Abstract: A method, a system, and a computer program product are provided for updating one or more attributes of a learned road sign (LRS). The system, for example, comprising at least one non-transitory memory configured to store computer program code instructions; and at least one processor is configured to execute the computer program code instructions to obtain sensor data associated with the LRS and determine a plurality of first downstream links associated with the LRS, based on the sensor data. Further, the at least one processor is configured to select a candidate downstream link from the plurality of first downstream links based on a heading difference between the LRS and each of the plurality of first downstream link and to update the one or more attributes of the LRS, based on the candidate downstream link.

Abstract: A method, system, and computer program product is provided, for example, for filtering road signs. The method comprises receiving a road sign observation information from a vehicle on a link. The road sign information includes at least a location of the vehicle. The method further comprises retrieving a sign file information from a database. The sign file information includes location of a plurality of VSS gantries in a geographical region. The method further includes filtering the road sign observation information if the location of the vehicle is within a predetermined distance threshold from at least one VSS gantry from the plurality of VSS gantries in the geographical region.

Abstract: Dangerous driving events may be reported by detecting an occurrence of a dangerous event relating to the operation of a vehicle. A notification message of the dangerous event may be generated involving a time of occurrence of the dangerous event, a location of the dangerous event, and an event type of a plurality of event types for the dangerous event. The notification message may then be transmitted to communicate the occurrence dangerous driving event and information related to the dangerous driving event.

Abstract: An approach is provided for providing geographic delivery location for aerial package delivery. The approach involves determining building footprint information for at least one building associated with at least one geographic address. The approach also involves determining source data associated with the at least one building, the at least one geographic address, or a combination thereof. The approach further involves processing and/or facilitating a processing of the building footprint information and the source data to determine one or more entrances associated with the at least one building. The approach also involves processing and/or facilitating a processing of the source data associated with the one or more entrances to determine one or more delivery surfaces for the at least one geographic address.

Abstract: An approach is provided for propagating learned traffic sign data. The approach involves, for example, determining a road link to which learned traffic sign data has been assigned. The approach also involves identifying one or more downstream links connected to the road link to which no learned traffic sign data has been assigned. The approach further involves propagating the learned traffic sign data of the road link to the identified one or more downstream links.

Abstract: A vehicle apparatus, for example, receives map data comprising a sensor quality index table; accesses the sensor quality index table to determine an expected sensor effectiveness of a sensor onboard a vehicle along at least a portion of a planned route based on current and/or expected driving conditions; and responsive to determining that the expected sensor effectiveness for the at least one sensor satisfies a threshold requirement, perform a low sensor quality mitigation function. The vehicle apparatus is onboard the vehicle and is in communication with the sensor onboard the vehicle. The sensor quality index table may be generated by a network apparatus based on a plurality of sensor quality communications, generated by probe apparatuses, that are partitioned based on location and timestamp. Sensor quality index tables may be aggregated to generate driving condition tables.

Abstract: Various aspects of a system, a method, and a computer program product for generation of roadwork extension data of a roadwork zone are disclosed herein. In accordance with an embodiment, the system includes a memory and a processor. The processor may be configured to obtain speed funnel data of one or more speed funnels. The processor may be configured to determine a plurality of candidate roadwork links, based on the speed funnel data. The processor may be configured to obtain vehicular trajectory data corresponding to the plurality of candidate roadwork links. The processor may be further configured to determine at least one qualified roadwork link from the plurality of candidate roadwork links, based on the vehicular trajectory data and speed threshold data of the plurality of candidate roadwork links. The processor may be further configured to generate the roadwork extension data based on the at least one qualified roadwork link.

Abstract: The disclosure provides a method, a system, and a computer program product in accordance with at least one example embodiment for generating lane change action data for an autonomous vehicle. The solution includes a method of identifying one or more road objects and determining road object data. The method further includes determining drive condition data corresponding to an environment in which the autonomous vehicle is located. Furthermore, a step of generating lane change action data is triggered based on the determined drive condition data. The generated lane change action data instructs the autonomous vehicle on whether or not to change a lane in an overtake prohibition zone.

Abstract: An approach is provided for traffic sign learning. The approach involves, for example, receiving a plurality of traffic sign observations generated using sensor data collected from a plurality of vehicles. Each of the plurality of traffic sign observations includes location data and sign property data for an observed traffic sign corresponding to said each of the plurality of traffic sign observations. The approach also involves clustering the plurality of traffic speed sign observations into at least one cluster based on the location data and the sign property data. The approach further involves determining a learned sign for the at least one cluster, and determining a learned sign value indicated by the learned sign based on the location data, the sign property data, or a combination of the plurality of traffic sign observations aggregated in the at least one cluster.

Abstract: Dangerous driving events may be reported by detecting an occurrence of a dangerous event relating to the operation of a vehicle. A notification message of the dangerous event may be generated involving a time of occurrence of the dangerous event, a location of the dangerous event, and an event type of a plurality of event types for the dangerous event. The notification message may then be transmitted to communicate the occurrence dangerous driving event and information related to the dangerous driving event.

Abstract: A method, system, and computer program product is provided, for example, for identifying a type of road sign. The method may include receiving a plurality of observations for the road sign. The method may also include clustering the plurality of observations based on at least a location and a heading of the road sign. Further, the method may include filtering the plurality of observations in the cluster based on a speed value and a lateral offset of each of the plurality of observations. Also, the method may include identifying the type of the road sign based on the filtering.

Abstract: A method, apparatus and computer program products are provided for matching a transit vehicle to a trip. An example method may comprise receiving probe data, the probe data comprising at least one of identity information, location information, or time information corresponding to the transit vehicle, causing placement of the probe data into a queue, wherein a placement in the queue is dependent on how much of the trip the transit vehicle has completed as indicated by the probe data, and causing assignment of the transit vehicle to a single candidate trip from among a set of candidate trips comprising a scheduled arrival time at a next closest stop closest to a calculated arrival time.

Abstract: An approach is provided for mapping vulnerable road users. The approach, for example, involves receiving sensor data from at least one vehicle indicating a presence of at least one vulnerable road user. The sensor data indicates a detected location of the at least one vulnerable road user. The approach also involves map matching the detected location of the at least one vulnerable road user to at least one road node, link, and/or a segment thereof of a geographic database. The approach further involves generating a vulnerable road user attribute to indicate a probability of the presence of the at least one vulnerable road user based on the sensor data. The approach further involves storing the vulnerable road user attribute in the geographic database as an attribute of the at least one road node, link, and/or segment.

Abstract: An apparatus is configured to perform a method for generating warning polygons for weather events in a geographic region. The method includes receiving measurement data from one or more sensors, identifying at least one location from the measurement data, identifying a map tile within a predetermined distance to the at least one location, generating a map tile cluster based on analysis of the at least one map tile, accessing an end-use constraint of the end-use device, the end-use constraint indicative of a constraint in processing on the end-use device, and calculating the warning polygon based on the map tile cluster and based on the end-use constraint such that the polygon intersects the geographic region.

Abstract: A method, a system, and a computer program product are provided for validating one or more routes between at least a first road object and a second road object. The system, for example, comprises at least one non-transitory memory configured to store computer program code instructions; and at least one processor configured to execute the computer program code instructions. The processor may be configured to obtain at least a first map-matched link corresponding to the first road object and a second map-matched link corresponding to the second road object, and search for one or more downstream links, based on a plurality of first link attributes of the first map-matched link. The processor may be further configured to determine whether the second map-matched link is one among the one or more searched downstream links to obtain a result, and validate the one or more routes based on the result.

Abstract: A method, system, and computer program product is provided, for example, for matching a road sign observation information on a map application. The method may include receiving the road sign observation information. The method may further include identifying a plurality of candidate links based on a first distance between a location of the road sign observation information detection and a plurality of shape points. Additionally, the method may include calculating a heading difference between each of the plurality of candidate links and the location of the road sign observation information detection. Furthermore, the method may include identifying one or more qualified links from the plurality of candidate links, wherein the heading difference between each of the one or more qualified links from the plurality of candidate links and the location of the road sign observation information detection is within a predetermined heading difference threshold.

Abstract: A method, system and computer program product for determining a positional offset associated with a location of a road sign are disclosed herein. The method comprises obtaining a first plurality of road sign observations of the road sign captured by a plurality of vehicles, wherein the first plurality of road sign observations comprise location data of the plurality of vehicles, heading data of the plurality of vehicles, and speed data of the plurality of vehicles. The method further comprises computing, by a processor, a plurality of longitudinal offsets between at least a second plurality of road sign observations of the first plurality of road sign observations and ground truth data associated with the road sign.

Abstract: A method, a system, and a computer program for identification of at least one road work extension in a geographical location are provided. The method includes, for example, the process of building and accessing a map for the geographic location curated with the marking of one or more road work zones corresponding to the at least one road work extensions. To calculate road work extension, the method includes obtaining a plurality of lane markings on a road work link and determine a start and an end offset of at least one link using obtained lane marking observations. Further, the method includes generating the road work extension data comprising co-ordinates of each of the start position and the end position of the road work extension, based on the determined link start offset and the link end offset.

Abstract: A computer-implemented method for validating the existence of roadwork is provided. The method comprises, for example, retrieving information for at least one segment of a road captured by a plurality of vehicles. The information comprises at least two of lane marking data, speed funnel presence data, and traffic behavior change data. The method also comprises generating a confidence score based on analysis of the retrieved information. The method further comprises validating the existence of the roadwork on the at least one segment of the road based on the generated confidence score.

Abstract: A method, a system, and a computer program product are provided for determining roadwork extension data for identification of at least one roadwork extension. The method, for example, includes clustering a first plurality of lane marking observations captured by a plurality of vehicles, based on a lane marking location and a lane marking heading of each of the first plurality of lane marking observations to generate at least one lane marking cluster and map-matching the lane marking cluster to one or more links to obtain one or more map-matched links. The method further includes searching for one or more missing links associated with each of the map-matched links based on link attributes of the map-matched links and a distance threshold and generating the roadwork extension data based on the map matched links and the missing links.