Abstract: Apparatus and methods are described for updating a geographic database based on road object probabilities. For example, an initial value set for an existence probability that a road object exists is determined. Observation data collected from sensors of vehicles are received. A total quantity of the observation data include a first quantity of vehicles that observed a presence of the road object and a second quantity of the vehicles observed an absence of the road object. A presence probability indicative of a likelihood that observation data accurately describe the road object and an absence probability indicative of a likelihood that observation data accurately describe the road object are calculated to determine an updated value for the existence probability. A geographic database is updated in response to the comparison of the updated value for the existence probability to a threshold confidence level.

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: 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: 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: A method is presented, which comprises: obtaining or holding available at least one speed profile for at least one selected link of a travel network, wherein said at least one speed profile represents a plurality of speeds for a plurality of subsequent segments of said selected link; smoothing said at least one speed profile for said at least one selected link in a first smoothing step by: determining whether said at least one speed profile represents one or more speeds that are associated with an acceleration above a predetermined acceleration threshold or a deceleration below a predetermined deceleration threshold; for each speed that is determined to be associated with an acceleration above said acceleration threshold or a deceleration below said deceleration threshold, determining a respective adapted speed for replacing said respective speed at least partially based on speeds for one or more adjacent segments of said respective segment.

Abstract: Systems, methods, and apparatuses are provided for determining an optimal warning distance for a vehicle. For example, the geographic location of the vehicle is received along with a reaction profile of the operator of the vehicle. Based on the geographic location, a roadway condition is determined. An optimal warning distance is then determined based on a braking distance of the vehicle and the reaction profile of the operator of the vehicle. The operator of the vehicle, or a navigation system of the vehicle itself, is alerted to the roadway condition when the vehicle is located at the optimal warning distance.

Abstract: Systems and methods for using a plurality of probe reports to augment a geographic database with traffic volume data. The plurality of probe reports are identified for a road segment for a time period. A probe value is determined for the road segment for the time period based on the plurality of probe reports. A probe probability value is calculated for the road segment for the time period based on the probe value. The probe probability value is adjusted using road attributes. The adjusted probe probability value is used to estimate traffic volume. The geographic database is augmented with the estimated traffic volume.

Abstract: Precision traffic flow indication may involve receiving device data over a period of time representing a plurality traffic flow readings associated with a road involving a plurality of subsections. Calculating traffic flows and determining road subsections having similar traffic flows may also be involved. Also, indicating a different traffic flow level for a first subsection and a second subsection of road may be involved.

Abstract: Systems, methods, and apparatuses are provided for determining an optimal warning distance for a vehicle. For example, the geographic location of the vehicle is received along with a reaction profile of the operator of the vehicle. Based on the geographic location, a roadway condition is determined. An optimal warning distance is then determined based on a braking distance of the vehicle and the reaction profile of the operator of the vehicle. The operator of the vehicle, or a navigation system of the vehicle itself, is alerted to the roadway condition when the vehicle is located at the optimal warning distance.

Abstract: Systems and methods for using a plurality of probe reports to augment a geographic database with traffic volume data. The plurality of probe reports are identified for a road segment for a time period. A probe value is determined for the road segment for the time period based on the plurality of probe reports. A probe probability value is calculated for the road segment for the time period based on the probe value. The probe probability value is adjusted using road attributes. The adjusted probe probability value is used to estimate traffic volume. The geographic database is augmented with the estimated traffic volume.

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: 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: 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 plural

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 said travel network represented by said map data, a plurality of potential travel paths, wherein each potential travel path of said plurality of potential travel paths for said at least one selected link is at least partially defined by an incoming link of said travel network and an outgoing link of said travel network that are linked by said selected link and a direction of travel from said incoming link to said outgoing link on said selected link, for each potential travel path of said 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, said one or more respective probe data sets associated with said respective potential travel path of said plurality of potenti

Abstract: A method is presented, which comprises: obtaining or holding available map data representing, at least in part, a travel network, determining at least one speed profile for at least one selected link of said travel network at least partially based on speeds 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 said speeds represented by said plurality of probe data points of one or more probe data sets of said plurality of probe data sets, said one or more probe data sets associated with said selected link for which said speed profile is determined. Further presented are inter-alia corresponding apparatuses, a corresponding system and a corresponding computer program code.

Abstract: A method is presented, which comprises: obtaining or holding available at least one speed profile for at least one selected link of a travel network, wherein said at least one speed profile represents a plurality of speeds for a plurality of subsequent segments of said selected link; smoothing said at least one speed profile for said at least one selected link in a first smoothing step by: determining whether said at least one speed profile represents one or more speeds that are associated with an acceleration above a predetermined acceleration threshold or a deceleration below a predetermined deceleration threshold; for each speed that is determined to be associated with an acceleration above said acceleration threshold or a deceleration below said deceleration threshold, determining a respective adapted speed for replacing said respective speed at least partially based on speeds for one or more adjacent segments of said respective segment.

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: Systems and methods for using a plurality of probe reports to augment a geographic database with traffic volume data. The plurality of probe reports are identified for a road segment for a time period. A probe value is determined for the road segment for the time period based on the plurality of probe reports. A probe probability value is calculated for the road segment for the time period based on the probe value. The probe probability value is adjusted using road attributes. The adjusted probe probability value is used to estimate traffic volume. The geographic database is augmented with the estimated traffic volume.

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: A road furniture item or another type of road object is detected by at least one sensor. An associated geographic position associated with the road furniture item or road object is determined. After a predetermined time is reached, the geographic position is compared to a local database. A remote database is updated after the predetermined time is reached and according to the comparison with the local database. In some examples, the data indicative of the road furniture item or the road object is deleted based on a confidence level in the local database.