Site-specific traffic analysis including identification of a traffic path
A device for site-specific traffic analysis includes: a radar sensor at a traffic space; and an evaluation unit configured to (i) ascertain object trajectories from chronological sequences of object positions of respective objects detected by the radar sensor and moving in the traffic space, (ii) identify the location of at least one traffic path based on a concentration of object trajectories, and (iii) assign further detected objects to a respective traffic path whose location has been identified.
1. A device for site-specific traffic analysis, comprising:
at least one radar sensor monitoring a traffic space; and
an evaluation unit configured to: (i) ascertain object trajectories from respective chronological sequences of object positions of respective objects detected by the radar sensor and moving in the traffic space, (ii) identify the location of at least one traffic path based on a respective concentration of the object trajectories, and (iii) assign further detected objects to the at least one traffic path whose location has been identified,
wherein:
the evaluation unit identifies a first concentration of a first set of the object trajectories,
the evaluation unit identifies a second concentration of a second set of the object trajectories,
at least some of the object trajectories of the first concentration are traveled by the objects corresponding thereto at different times from each other,
at least some of the object trajectories of the second concentration are traveled by the objects corresponding thereto at different times from each other,
the object trajectories of the first concentration are closer to one another in location than they are to the object trajectories of the second concentration,
the object trajectories of the second concentration are closer to one another in location than they are to the object trajectories of the first concentration,
the evaluation unit infers a first traffic path from the first concentration, and
the evaluation unit infers a second traffic path from the second concentration.
2. The device as recited in claim 1 , wherein the type of the at least one traffic path is selected from a traffic lane, a walkway, and a track.
3. The device as recited in claim 2 , wherein the evaluation unit is configured to carry out a summarizing evaluation of data for multiple objects assigned to the same traffic path for the determination of at least one traffic parameter selected from an average speed, a minimal speed, a minimal distance between the objects, an average distance between the objects, a maximal distance between the objects, a traffic flow and a traffic density.
4. The device as recited in claim 3 , wherein, based on detected object speeds of multiple objects assigned to the selected traffic path in the form of a traffic lane, the evaluation unit is configured to evaluate a traffic situation assigned to the selected traffic lane with respect to a risk of congestion, and classify the risk of congestion associated with the traffic situation into one of at least three classes.
5. The device as recited in claim 3 , wherein the at least one radar sensor includes a wide angle radar sensor having a stationary antenna array, whose field of vision includes an azimuth angle range of at least 90°.
6. The device as recited in claim 3 , wherein the at least one radar sensor includes an FMCW (frequency modulated continuous wave) radar sensor configured to determine an object position and an object speed of a detected object.
7. The device as recited in claim 3 , wherein the evaluation unit is configured to: (i) identify the location of multiple traffic paths, and (ii) assign further detected objects to a respective traffic path whose location has been identified.
8. The device as recited in claim 2 , wherein the evaluation unit is configured to classify objects which are detected by the radar sensor and moving in the traffic space based on object reflections associated with the respective objects, wherein the detected objects are classified into object classes of at least one of different sizes and different types, and wherein passenger cars and persons are assigned to different object classes.
9. The device as recited in claim 8 , wherein the evaluation unit is configured to identify the location of the at least one traffic path based on a concentration of object trajectories related to objects of a selected object class.
10. The device as recited in claim 1 , wherein:
the evaluation unit is configured to: (a) determine object expansions based on object reflections detected by the radar sensor and associated with the respective detected objects, and (b) identify the location and the type of the at least one traffic path based on the concentration of the object trajectories and based on the object expansions of the objects assigned to the respective object trajectories, and
at least one of the object expansions is a horizontal expansion determined by assigning multiple reflection centers to an associated one of the objects.
11. A method for traffic analysis using positioning data of at least one site-specific radar sensor monitoring a traffic space, comprising:
ascertaining object trajectories from chronological sequences of object positions of respective objects detected by the radar sensor and moving in the traffic space;
identifying the location of at least one traffic path based on a concentration of the object trajectories;
assigning respective objects detected by the at least one radar sensor to a respective traffic path whose location has been identified;
identifying a first concentration of a first set of the object trajectories,
identifying a second concentration of a second set of the object trajectories,
at least some of the object trajectories of the first concentration are traveled by the objects corresponding thereto at different times from each other,
at least some of the object trajectories of the second concentration are traveled by the objects corresponding thereto at different times from each other,
the object trajectories of the first concentration are closer to one another in location than they are to the object trajectories of the second concentration,
the object trajectories of the second concentration are closer to one another in location than they are to the object trajectories of the first concentration,
inferring a first traffic path from the first concentration, and
inferring a second traffic path from the second concentration.
12. The method as recited in claim 11 , wherein:
the evaluation unit is configured to: (a) determine object expansions based on object reflections detected by the radar sensor and associated with the respective detected objects, and (b) identify the location and the type of the at least one traffic path based on the concentration of the object trajectories and based on the object expansions of the objects assigned to the respective object trajectories, and
at least one of the object expansions is a horizontal expansion determined by assigning multiple reflection centers to an associated one of the objects.