Abstract:
An approach is provided for state classification for a travel segment with multi-modal speed profiles. A traffic processing platform processes and/or facilitates a processing of probe data associated with at least one travel segment to determine that probe data indicates a plurality of speed profiles. The plurality of speed profiles represent one or more observed clusters of speed states. The traffic processing platform also determine that the at least one travel segment exhibits a multi-modality with respect to travel speed based, at least in part, on the plurality of speed profiles. The traffic processing platform then determines at least one likely sequence of speed states for traversing the at least one travel segment based, at least in part, on the one or more observed clusters of speed states and state transition probability information, wherein the state transition probability information represents one or more probabilities for transitioning among the plurality of speed states and causes, at least in part, a classification of at least one hidden state of the at least one travel segment based, at least in part, on the at least one likely sequence of speed states.
Abstract:
An approach is provided for accurate travel time prediction. The approach involves, for example, determining probe data collected within a threshold proximity of a vehicle location and a pickup location. The probe data may be collected, for example, from a location sensor of at least one probe vehicle that has previously traversed the vehicle location and the pickup location. The approach also involves processing the probe data to identify a travel time of a route taken by the at least one probe vehicle from the vehicle location to the pickup location. The approach also involves providing the travel time as an output indicating a wait time for a vehicle at the vehicle location to reach the pickup location.
Abstract:
A method, apparatus, and non-transitory computer readable storage medium for traffic report certainty estimation. The approach may include determining at least one data input to a traffic model for generating a traffic report estimation for a road segment. The approach may also involve determining at least one input characteristic value associated with the at least one data input based, at least in part, on probe data collected from one or more sensors of at least one probe device. The approach may further involve determining a coefficient of certainty value from a certainty table based on the at least one input characteristic value, wherein the certainty table respectively maps one or more value intervals of the at least one input characteristic value to a pre-assigned coefficient of certainty value, and providing the coefficient of certainty value as an output associated with the traffic report.
Abstract:
The disclosure provides a traffic pattern data calculation system, a method and a computer program product for calculating traffic pattern data. The traffic pattern data calculation system is configured to receive, for a road segment, historical traffic data and complementary data, for a predefined time window. The traffic pattern data calculation system is configured to extract from the received historical traffic data and the complementary data, secondary traffic data based on a filtering criterion. The traffic pattern data calculation system is configured to calculate the traffic pattern data for the road segment based on the extracted secondary traffic data. In addition, the traffic pattern data calculation system is configured to update a map database with the traffic pattern data of the road segment based on the calculation.
Abstract:
A method, apparatus, and computer program product are provided for evaluating traffic conditions across a plurality of lanes to determine whether it is advantageous to travel in the restricted travel lane. Methods may include: receiving a plurality of probe data points, each probe data point received from a probe apparatus of a plurality of probe apparatuses; map-matching the probe data points of the plurality of probe apparatuses to a road segment of a road network; determining a distance of each probe data point from a centerline of the road segment; determining a range of distances for the probe data points from the centerline of the road segment; dividing the range of distances into a predefined number of spatial bins; identifying a speed associated with each spatial bin; and determining a restricted travel lane benefit based on an analysis of the speeds of each spatial bin.
Abstract:
A method, apparatus, and computer program product are provided for detecting changes in road traffic conditions based on vehicle probe data. Methods may include: receiving a plurality of probe data points; map-matching probe data points of the plurality of probe apparatuses to road segments of a candidate road of a road networks; for a plurality of time epochs, cluster probe speeds map-matched to road segments of the candidate road according to a clustering algorithm; establishing centroid speeds corresponding to clusters of probe speeds; spatially grouping said road segments according to probe-to-cluster mapping; and providing a road traffic condition change message in response to a difference between centroid speeds along the candidate road exceeding a predefined threshold, where the road traffic condition change message includes at least information about said road segment groups that correspond to said clusters.
Abstract:
A method, apparatus, and computer program product are provided for detecting changes in road traffic conditions based on vehicle probe data. Methods may include: receiving a plurality of probe data points; map-matching probe data points of the plurality of probe apparatuses to road segments of a candidate road of a road networks; for a plurality of time epochs, cluster probe speeds map-matched to road segments of the candidate road according to a clustering algorithm; establishing centroid speeds corresponding to clusters of probe speeds; spatially grouping said road segments according to probe-to-cluster mapping; and providing a road traffic condition change message in response to a difference between centroid speeds along the candidate road exceeding a predefined threshold, where the road traffic condition change message includes at least information about said road segment groups that correspond to said clusters.