摘要:
The disclosure provides a method, a system, and a computer program product for predicting traffic information for at least one map tile area. The method comprises obtaining probe data and map attribute data for each of a plurality of road segments in the at least one map tile area. The method may include generating current traffic condition data for each of the plurality of road segments in the at least one map tile area based on the obtained probe data and the obtained map attribute data. The method may further include obtaining historical traffic pattern data associated with each of the plurality of road segments in the at least one map tile area. The method may further include generating a tile based traffic index (TTI) for the at least one map tile area based on aggregating the current traffic condition data and the historical traffic pattern data of the plurality of road segments in the at least one map tile area and providing TTI and predicting the traffic information for the at least one map tile area based on the generated tile based traffic index (TTI).
摘要:
A system, a method, and a computer program product may be provided for generating traffic congestion data for a road in a region. The system may include a memory configured to store computer executable instructions and a processor configured to execute the computer executable instructions to obtain probe data and map data. The processor may be further configured to generate traffic condition data for the road. The processor may be further configured to determine speed changes data associated with one or more vehicles. The processor may be further configured to calculate congestion length, time period, congestion speed for the one or more vehicles to reach a non-congestion state from a congestion state. The processor may be further configured to generate the traffic congestion data, based on the speed changes data, congestion length, a time period and congestion speed associated with the one or more vehicles on the road.
摘要:
An approach is provided for determining road work zone travel time reliability based on vehicle sensor data. The approach involves, for instance, aggregating telematic data generated by vehicles traveling within a geographic area, to detect a road work zone and/or active time period(s) thereof. The approach also involves identifying a start location and an end location of the road work zone. The approach further involves identifying a starting time point when one of the vehicles approaching the start location and an end time point when the vehicle passes the end location. The approach further involves calculating a time difference between the start and end time points as a travel time through the road work zone. The approach further involves aggregating the vehicle travel times, to compute work zone travel time reliability index(es) for the road work zone. The approach further involves providing the travel time reliability index(es) as an output.
摘要:
A method, a system, and a computer program product are provided for predicting road closure in a region. The method comprises obtaining, probe data, such as sensor data, and map data, for the region. The method may include detecting a change in speed of a one or more vehicle on a road, based on the obtained probe data and the obtained map data for the region, wherein the change in speed is associated with a slowdown event associated with the one or more vehicles. The method may include identifying a vehicle event on the road based on the detected change in speed of the one or more vehicles, wherein the vehicle event is associated with a location corresponding to a matching trajectory of the one or more vehicles and predicting the road closure based on the identified vehicle event.
摘要:
An approach is provided for identifying and characterizing mobile work zones (e.g., roadway striping, pothole filling, tree trimming, etc.). The approach, for example, involves processing probe data at a lane level to determine at least one forward forming shockwave associated with a congestion front of a mobile roadwork zone on at least one lane. The approach also involves providing data indicating the mobile roadwork zone as an output. The approach further involves determining a propagation rate of the mobile roadwork zone. The approach further involves determining a congestion recovery speed, where the congestion is caused by the mobile roadwork zone.
摘要:
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.
摘要:
An approach is provided for suppressing false positive reports of detectable road events. For example, the approach involves receiving a detection of a roadwork zone and a time-to-live period associated with the roadwork zone. The approach also involves receiving a subsequent observation of the roadwork zone. The subsequent observation is generated based on sensor data captured by at least one sensor associated with at least one vehicle traveling within proximity of the roadwork zone. The approach further involves classifying the subsequent observation as a false positive observation based on determining that the subsequent observation is created after the time-to-live period. The approach further involves initiating a blacklisting of the roadwork zone as a false positive roadwork zone based on the false positive observation. The approach further involves providing the blacklisting as an output.
摘要:
Embodiments described herein relate to anonymizing sensor data through the use of map data. Methods include: receiving sensor data defining a trajectory; map-matching the sensor data using a map-matching algorithm to a plurality of road segments of a map database to generate a sequence of map-matched sensor data elements; determining a first value representing anonymization associated with a start of the trajectory; determining a second value representing anonymization associated with an end of the trajectory; determining first map-matched sensor data elements at the start of the trajectory to be redacted based on the first value; determining second map-matched sensor data elements at the end of the trajectory to be redacted based on the second value; and transmitting sensor data associated with elements in the sequence of map-matched sensor data elements between the first map-matched sensor data elements and the second map-matched sensor data elements.
摘要:
An approach is provided for determining bicycle lane deviations for autonomous vehicle warning or operation. The approach, for example, involves retrieving probe data associated with a bicycle transportation mode. The approach also involves determining a plurality of probe points of the probe data that are map-matched outside of a bicycle lane. The approach further involves clustering the plurality of probe points into at least one location cluster. The approach further involves storing the one or more location clusters in a geographic database as respective one or more hazard areas where a plurality of bicycles deviates outside of the bicycle lane. By way of example, the approach can further involve using the at least one location cluster to perform at least one of providing a warning message or determining a driving parameter for an autonomous vehicle.
摘要:
An approach is provided for traffic data blending based on road segment travel time reliability during traffic prediction. The approach involves, for instance, retrieving real-time traffic information and/or historical traffic information for each road segment within a geographic area. The approach also involves aggregating traffic flow speed data in the real-time traffic information to compute traffic pattern data for each road segment. The traffic pattern data includes static speed data of each said road segment. The approach further involves aggregating traffic flow speed data in the historical traffic information to compute travel time reliability index metric(s) for each said road segment. The approach further involves determining, based on the travel time reliability index metric(s), to use the traffic pattern data, a mean, or a percentile of a road segment travel time distribution in the historical traffic information for traffic prediction associated with each said road segment.