Motor vehicle acceleration determining system

• US 8,645,052 B2
• Filed: 02/04/2011
• Issued: 02/04/2014
• Est. Priority Date: 02/05/2010
• Status: Active Grant

• Current Assignee: Harman Becker Automotive Systems GmbH (Samsung Electronics Co. Ltd.)
• Original Assignee: Harman Becker Automotive Systems GmbH (Samsung Electronics Co. Ltd.)
• Inventors: Pryakhin, Alexey, Kluge, Sebastian, Kunath, Peter
• Primary Examiner(s): Cheung, Mary
• Assistant Examiner(s): BRUSHABER, FREDERICK M
• Application Number:
  US13/021,145
• Publication Number:
  US 20110196817A1
• Time in Patent Office: 1,096 Days
• Field of Search: 701/24, 701/26, 701/123
• US Class Current: 701/123
• CPC Class Codes: G01C 21/26 specially adapted for navigation in a road network

Abstract

Systems and methods for analyzing acceleration as a road segment characteristic in a vehicle are provided for determining information about a route including for example, the estimated fuel consumption of the route. An example of a system includes a data storage medium for storing map data having road segments, a bus interface to a data bus for receiving measured values of a velocity or an acceleration from a velocity or acceleration sensor, a position data receiver configured to receive position data for determining a current position, and a system controller. The system controller is configured to identify a road segment associated with the current position. The system controller retrieves parameters of a probability distribution of acceleration associated with the identified road segment from the data storage medium. Updated parameters of the probability distribution of acceleration are determined from the measured values of the velocity or acceleration.

Claims

1. A method for analyzing accelerations as a road segment characteristic in a vehicle, the method comprising:

identifying a road segment from map data based on a current position;

measuring a plurality of acceleration values or a plurality of velocity values within the identified road segment;

reading stored parameter data indicative of a probability distribution of acceleration associated with the identified road segment from a memory device;

calculating updated parameter data indicative of a probability distribution of acceleration with the identified road segment using the stored parameter data and at least one of the plurality of acceleration values or the plurality of velocity values;

storing the updated parameter data indicative of the probability distribution in the memory device;

determining a reliability indicator in addition to the calculated updated parameter data; and

storing the calculated updated parameter data indicative of the probability distribution of acceleration with the reliability indicator associated with the calculated updated parameter data.

2. The method of claim 1 where the map data includes classes of road segment, the road segments of each class having identical preset road-specific criteria, the method further comprising:

identifying at least one class associated with the identified road segment; and

storing the updated parameter data indicative of the probability distribution of acceleration for the road segment or for the class associated with the identified road segment.

3. The method of claim 2 further comprising:

assigning the stored parameter data to the identified class of the road segment; and

calculating the updated parameter data for the identified class.

4. The method of claim 1 further comprising:

calculating the updated parameter data using recursion; and

using the measured acceleration values or velocity values of the identified road segment and the stored parameter data in the recursion.

5. The method of claim 1 further comprising:

calculating current parameter data indicative of a current probability distribution of acceleration from the measured plurality of acceleration values or the plurality of velocity values; and

calculating the updated parameter data indicative of the probability distribution of acceleration from the current parameter data and the stored parameter data.

6. The method of claim 1 further comprising:

assigning the stored parameter data to the road segment; and

using the stored parameter data to calculate the updated parameter data for the identified road segment.

7. The method of claim 1 further comprising:

assigning the updated parameter data indicative of the probability distribution to different traffic volumes using a traffic-related parameter of the probability distribution of accelerations, the traffic-related parameter being based on the density of the traffic within the identified road segment, the traffic-related parameter being estimated from the plurality of acceleration values or the plurality of velocity values or received traffic data.

8. The method of claim 1 further comprising:

calculating fuel consumption estimates for the identified road segment using the updated parameter data indicative of the probability distribution stored in the memory device.

9. A system for analyzing acceleration as a road segment characteristic in a vehicle comprising:

a memory device for storing map data having road segments;

a bus interface to a data bus for receiving measured values of a velocity or an acceleration from a velocity or acceleration sensor;

a position data receiver configured to receive position data for determining a current position;

a system controller configured to identify a road segment associated with the current position, to use parameter data indicative of a probability distribution of acceleration stored in the memory device where the parameter data is associated with the identified road segment, and to determine updated parameter data of the probability distribution of acceleration from the measured values of the velocity or acceleration, and to determine a reliability indicator in addition to the calculated updated parameter data, and storing the calculated updated parameter data indicative of the probability distribution of acceleration and the reliability indicator associated with the calculated updated parameter data.

10. The system of claim 9 where the system controller is configured to determine information for a route having at least the identified road segment based on the parameter data indicative of the probability distribution of acceleration.

11. The system of claim 10 where the information determined by the system controller includes an estimated fuel consumption for the route.

12. The system of claim 9 where:

the system controller retrieves the parameter data indicative of the probability distribution of acceleration which are associated with the road segment of the current position; and

the system controller is configured to control a drive of the vehicle on the basis of the retrieved parameter data indicative of the probability distribution of acceleration.

13. The system of claim 9 where:

the parameter data indicative of the probability distribution of acceleration are either assigned to a specific road segment, or to a class of road segments, the map data having classes of road segments and the road segments that meet a predetermined road-specific criteria associated with each class.

14. The system of claim 9 where:

the system controller is configured to evaluate measured values of the velocity or the acceleration in the identified road segment;

the system controller is configured to calculate updated parameter data indicative of a probability distribution of acceleration based on the parameter data stored in the memory device, and on measured values of the velocity or the acceleration within the road segment; and

the system controller is configured to store the calculated updated parameter data indicative of the probability distribution of acceleration, the updated parameter data being assigned to the identified road segment.

15. The system of claim 9 where the system controller is configured to determine the probability distribution of acceleration according to any multidimensional probability distribution function.

16. The system of claim 15 where the multidimensional probability distribution function is either a normal distribution or a Laplace distribution.

17. The system of claim 9 where the position data receiver comprises a GPS sensor.

18. The system of claim 9 where the bus interface comprises an interface to a CAN bus.