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:
A method, apparatus and computer program product are provided to determine lane status confidence indicators of lane status predictions such as closures and/or shifting. Lane statuses and corresponding confidence indicators are determined based on probe data, such as probe data collected from vehicle and/or mobile devices traveling along a road segment. Probe data may be partitioned into clusters and compared to partitioned subsets of the probe data. Cluster stability for the segment and corresponding lane status confidence indicators can be determined based on the comparison. Accordingly, determinations of whether to transmit predicted lane statuses to another system, service, and/or user device may be made.
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, apparatuses, and methods are provided for aggregating and reporting real-time traffic conditions. Real-time traffic data for a network is collected. A request from a customer is received for a percentage of the real-time traffic data in the network, the percentage being greater than 0% and less than 100%. The real-time traffic data in the network is aggregated. The aggregated real-time traffic data is reported to the customer.
Abstract:
Probabilistic road system reporting may involve determining a probability that a section of road is congested, calculating the congestion levels for sections of road having a high probability of congestion, and providing calculated congestion levels. The high probability congestion road sections may also be subject to more frequent congestion level calculation and updating than road sections having lesser probabilities of congestion.
Abstract:
A variable speed limit is calculated based on weather. A computing device identifies an incident probability threshold indicative of an acceptable rate of incident for vehicular transportation. A weather condition indicator is determined for a road segment. The weather condition indicator describes current or future weather conditions at the road segment. The computing device calculates the variable speed limit, or a safety speed, for a vehicle traveling on the road segment based on a function of the incident probability threshold and the weather condition indicator.
Abstract:
Systems, methods, and apparatuses are provided for measuring quality in optimal navigation routes. A plurality of nodes having latitude and longitude coordinates is received for analysis. The nodes may be map matched with a road network and a traveled route of the navigation device may be determined. Alternative routes may be calculated between the origin and destination of the traveled route at a time after the traveled route is completed. Comparisons may be made between the traveled route and the alternative routes. The comparison data may be used to develop an improved traffic database or the data may be reported to a navigation device or navigation service provider.
Abstract:
A controller receives probe data from a vehicle traveling on a path segment. The probe data may be collected by a mobile device. The path segment may be a multilane roadway. The controller identifies a first lane of the path segment from the probe data. The controller associated a forked route with the first lane of the path segment. The controller calculates different traffic values for the lanes of the path segment. One traffic value may be calculated directly from speeds derived from the path data. Another traffic value may be calculated by the probe data and a historical relationship.
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:
A route is selected based on the likelihood that an incident will occur while traveling on the route. An apparatus receives request for routing to a destination and identifies alternative routes to the destination. The apparatus selects a time interval based on a current time or another future time selected by a user. A comparison is performed for incident probabilities for the alternative routes and assigned to the time interval. The apparatus selects one of the alternative routes based on the incident probabilities.