Here Global B.v.

Yuxin Guan

Jingwei Xu

Bruce A Bernhardt

Weimin Huang

Arnold Sheynman

Zongyi Xuan

Leon Stenneth

Advait Mohan Raut

Ian He

Joe Ciprian

Yingzhou Yu

Pradeep Maddineni

Ivan Ivanovic

Jennifer Carter

James Joseph

Mark Timms

Casey Bennett

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.

Network support for dynamic vehicle routing

The disclosure provides a system, a method, and a computer program product for updating map data. The system, for example, receives, from one or more user equipment, at least one road works observation. The at least one road works observation is associated with a road works object. Further, the system, determines a first lane and a second lane. Further, the first lane is associated with the at least one road works observation and the second lane is associated with the road works object. Further, the system determines traffic density associated with a region in vicinity of the road works object. Further, the system detects the road works zone based on the first lane, the second lane and the traffic density.

System and method for detecting a road works zone

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).

Methods and systems for predicting traffic information for at least one map tile area

The disclosure provides a system, a method, and a computer program product for updating map data. The system, for example, obtains sensor data from one or more user equipment. The sensor data is associated with a road object. Further, the system, determines a first location of a road observation sight and a second location of the road object based on a timestamp associated with the first location. Further, a distance associated with the second location of the road object and a center point of a link, is calculated. The link is a map matched link associated with the second location. Further, the system updates the map data based on the calculated distance.

System and method for updating map data

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.

Method, apparatus, and system for traffic prediction based on road segment travel time reliability

Network support for vehicle routing

Systems and methods for determining a cause of a change in driver assistance capability may be based on probe data generated by a mobile device or vehicle. The probe data is matched to a path segment. A cause of the change in driver assistance capability for the path segment is determined based on the probe data matched to the path segment. A geographic database record including the cause of the change in the driver assistance capability is output.

Autonomous driving pattern profile

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.

Method, apparatus, and system for identifying mobile work zones

An approach is provided for detecting lane departure events based on map data and probe data. The approach, for example, involves map-matching probe data to a lane of a road segment. The probe data is collected from one or more sensors of at least one vehicle and/or at least one user device that traversed the road segment. The approach also involves processing the probe data to detect at least one lane departure event. The approach further involves categorizing the at least one lane departure event as an intentional lane departure event or an unintentional lane departure event. The approach further involves creating a lane departure warning message for the road segment based on the at least one categorized lane departure event, and/or road segments associated with multiple lane departure warning messages within a certain time period. The approach further involves providing the lane departure warning message as an output.

Method, apparatus, and system for detecting lane departure events based on probe data and sensor data

A method, apparatus and computer program product are provided to estimate the location of a vehicle based at least in part upon two or more road signs that are depicted by one or more images captured by one or more image capture devices onboard the vehicle. By relying at least in part upon the two or more road signs, the location of the vehicle may be refined or otherwise estimated with enhanced accuracy, such as in instances in which there is an inability to maintain a line-of-sight with the satellites of a satellite positioning system or otherwise in instances in which the location estimated based upon reliance on satellite or radio signals is considered insufficient. As a result, the vehicle may be navigated in a more informed and reliable manner and the relationship of the vehicle to other vehicles may be determined with greater confidence.

Method and apparatus for estimating a location of a vehicle

A system, a method, and a computer program product may be provided for generating traffic congestion estimation data of one or more lanes in a region. A system may include a memory configured to store computer program code and a processor configured to execute the computer program code to obtain image data associated with the region. The processor may be configured to determine a count of one or more first movable objects in one or lanes, based on image data, calculate a lane object static capacity of the one or more lanes, based on one or more map free flow or speed limit attributes associated with the one or more lanes and generate the traffic congestion estimation data based on count of first movable objects in the one or more lanes, the moving speed of movable objects crossing multiple image frames, the lane object static capacity of lanes.

System and method to generate traffic congestion estimation data for calculation of traffic condition in a region

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.

Method, apparatus, and system for detecting lane-level slowdown events

A method, a system, and a computer program product may be provided for generating indoor emergency route plan for an infrastructure. The method includes obtaining indoor map data of the infrastructure, where the indoor map data comprises one or more first exit routes to one or more exits in the infrastructure. The method further includes obtaining first location data associated with an indoor emergency event. The method further includes generating one or more second exit routes to the one or more exits, based on the first location data and the one or more first exit routes. The method further includes providing the one or more second exit routes to one or more subjects.

System and method for indoor route navigation

A method for providing alerts for a traffic slowdown includes receiving location data for at least a first vehicle of a plurality of vehicles, map matching the location data for at least the first vehicle to a road network, calculating an approaching speed for at least the first vehicle at a first time, calculating a final speed for at least the first vehicle at a second time, and generating a traffic slowdown message in response to the approaching speed and the final speed. The traffic slowdown message includes at least one characteristic of the traffic slowdown.

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Chicago, IL, United States of America

Yuxin Guan