System and method for reducing driving risk with hindsight
A system and method for computer assisted event based reconstruction and forensic analysis of vehicle accidents is provided. The system comprises an event capture device that records audio, video, and other information that collectively comprise one or more events related to a vehicle accident. The event data, including the audio, video, and other related information, is provided to an evaluation server where it is stored in a database for forensic analysis of the events comprising the vehicle accident. Event data for a specific automobile accident event is analyzed and compared to similar types of automobile accident event data in order to forensically analyze the specific event and correlate causal relationships with key elements of the event data to determine the likely cause of the accident or the factors contributing to the accident. Correlation information is also stored at the evaluation server to provide historical data points about causal relationships and key elements.
1. A method for forensic analysis of a vehicle accident, comprising:
capturing a driving event at an event capture device coupled with a vehicle, the driving event associated with a vehicle accident and comprising video data, audio data, metadata fields, and vehicle status information from before and during the vehicle accident;
providing the driving event to an evaluation server;
analyzing the driving event to determine one or more key elements related to the vehicle accident, comprising:
analyzing the video data for vehicle accident elements;
analyzing the audio data for the vehicle accident elements; and
analyzing the vehicle status information for the vehicle accident elements, wherein the vehicle status information includes speed and acceleration data before and during the accident;
determining one or more factors that contributed to a cause of the vehicle accident, comprising:
determining a first correlation relating to how often a first element of the vehicle accident elements is a first accident causal factor;
determining a second correlation relating to how often a second element of the vehicle accident elements is a second accident causal factor;
determining a third correlation relating to how often a combination of the first element and the second element is a third accident causal factor;
ranking the plurality of elements and combinations of elements; and
determining the one or more factors that contributed to the cause of the vehicle accident based on the ranked plurality of elements and the ranked combinations of elements;
providing the one or more factors to the evaluation server; and generating a report identifying one or more factors that contributed to the cause of the vehicle accident;
providing a coaching session to a driver or a group of drivers to avoid the one or more factors that contributed to the cause of the vehicle accident;
generating a report of the vehicle accident, wherein the report includes the determined one or more factors that contributed to the cause of the vehicle accident; and
outputting the report.
2. The method of claim 1 , wherein the providing of the one or more factors further comprises updating causation data in a data storage area to reflect the one or more key elements.
3. The method of claim 1 , wherein the providing of the one or more factors further comprises updating causation data in a data storage area to reflect the one or more factors.
4. A system for forensic analysis of a vehicle accident, comprising:
an event detector coupled with a vehicle, the event detector configured to capture a driving event associated with a vehicle accident, the driving event captured in response to a trigger and comprising video data, audio data, metadata fields, and vehicle status information from before and during the vehicle accident;
a communication link configured to convey the driving event from the event detector to an evaluation server;
an evaluation server configured to:
analyze the driving event to determine one or more key elements related to the vehicle accident, comprising to:
analyze the video data for vehicle accident elements;
analyze the audio data for the vehicle accident elements; and
analyze the vehicle status information for the vehicle accident elements, wherein the vehicle status information includes speed and acceleration data before and during the accident; and
determine one or more factors that contributed to a cause of the vehicle accident, comprising to:
determine a first correlation relating to how often a first element of the vehicle accident elements is a first accident causal factor;
determine a second correlation relating to how often a second element of the vehicle accident elements is a second accident causal factor;
determine a third correlation relating to how often a combination of the first element and the second element is a third accident causal factor;
rank the plurality of elements and combinations of elements; and
determine the one or more factors that contributed to the cause of the vehicle accident based on the ranked plurality of elements and the ranked combinations of elements; and
a coaching module configured to:
provide a coaching session to a driver or a group of drivers to avoid one or more factors that contributed to the cause of the vehicle accident;
generate a report of the vehicle accident, wherein the report includes the determined one or more factors that contributed to the cause of the vehicle accident; and
output the report.
5. The system of claim 4 , wherein the communication link is a wired network.
6. The system of claim 5 , wherein the wired network comprises a private network.
7. The system of claim 5 , wherein the wired network comprises a public network.
8. The system of claim 4 , wherein the communication link is a wireless network.
9. The system of claim 8 , wherein the wireless network comprises a ZigBee link.
10. The system of claim 8 , wherein the wireless network comprises a Bluetooth link.