Abstract: Methods and systems for estimating a number of people at a point of interest using vehicle data are provided. In some examples, vehicle data is received, from a plurality of vehicles, that corresponds to a geographic boundary encompassing a point of interest. From the vehicle data, a first subset of data corresponding to door sensor information is extracted. Based on the first subset of data, an estimated number of people within the geographic boundary, during a specified period of time, is determined. An indication corresponding to the estimated number of people within the geographic boundary is generated.

Abstract: Methods and systems for identifying vehicle filling stations and generating related visual indications are provided. In some examples, vehicle data is received that corresponds to a plurality of vehicles. From the vehicle data, a first subset of data is extracted that corresponds to location data and one of a fuel or charge level state change of each of the plurality of vehicles. One or more locations of one or more of the plurality of vehicles are identified, based on the location data, when the fuel or charge level state change corresponds to an increase in a fuel or charge level of the one or more of the plurality of vehicles. One or more visual indications are generated that correspond to the identified one or more locations.

Abstract: Methods and systems for estimating a number of people at a point of interest using vehicle data are provided. In some examples, vehicle data is received, from a plurality of vehicles, that corresponds to a geographic boundary encompassing a point of interest. From the vehicle data, a first subset of data corresponding to door sensor information is extracted. Based on the first subset of data, an estimated number of people within the geographic boundary, during a specified period of time, is determined. An indication corresponding to the estimated number of people within the geographic boundary is generated.

Abstract: Methods and systems for generating traffic data are provided. An example method includes receiving one or more routes from a first location to a second location, receiving vehicle data along each of the one or more routes, and segmenting the one or more routes, based on a plurality of grid spaces on a map. The method further includes determining, based on the vehicle data, a first algorithm corresponding to a first grid space from the plurality of grid spaces and a second traffic algorithm corresponding to a second grid space from the plurality of grid spaces. The method further includes generating traffic data, along the one or more routes, using the first algorithm and the second algorithm.

Abstract: Methods for providing a highly assisted driving (HAD) service include: (a) transmitting telematics sensor data from a vehicle to a remote first server; (b) transmitting at least a portion of the telematics sensor data from the remote first server to a remote second server, wherein the remote second server is configured to execute a HAD application using received telematics sensor data, and wherein the HAD application is configured to output a HAD service result; and (c) transmitting the HAD service result from the remote second server to a client. Apparatuses for providing a HAD service are described.

Abstract: Methods for providing a highly assisted driving (HAD) service include: (a) transmitting telematics sensor data from a vehicle to a remote first server; (b) transmitting at least a portion of the telematics sensor data from the remote first server to a remote second server, wherein the remote second server is configured to execute a HAD application using received telematics sensor data, and wherein the HAD application is configured to output a HAD service result; and (c) transmitting the HAD service result from the remote second server to a client. Apparatuses for providing a HAD service are described.

Abstract: Systems, methods, and apparatuses are disclosed for predicting or estimating the value of a variable speed sign (VSS). A variable speed sign is identified. Probe data is collected at one or more vehicles in proximity to the variable speed sign. The speeds of the vehicles are included in or derived from the probe data. A statistical analysis is performed on the probe data. A speed limit value for the variable speed sign is determined based on the statistical analysis.

Abstract: Methods, apparatus, systems, and computer program products are provided for selecting a weather estimation algorithm and providing a weather estimate based thereon. In an example embodiment a method is provided that comprises receiving request location information by a processor, identifying one or more weather stations, and determining a distance from at least one of the one or more weather stations to a physical location indicated by the request location information. Based at least in part on the at least one determined distance, a weather estimation algorithm is selected. A weather estimation is determined for the physical location indicated by the request location information based at least on the selected weather estimation algorithm.

Abstract: A method comprising receiving sensor information from at least one sensor, determining that a vehicle was involved in an accident based, at least in part, on the sensor information, determining that an informative notification criteria is satisfied based, at least in part, on the accident, sending an informative notification in response to the determination that the informative notification criteria is satisfied, determining whether a remedial request criteria is satisfied based, at least in part, on the accident and the sensor information, in circumstances where the remedial request criteria is satisfied, sending a remedial request based, at least in part, on the satisfaction of the remedial request criteria, and in circumstances where the remedial request criteria fails to be satisfied, precluding sending of the remedial request based, at least in part, on the failure of satisfaction of the remedial request criteria is disclosed.

Abstract: An approach is provided for determining safety levels for one or more locations based, at least in part, on signage information. The approach involves determining signage information associated with at least one location. The approach also involves causing, at least in part, a creation of at least one predictor model based, at least in part, on the signage information and one or more attributes associated with the at least one location. The approach also involves causing, at least in part, a classification of the at least one location, one or more other locations, or a combination thereof according to one or more safety levels using, at least in part, the at least one predictor model.

Abstract: Systems, methods, and apparatuses are disclosed for predicting the value of a variable speed sign (VSS) and determining the predicted value's associated confidence level. Highly assisted driving (HAD) vehicles may read or capture images of the VSS. The speed limit values, images, or videos of the VSS are reported and received by a network and database for analysis. A predicted speed limit value is determined for the variable speed sign from at least a portion of the received traffic data. A confidence level is also calculated for the predicted speed limit value for the variable speed sign.

Abstract: Methods for providing a highly assisted driving (HAD) service include: (a) transmitting telematics sensor data from a vehicle to a remote first server; (b) transmitting at least a portion of the telematics sensor data from the remote first server to a remote second server, wherein the remote second server is configured to execute a HAD application using received telematics sensor data, and wherein the HAD application is configured to output a HAD service result; and (c) transmitting the HAD service result from the remote second server to a client. Apparatuses for providing a HAD service are described.

Abstract: Methods for providing a highly assisted driving (HAD) service include: (a) transmitting telematics sensor data from a vehicle to a remote first server; (b) transmitting at least a portion of the telematics sensor data from the remote first server to a remote second server, wherein the remote second server is configured to execute a HAD application using received telematics sensor data, and wherein the HAD application is configured to output a HAD service result; and (c) transmitting the HAD service result from the remote second server to a client. Apparatuses for providing a HAD service are described.

Abstract: Systems, methods, and apparatuses are disclosed for predicting or estimating the value of a variable speed sign (VSS). A variable speed sign is identified. Probe data is collected at one or more vehicles in proximity to the variable speed sign. The speeds of the vehicles are included in or derived from the probe data. A statistical analysis is performed on the probe data. A speed limit value for the variable speed sign is determined based on the statistical analysis.

Abstract: Systems, methods, and apparatuses are disclosed for predicting or estimating the value of a variable speed sign (VSS). A variable speed sign is identified. Probe data is collected at one or more vehicles in proximity to the variable speed sign. The speeds of the vehicles are included in or derived from the probe data. A statistical analysis is performed on the probe data. A speed limit value for the variable speed sign is determined based on the statistical analysis.

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: An approach is provided for providing map independent location-based notifications. The location-based notification platform causes an initiation of at least one spatial event request for one or more location-based notifications. The at least one spatial event request specifies at least one bounded area in which at least one device is located or to arrive. The location-based notification platform in response to the at least one spatial event request, receives at least one spatial polygon. The at least one spatial polygon represents at least one geographic area that is determined based on the at least one bounded area, and the at least one spatial polygon is associated with the one or more location-based notifications or one or more triggers for the one or more location-based notifications. The location-based notification platform then causes an overlay of the at least one spatial polygon on at least one travel network traveled by the at least one device.

Abstract: A method includes receiving information indicative of a user input, from a user, that designates a subset of contacts from a contact list or social network friend's list as a spatial avoidance list, determining an intended user location, determining a set of spatial avoidance locations such that each spatial avoidance location of the set of spatial avoidance locations corresponds with a contact location of each contact of the spatial avoidance contact list, determining that the intended user location corresponds with at least one spatial avoidance location of the set of spatial avoidance locations, and determining a different intended user location based, at least in part, on the determination that the intended user location corresponds with at least one spatial avoidance location of the set of spatial avoidance locations, such that the different intended user location fails to correspond with any spatial avoidance location of the set of spatial avoidance locations.

Abstract: A method, apparatus and computer program product are provided for weather station data usage based on weather data confidence. In the context of a method, the method includes receiving historical weather data associated with a candidate weather station and plurality of weather stations, determining distances between a candidate weather station and respective ones of the plurality of weather stations, and generating a station to station location based model of weather attribute errors associated with the distances between the candidate weather station and the respective weather stations of the plurality of weather stations.

Abstract: A method, apparatus and computer program product determine weather-related information for a respective tile associated with a geographical region. In the context of a method, at least one of weather data or radar data is received and caused to be stored in a data structure. For a respective tile, the method retrieves the at least one of the weather data or radar data from the data structure. The respective tile is one of a plurality of tiles. Each tile is associated with a respective geographical region. The method also determines weather-related information for the respective tile based upon the at least one of the weather data or radar data that was retrieved from the data structure.