Abstract:
A method is provided for verifying and/or updating map geometry based on a probe data. A method may include: receiving probe data from a plurality of probes within a region, where the probe data includes at least one of heading information and location information for each probe data point; matching the probe data to a link segment to generate map-matched probe data; calculating a difference between the at least one of heading information and location information of the map-matched probe data points and of the link segment; determining a statistical mean of the data; determining an error of the statistical mean of the data; and flagging the link segment for manual review in response to the statistical mean being greater than the error of the statistical mean multiplied by a biasing factor.
Abstract:
Embodiments described herein may provide a method for providing a local hazard warning to vehicles or devices at locations near an observed weather condition. Methods may include: receiving an indication of an observed weather condition from a probe; receiving an indication of a location of the observed weather condition from the probe; generating an estimation of a local hazard at a plurality of locations proximate the location of the observed weather condition; generating a confidence level of the local hazard at each of the plurality of locations proximate the location of the observed weather condition; and generating a local hazard warning for at least one of the plurality of locations in response to the confidence level for the at least one of the plurality of locations satisfying a predefined measure.
Abstract:
A method is provided herein for selecting a combination of a subset of weather stations from among a plurality of weather stations for estimating the weather at a specific location. The method may include: receiving an indication of a plurality of weather stations within a predefined area, where the predefined area includes a first location; determining, for each of the plurality of weather stations, a distance of the weather station from the first location; calculating, for a plurality of different combinations of subsets of the plurality of weather stations, an average distance of the weather stations of each of the plurality of different combinations from the first location; calculating, for each of the different combinations of subsets, an average location relative to the first location; and selecting a combination of a subset of the plurality of weather stations based on the average distance and the average location.
Abstract:
A system, a method and a computer program product are provided for evaluating quality of data, such as sensor data and map data, using a machine learning model. The system may include at least one memory configured to store computer executable instructions and at least one processor configured to execute the computer executable instructions to obtain first sensor features of the first sensor data associated with a road object in a first geographic region, first map features of the first map data associated with the road object and ground truth data associated with the road object. The processor may be configured to generate the machine learning model by configuring the ground truth data and calculating first information scores for each of the first sensor features and the first map features by recursively splitting each of the first sensor features and the first map features.
Abstract:
A method, apparatus and computer program product for determining a rain event warning are described herein. In the context of a method, an indication of the rain event warning for one or more locations may be received. The method may obtain, for a respective rain event warning, sensor data corresponding to a weather condition within a region that includes the location with which the respective rain event warning is associated. The method may evaluate the sensor data to determine whether the sensor data is indicative of the weather condition (e.g., rain). The method may determine a rain event warning confidence based at least in part on evaluation of the sensor data. The method may cause the rain event warning to be published in an instance in which the rain event warning confidence satisfies a confidence threshold.
Abstract:
A method, apparatus and computer program product are provided to process probe data in accordance with a map-centric map matching technique. Methods may include obtaining a road link from a database of a plurality of road links; calculating a boundary separation distance for spacing vertices along a length of the road link; determining a sequence of vertices along the road link according to the boundary separation distance; generating, for each vertex, a spatial boundary where an overlap between spatial boundaries of adjacent vertices extends a first distance from the road link, where the first distance is a minimum distance from the road link; and providing for storage of a spatial boundary structure for the road link including the plurality of spatial boundaries associated with the road link.
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:
A system, a method, and a computer program product may be provided for processing event data. For example, event data relating to an occurrence of an event corresponding to a first tile is received, and a first count value associated with the received event data is determined. A threshold count value associated with the event within the first tile is obtained, and dynamic switching between a link-based processing and a tile-based processing is performed, based on a comparison between the first count value and the threshold count value, wherein on determining the first count value to be greater than the threshold count value, the tile-based processing is performed, and on determining the first count value to be lesser than the threshold count value, the link-based processing is performed.
Abstract:
A method, apparatus and computer program product for activating a flood event warning are described herein. In the context of a method, a location may be identified as a flood prone location. Data relating to the flood prone location may be received from one or more remote devices. The method may determine a flood confidence for the flood prone location based upon the data. The method may identify an active flood event for the flood prone location based on the flood confidence and cause a flood event warning to be activated in an instance in which the active flood event is identified.