Abstract:
An approach is provided for detecting lane-level dangerous slowdown events based on probe data and/or sensor data. The approach, for example, involves splitting probe data, sensor data, or a combination thereof into at least one vehicle trajectory, wherein the data is collected from one or more vehicles traveling on a road segment. For each vehicle trajectory of the at least one vehicle trajectory, the approach also involves processing said each vehicle trajectory to detect a slowdown event based on a speed reduction greater than a threshold reduction. The approach further involves classifying a slowdown event type of the slowdown event based on a final driving location, a final driving speed, or a combination thereof of the at least one vehicle trajectory. The approach further involves providing the slowdown event, the slowdown event type, or a combination thereof as an output for the road segment.
Abstract:
A system, a method, and a computer program product for determining a sign type of a road sign are disclosed herein. The system comprises a memory configured to store computer-executable instructions and one or more processors configured to execute the instructions to obtain sensor data associated with the road sign, wherein the sensor data comprises data associated with counts of road sign observations, determine one or more features associated with the road sign, based on the obtained sensor data, and determine the sign type of the road sign, based on the one or more features.
Abstract:
Systems and methods for vehicle routing may be based on wireless network performance data. A vehicle route includes one or more path segments included in the route based on the wireless performance data. The vehicle route may be updated based on updated wireless performance data. Driving assistance features of a vehicle may be enabled by the wireless performance data, and different driving assistance features may be enabled or disabled on the vehicle route according to changes in wireless performance data. As the vehicle traverses the route, the driving assistance features may be enabled or disabled based on the wireless performance data for the path segment. The vehicle route may be updated to continue to enable a set of the driving assistance features.
Abstract:
A method, apparatus, and computer program product are provided for dynamically detecting dangerous merging situations. The method includes obtaining speed information for one or more road segments. The speed information includes lane-level traffic speed information. The method also includes determining a source speed of a source lane and a target speed of a target lane based on the speed information. The method further includes determining that a merging instance from the source lane into the target lane would be a dangerous merging situation based on a comparison of the source speed and the target speed. The method still further includes providing a signal based on the determination of a dangerous merging situation. A corresponding apparatus and computer program product are also provided.
Abstract:
Dynamic intersection map data is generated and provided. Traffic data is analyzed to identify an event. Responsive to identifying or receiving traffic data indicative of the event, it is determined whether the event affects one or more ingress or egress lanes of an intersection. Responsive to determining that the event affects at least one ingress or egress lane of an intersection, updated map data is generated for the intersection by updating map data corresponding to the at least one ingress or egress lane and, based on connection information corresponding to the at least one ingress or egress lane, further updating map data corresponding to one or more other lanes of the intersection. The updated map data is provided such that at least one vehicle apparatus receives the updated map data. The at least one vehicle apparatus uses the updated map data to perform one or more navigation functions.
Abstract:
Dynamic intersection map data is generated and provided. Traffic data is analyzed to identify an event. Responsive to identifying or receiving traffic data indicative of the event, it is determined whether the event affects one or more ingress or egress lanes of an intersection. Responsive to determining that the event affects at least one ingress or egress lane of an intersection, updated map data is generated for the intersection by updating map data corresponding to the at least one ingress or egress lane and, based on connection information corresponding to the at least one ingress or egress lane, further updating map data corresponding to one or more other lanes of the intersection. The updated map data is provided such that at least one vehicle apparatus receives the updated map data. The at least one vehicle apparatus uses the updated map data to perform one or more navigation functions.
Abstract:
A vehicle platoon control system performs techniques for controlling a platoon of vehicles through an intersection. The platoon of vehicles is controlled through receiving location data for at least a first vehicle of the platoon of vehicles, map matching the location data for the first vehicle to a road network, identifying an intersection in the road network in response to the matched location data, determining a time period for the intersection, calculating a distance to the intersection for a second vehicle of the platoon of vehicles, calculating a travel time based on the distance to the intersection for the second vehicle of the platoon of vehicles, performing a comparison of the time period for the intersection to the travel time for the second vehicle, and generating a platoon command in response to the comparison.
Abstract:
A plurality of instances of probe data are received. Each instance is received from a probe apparatus of a plurality of probe apparatuses each comprising a plurality of sensors and being onboard a vehicle. An instance comprises location information indicating a location of the corresponding probe apparatus. For each of one or more instances, a distance parameter is determined based on the location information and a road segment corresponding to the location. A set of distance parameters is defined based on the distance parameter determined for each of the one or more instances. The set of distance parameters is analyzed to identify clusters of probe data. The number of clusters identified is determined and compared to a historical number of clusters. If the number of clusters identified is less than the historical number of clusters, it is determined that there is a lane closure corresponding to the road segment.
Abstract:
A method is provided for identifying and indexing lanes of an intersection. Methods may include: determining a directionality for one or more lanes for each of two or more roadways proximate an intersection, where directionality is one of toward the intersection or away from the intersection; determining a bearing for each lane of the two or more roadways proximate the intersection, where the bearing includes a compass heading informed by the directionality; determining a lane position for each lane of the two or more roadways proximate the intersection; generating an order of the lanes using a hierarchy, where the hierarchy considers directionality first, bearing second, and lane position third; causing the generated order of the lanes to be stored in a memory, where the order of the lanes is associated with the intersection; and managing signal phase and timing of the intersection using the generated order of the lanes.
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.