Real Time Risk Assessment and Operational Changes with Semi-Autonomous Vehicles
First Claim
1. A method comprising:
- receiving, by a computing device, an indication of a first travel route associated with an autonomous vehicle;
determining a first risk value comprising an indication of an accident risk associated with traversal of the first travel route by a vehicle in an autonomous driving mode;
determining a second risk value comprising an indication of an accident risk associated with traversal of the first travel route by a vehicle in a manual driving mode;
responsive to determining, based on the first risk value and the second risk value, that the autonomous driving mode is associated with a lower risk of an accident, causing a driver of the autonomous vehicle to be notified that the autonomous driving mode is a safer mode for traversal of the first travel route; and
responsive to determining, based on the first risk value and the second risk value, that the manual driving mode is associated with a lower risk of an accident, causing a driver of the autonomous vehicle to be notified that the manual driving mode is the safer mode for traversal of the first travel route.
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Abstract
A route risk mitigation system and method using real-time information to improve the safety of vehicles operating in semi-autonomous or autonomous modes. The method mitigates the risks associated with driving by assigning real-time risk values to road segments and then using those real-time risk values to select less risky travel routes, including less risky travel routes for vehicles engaged in autonomous driving over the travel routes. The route risk mitigation system may receive location information, real-time operation information, (and/or other information) and provide updated associated risk values. In an embodiment, separate risk values may be determined for vehicles engaged in autonomous driving over the road segment and vehicles engaged in manual driving over the road segment.
246 Citations
20 Claims
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1. A method comprising:
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receiving, by a computing device, an indication of a first travel route associated with an autonomous vehicle; determining a first risk value comprising an indication of an accident risk associated with traversal of the first travel route by a vehicle in an autonomous driving mode; determining a second risk value comprising an indication of an accident risk associated with traversal of the first travel route by a vehicle in a manual driving mode; responsive to determining, based on the first risk value and the second risk value, that the autonomous driving mode is associated with a lower risk of an accident, causing a driver of the autonomous vehicle to be notified that the autonomous driving mode is a safer mode for traversal of the first travel route; and responsive to determining, based on the first risk value and the second risk value, that the manual driving mode is associated with a lower risk of an accident, causing a driver of the autonomous vehicle to be notified that the manual driving mode is the safer mode for traversal of the first travel route. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method comprising:
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receiving, by a computing device, first historical accident information of vehicles engaged in an autonomous driving mode over a first travel route; receiving second historical accident information of vehicles engaged in a manual driving mode over the first travel route based on the first historical accident information, determining a first risk value comprising an indication of an accident risk associated with traversal of a first travel route by a vehicle in an autonomous driving mode; based on the second historical accident information, determining a second risk value comprising an indication of an accident risk associated with traversal of the first travel route by a vehicle in a manual driving mode; generating a data store comprising the first risk value and the second risk value, wherein the first risk value and the second risk value are associated, in the data store, with the first travel route; receiving an indication of a planned travel route associated with an autonomous vehicle, wherein the planned travel route comprises at least the first travel route; and outputting a notification identifying one driving mode of the autonomous driving mode and the manual driving mode, wherein the one driving mode is a safer mode for traversal of the first travel route. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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16. An apparatus, comprising:
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a processor configured to execute computer-executable instructions; and a memory storing the computer-executable instructions that, when executed by the processor, cause the apparatus to; receive an indication of a first travel route associated with an autonomous vehicle; determine a first risk value comprising an indication of an accident risk associated with traversal of the first travel route by a vehicle in an autonomous driving mode; determine a second risk value comprising an indication of an accident risk associated with traversal of the first travel route by a vehicle in a manual driving mode; responsive to determining, based on the first risk value and the second risk value, that the autonomous driving mode is associated with a lower risk of an accident, cause a driver of the autonomous vehicle to be notified that the autonomous driving mode is a safer mode for traversal of the first travel route; and responsive to determining, based on the first risk value and the second risk value, that the manual driving mode is associated with a lower risk of an accident, cause a driver of the autonomous vehicle to be notified that the manual driving mode is the safer mode for traversal of the first travel route. - View Dependent Claims (17, 18, 19, 20)
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Specification