Intelligent vehicle routing for improved driving safety

1 . A method of providing a driving route for a vehicle, comprising:

receiving at a computing system information from at least one source about an external condition associated with an environment outside of the vehicle, a current location of the vehicle, and feedback from at least one of sensors and a driver monitoring system in the vehicle about a driver of the vehicle;

using the feedback in the computing system to determine when the driver is in a controlled state and not stressed;

storing information about the external condition and the current location associated with the driver being stressed;

using the information about the external conditions and the current location in a machine learning algorithm to learn patterns in external conditions that cause the driver to be in an uncontrolled state, stressed, and otherwise unable to perform one or more driving activities in a safe manner;

receiving at the computing system a starting location and an ending location;

determining using the computing system a route between the starting location and the ending location based on the stored current location, the stored external condition, and the learned patterns in external conditions to limit exposing the driver to external conditions along the route associated with the driver being stressed;

presenting the route to the driver through the navigation system disposed in the vehicle and in communication with the computing system to be followed by the driver in driving from the starting location to the ending location; and

presenting instructions to the driver through the navigation system disposed in the vehicle in real time while the driver is traveling along the presented route that indicate actions for the driver to take that do not cause the driver to deviate from the presented route while reducing stress in the driver based on the learned patterns in external conditions by modifying a position of the vehicle on a road along the presented route to avoid conditions detected in real time by the computing system along the presented route that cause the driver to be in the uncontrolled state and stressed.

2 . The method according to claim 1 , wherein receiving the current location of the vehicle includes receiving GPS information.

3 . The method according to claim 1 , wherein receiving feedback about the driver of the vehicle includes receiving autonomic information from a sensor.

4 . The method according to claim 3 , wherein the autonomic information is used to determine when the driver is in an increased state of stress.

5 . The method according to claim 1 , wherein the step of receiving the starting location and the ending location occurs at a later time than the step of storing information.

6 . The method according to claim 1 , wherein the method further includes learning that the external condition induces stress in the driver.

7 . A method of providing a driving route for a vehicle, comprising:

receiving at a computing system information from at least one source about an external condition associated with an environment of the vehicle, a current location of the vehicle, and feedback about a driver of the vehicle from a driver monitoring system in the vehicle;

using the feedback in the computing system to determine a driver state;

storing information about the external condition and the current location when the driver is not in a controlled state and is stressed;

using the information about the external conditions and the current location in a machine learning algorithm to learn patterns in external conditions that cause the driver to be stressed;

determining using the computing system a route between a starting location and an ending location based on the stored current location, the stored external condition, and the learned patterns in external conditions to limit exposing the driver to external conditions along the route associated with the driver being stressed;

presenting the route to the driver through a navigation system disposed in the vehicle in communication with the computing system; and

presenting instructions to the driver through the navigation system disposed in the vehicle in real time while the driver is traveling along the presented route that indicate actions for the driver to take that do not cause the driver to deviate from the presented route while reducing stress in the driver based on the learned patterns in external conditions by modifying a position of the vehicle on a road along the presented route to avoid conditions detected in real time by the computing system along the presented route that cause the driver to be in the uncontrolled state and stressed.

8 . The method according to claim 7 , wherein the driver monitoring system comprises a health monitoring system and a behavior monitoring system.

9 . The method according to claim 8 , wherein receiving feedback about the driver of the vehicle from the driver monitoring system comprises receiving autonomic information from biometric sensors in the health monitoring system.

10 . The method according to claim 8 , wherein receiving feedback about the driver of the vehicle from a driver monitoring system comprises receiving information about driver behavior from sensors in the behavior monitoring system.

11 . The method according to claim 7 , wherein receiving information about an external condition comprises receiving information about driver stressors that are known to stress the driver.

12 . The method according to claim 7 , wherein method further comprises:

feeding the stored external condition and current location into a machine learning algorithm; and

using the machine learning algorithm to facilitate learning patterns in external conditions that cause the driver to be in an uncontrolled state.