at least partially defined by a short incoming link and, if it is determined that the respective potential travel path of the potential travel paths is at least partially defined by a short incoming link, replacing the respective potential travel path of the plurality of potential travel paths with one or more further potential travel paths, wherein each of the further potential travel paths is at least partially defined by a further incoming link of the travel network linked by the short incoming link with the selected link and the outgoing link and a direction of travel from the further incoming link to the outgoing link on the selected link, for each potential travel path of the plurality of potential travel paths, determining a respective speed profile at least partially based on a plurality of respective probe data points of one or more respective probe data sets of a plurality of probe data sets, the one or more respective probe data sets associated with the respective potential travel path for which the respective speed profile is determined. Further presented are inter-alia corresponding apparatuses, a corresponding system and a corresponding computer program code.
Abstract:
A method is provided for generating ground truth data for positional data with matched road segments. The method comprises identifying a route comprising one or more road segments. Positional data, collected while traveling the route, is received. A plurality of candidate road segments is identified. The positional data is matched to one of the plurality of candidate road segments, wherein the one or more road segments are prioritized for matches.
Abstract:
A method is presented which comprises: obtaining or holding available map data representing, at least in part, a travel network comprising a plurality of links, determining at least one lane specific speed profile for a specific lane of at least one selected link of said plurality of links at least partially based on perpendicular distances between said selected link as represented by said map data and positions represented by a plurality of probe data points. Further presented are inter-alia corresponding apparatuses, a corresponding system and a corresponding computer program code.
Abstract:
A method is provided for partitioning probe data into a plurality of subsets, map matching a portion of the subsets and establishing a route based on the map-matched subsets of probe data. A method is provided that includes: receiving probe data points from a plurality of probes, where an uncertainty of the measurement of the probe data is a first distance; partitioning the probe data from the plurality of probes into subsets of probe data, where the subsets are created by ensuring each subset has probe data points that are at least two times the first distance apart from one another; performing map-matching on each subset of probe data; and establishing a route for each subset based on the map-matching of each subset of probe data. Establishing a route for each subset may include determining a route according to at least one of the shortest, fastest, or simplest routes.
Abstract:
A method, apparatus and computer program product are provided for object identification and location correlation based on received images. A method is provided including receiving identity data associated with an object derived from one or more of a plurality of images determining an identity of an object in one or more of the plurality of images, receiving location information associated with a camera which captured the plurality of images, and correlating the identified object with a location for each of the respective images of the plurality of images.
Abstract:
A method, apparatus and computer program product are provided for object identification and location correlation based on received images. A method is provided including receiving identity data associated with an object derived from one or more of a plurality of images determining an identity of an object in one or more of the plurality of images, receiving location information associated with a camera which captured the plurality of images, and correlating the identified object with a location for each of the respective images of the plurality of images.
Abstract:
In one embodiment, traffic data that originates from sensors, cameras, or observations is analyzed. The traffic data is associated with multiple repeating time epochs or intervals. The traffic data is divided into clusters using a clustering technique. The clustering technique may include clusters of variable sizes. Each of the clusters is analyzed to calculate statistical parameters including but not limited to an average value for one or more clusters and a standard deviation value for one or more clusters. In response to a request for traffic data, simulated traffic data may be generated by providing the average value and the standard deviation value for one or more of the clusters.
Abstract:
An approach is provided for node-based map matching. The approach involves processing probe data to sort a plurality of probe points according to sessions keys. The approach also involves selecting a subset of the plurality of probe points within a threshold distance of a node of a map representation of a transportation network. The approach further involves initiating a map matching of the probe points of each session key to the map representation by, for said each session key: (1) determining a closest probe point to the node; (2) determining another closest probe point to a neighboring node, wherein the neighboring node is connected to the node by at least one link; and (3) projecting the plurality of probe points between the closest probe point to the node and the another closest probe point to the neighboring node onto the link.