Route Risk Mitigation

US2016167652A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016167652-A1
Application numberUS-201514733576-A
CountryUS
Kind codeA1
Filing dateJun 8, 2015
Priority dateMay 10, 2007
Publication dateJun 16, 2016
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A method is disclosed for analyzing historical accident information to adjust driving actions of an autonomous vehicle over a travel route in order to avoid accidents which have occurred over the travel route. Historical accident information for the travel route can be analyzed to, for example, determine accident types which occurred over the travel route and determine causes and/or probable causes of the accident types. In response to determining accident types and causes/probable causes of the accident types over the travel route, adjustments can be made to the driving actions planned for the autonomous vehicle over the travel route. In addition, in an embodiment, historical accident information can be used to analyze available travel routes and select a route which presents less risk of accident than others.

First claim

Opening claim text (preview).

We claim: 1 . A method, comprising: receiving a first travel route for an autonomous vehicle; determining an autonomous route risk value for the first travel route using historical accident information of vehicles engaged in autonomous driving over the first travel route; determining a manual route risk value for the first travel route using historical accident information of vehicles engaged in manual driving over the first travel route; comparing the autonomous route risk value to the manual route risk value and determine which of autonomous driving or manual driving provides a lower risk of accident over the first travel route; and storing the determination that either autonomous driving or manual driving provides the lower risk of accident over the first travel route. 2 . The method of claim 1 , further comprising: notifying an operator of an autonomous vehicle of the determination that either autonomous driving or manual driving provides the lower risk of accident over the first travel route. 3 . The method of claim 1 , wherein when manual driving provides the lower risk of accident over the first travel route, adjusting driving actions planned for the autonomous vehicle over the first travel route to decrease a risk of accident over the first travel route. 4 . The method of claim 3 , further comprising analyzing the historical accident information of vehicles engaged in autonomous driving over the first travel route and the historical accident information of vehicles engaged in manual driving over the first travel route to identify accident types which occur more frequently over the first travel route for vehicles engaged in autonomous driving than vehicles engaged in manual driving. 5 . The method of claim 4 wherein the analysis identifies a first accident type, the method further comprising determining a probable cause of the first accident type, and adjusting the driving actions planned for the autonomous vehicle over the first travel route based on the probable cause to avoid the first accident type. 6 . The method of claim 5 wherein the probable cause of the first accident type is excess speed, the adjusting driving actions step comprises reducing a speed of travel of the autonomous vehicle over the first travel route. 7 . The method of claim 5 wherein the probable cause of the first accident type is lack of vehicle traction on the road, the adjusting driving actions step comprises engaging an all-wheel-drive function of the autonomous vehicle. 8 . The method of claim 5 wherein the probable cause of the first accident type is wildlife crossing, the adjusting driving actions step comprises reduce a speed of travel of the autonomous vehicle and prepare for sudden braking and/or evasive maneuvers. 9 . The method of claim 4 further comprising creating a list of the accident types which occur more frequently over the first travel route for vehicles engaged in autonomous driving than vehicles engaged in manual driving. 10 . The method of claim 1 further comprising overriding an autonomous driving over the first travel route when manual driving provides the lower risk of accident over the first travel route. 11 . A method, comprising: receiving a first travel route and a second travel route for an autonomous vehicle; determining a first route risk value for the first travel route and a second route risk value for the second travel route; comparing the first route risk value to the second route risk value to determine a travel route which provides less route risk; selecting as a selected route of travel the travel route which provides less route risk. 12 . The method of claim 11 further comprising analyzing historical accident information of vehicles engaged in autonomous driving over the selected travel route and identify a first accident type which occurs over the selected travel route for vehicles engaged in autonomous driving. 13 . The method of claim 12 further comprising identifying a probable cause of the first accident type and adjusting the driving actions planned for the autonomous vehicle over the selected travel route based on the probable cause to avoid the first accident type. 14 . The method of claim 13 wherein the probable cause of the first accident type is excess speed, the adjusting driving actions step comprises reducing a speed of travel of the autonomous vehicle over the selected travel route. 15 . The method of claim 13 wherein the probable cause of the first accident type is lack of vehicle traction on the road, the adjusting driving actions step comprises engaging an all-wheel-drive function of the autonomous vehicle over the selected travel route. 16 . The method of claim 13 wherein the probable cause of the first accident type is a wildlife crossing, the adjusting driving actions step comprises reduce a speed of travel of the autonomous vehicle and prepare for sudden braking and/or evasive maneuvers over the selected travel route. 17 . The method of claim 12 further comprising identifying a plurality of accident types that occur over the selected travel route and notifying an operator of the autonomous vehicle of the plurality of accident types. 18 . The method of claim 17 wherein the notification is one of a list of the plurality of accident types and a route safety map which identifies where the accident types have occurred along the selected travel route. 19 . A driving analysis computing device comprising: a processing unit comprising a processor; a memory unit; and an electronic receiver, wherein the driving analysis computing device is configured to: receive via the electronic receiver a first vehicle operational data collected by a first vehicle data acquiring component, wherein the first vehicle operational data comprises driving data collected from a first vehicle engaged in autonomous driving; receive a first travel route and a second travel route for an autonomous vehicle; determine a first route risk value for the first travel route and a second route risk value for the second travel route; compare the first route risk value to the second route risk value to determine a travel route which provides less route risk; select as a selected route of travel the travel route which provides less route risk. 20 . The device of claim 19 further comprising a historical accident information database and wherein the device is further configured to analyze the historical accident information database and identify a first accident type which occurs over the selected travel route for vehicles engaged in autonomous driving over the selected travel route; identify a probable cause of the first accident type; and adjust the driving actions planned for the autonomous vehicle over the selected travel route based on the probable cause in order to avoid the first accident type.

Assignees

Inventors

Classifications

  • of positioning data, e.g. GPS [Global Positioning System] data · CPC title

  • Longitudinal speed · CPC title

  • Input parameters relating to infrastructure · CPC title

  • G06Q40/08Primary

    Insurance · CPC title

  • Display means · CPC title

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What does patent US2016167652A1 cover?
A method is disclosed for analyzing historical accident information to adjust driving actions of an autonomous vehicle over a travel route in order to avoid accidents which have occurred over the travel route. Historical accident information for the travel route can be analyzed to, for example, determine accident types which occurred over the travel route and determine causes and/or probable ca…
Who is the assignee on this patent?
Allstate Insurance Co
What technology area does this patent fall under?
Primary CPC classification G06Q40/08. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jun 16 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).