Method and system for performing crash analysis of one or more vehicles

• US 9,665,995 B2
• Filed: 03/19/2015
• Issued: 05/30/2017
• Est. Priority Date: 10/18/2014
• Status: Active Grant

• Current Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Original Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Inventors: Chowdhury, Arijit, Chakravarty, Tapas, Purushothaman, Balamuralidhar
• Primary Examiner(s): Black, Thomas G
• Assistant Examiner(s): LOUIE, WAE LENNY
• Application Number:
  US14/662,338
• Publication Number:
  US 20160110931A1
• Time in Patent Office: 803 Days
• Field of Search: 701 1, 701301, 701 319, 701 322, 340 81, 702113, 705 4
• CPC Class Codes: B60R 2021/0027 Post collision measures, e.g. notifying emergency services
• CPC Class Codes: B60R 2021/01325 Vertical acceleration
• CPC Class Codes: G01M 17/00 Testing of vehicles testing fluid tightness G01M3/00; testing elastic properties of bodies or chassis, e.g. torsion-testing, G01M5/00; testing alignment of vehicle headlight devices G01M11/06; testing of engines G01M15/00
• CPC Class Codes: G01S 19/13 Receivers
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
• CPC Class Codes: G07C 5/085 using electronic data carriers
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: H04N 9/47 for sequential signals

Abstract

A method and system for crash analysis of one or more vehicles involved in a crash is disclosed. The method may comprise capturing data samples such as a plurality of GPS samples and a plurality of acceleration samples. The method may further comprise generating a trajectory. Moreover, the method may comprise segmenting the trajectory into a macro level segment and further into a micro level segment. The method may further comprise computing at least one macro level score based on the plurality of acceleration samples and the GPS samples. Based on the at least one macro level score, the method may be configured to compute a crash responsibility score for ascertaining crash responsibility.

Claims

1. A computer-implemented method for performing crash analysis of one or more vehicles involved in a crash, the method comprising:

periodically receiving, by a processor, a plurality of GPS samples associated with a vehicle;

generating, by the processor, a trajectory for the vehicle by tracing the plurality of GPS samples;

segmenting, by the processor, the trajectory into one or more macro level segments, wherein each macro level segment is segmented into one or more micro level segments;

receiving, by the processor, a plurality of acceleration samples for at least one micro level segment of each macro level segment;

computing, by the processor;

at least one micro level segment score corresponding to at least one micro level segment based upon the acceleration samples at three axes and the plurality of GPS samples, wherein the plurality of GPS samples and the plurality acceleration samples are received from a GPS sensor and a 3-axis accelerometer sensor associated with the vehicle, and

at least one macro level segment score corresponding to at least one macro level segment based upon the micro level segment score or a reference speed of the vehicle, wherein the reference speed is indicative of a speed measured corresponding to the at least one macro level segment and a macro level segment adjacent to the at least one macro level segment; and

determining, by the processor, a crash responsibility score based upon the at least one macro level score, the crash responsibility score for performing crash analysis of the vehicle, wherein the crash responsibility score represent responsibility score of each vehicle involved in the crash, and wherein the crash responsibility score comprises a numerical value within a range of 0 to 1, wherein a 0 numerical value indicates no responsibility and a 1 numerical value indicates full responsibility of the vehicle involved in the crash.

2. The computer-implemented method of claim 1, wherein the at least one micro level segment score includes at least one of a first score, a second score, and a third score, and wherein the first score is indicative of longitudinal acceleration of the vehicle, the second score is indicative of lateral acceleration of the vehicle, and the third score is indicative of vertical acceleration of the vehicle.

3. The computer-implemented method of claim 2, wherein the at least one macro level score is computed based upon summation of the first score, the second score, and the third score.

4. The computer-implemented method of claim 1, wherein the at least one micro level score, the at least one macro level score, and the crash responsibility score are displayed on the trajectory.

5. A computer-implemented system for performing crash analysis of one or more vehicles involved in a crash, the system comprising:

a processor; and

a memory coupled to the processor, wherein the processor executes a plurality of modules stored in the memory, the plurality of modules comprising;

a trajectory module configured to

periodically receive a plurality of GPS samples associated with a vehicle;

generate a trajectory for the vehicle by tracing the plurality of GPS samples; and

segment the trajectory into one or more macro level segments, wherein each macro level segment is segmented into one or more micro level segments;

a scoring module configured to

receive a plurality of acceleration samples for at least one micro level segment of each macro level segment; and

compute;

at least one micro level segment score corresponding to at least one micro level segment based upon the acceleration samples at three axes and the plurality of GPS samples, and

at least one macro level segment score corresponding to at least one macro level segment based upon the at least one micro level segment score or a reference speed of the vehicle, wherein the reference speed is indicative of a speed measured corresponding to the at least one macro level segment and a macro level segment adjacent to the at least one macro level segment; and

a crash analysis module configured to

determine a crash responsibility score based upon the at least one macro level score, the crash responsibility score for performing crash analysis of the vehicle, wherein the crash responsibility score represent responsibility score of each vehicle involved in the crash, and wherein the crash responsibility score comprises a numerical value within a range of 0 to 1, wherein a 0 numerical value indicates no responsibility and a 1 numerical value indicates full responsibility of the vehicle involved in the crash; and

wherein the processor executes the trajectory module to receive the plurality of GPS samples and the plurality acceleration samples from a GPS sensor and a 3-axis accelerometer sensor associated with the vehicle.

6. The computer-implemented system of claim 5, wherein the at least one micro level segment score includes at least one of a first score, a second score, and a third score, and wherein the first score is indicative of longitudinal acceleration of the vehicle, the second score is indicative of lateral acceleration of the vehicle, and the third score is indicative of vertical acceleration of the vehicle.

7. The computer-implemented system of claim 6, wherein the processor executes the scoring module to compute the at least one macro level score based upon summation of the first score, the second score, and the third score.

8. The computer-implemented system of claim 5, wherein the at least one micro level score, the at least one macro level score, and the crash responsibility score are displayed on the trajectory.

9. A non-transitory computer readable medium embodying a program executable in a computing device for crash analysis of one or more vehicles involved in a crash, the program comprising:

a program code for periodically receiving a plurality of GPS samples associated with a vehicle;

a program code generating a trajectory for the vehicle by tracing the plurality of GPS samples;

a program code for segmenting the trajectory into one or more macro level segments, wherein each macro level segment is segmented into one or more micro level segments;

a program code for receiving a plurality of acceleration samples for at least one micro level segment of each macro level segment;

a program code for computing;

at least one micro level segment score corresponding to at least one micro level segment based upon the acceleration samples at three axes and the plurality of GPS samples, wherein the program further comprises a program code to receive the plurality of GPS samples and the plurality acceleration samples from a GPS sensor and a 3-axis accelerometer sensor associated with the vehicle, and

at least one macro level segment score corresponding to at least one macro level segment based upon the micro level segment score or a reference speed of the vehicle, wherein the reference speed is indicative of a speed measured corresponding to the at least one macro level segment and a macro level segment adjacent to the at least one macro level segment; and

a program code for determining a crash responsibility score based upon the at least one macro level score, the crash responsibility score for performing crash analysis of the vehicle, wherein the crash responsibility score represent responsibility score of each vehicle involved in the crash, and wherein the crash responsibility score comprises a numerical value within a range of 0 to 1, wherein a 0 numerical value indicates no responsibility and a 1 numerical value indicates full responsibility of the vehicle involved in the crash.

10. The medium of claim 9, wherein the at least one micro level segment score includes at least one of a first score, a second score, and a third score, and wherein the first score is indicative of longitudinal acceleration of the vehicle, the second score is indicative of lateral acceleration of the vehicle, and the third score is indicative of vertical acceleration of the vehicle.

11. The medium of claim 10, wherein the program further comprises a program code to compute the at least one macro level score based upon summation of the first score, the second score, and the third score.

12. The medium of claim 9, wherein the at least one micro level score, the at least one macro level score, and the crash responsibility score are displayed on the trajectory.