Data processing system communicating with a map data processing system to determine or alter a navigation path based on one or more road segments
Systems and methods are disclosed for determining a probability of an adverse event that will occur in a future. The system may determine a geographical location of a vehicle based on data indicating the geographical location of the vehicle received from the vehicle and sensed by a vehicle sensor of the vehicle; determine an environment of the geographical location of the vehicle; determine vehicle attributes of the vehicle; link the environment of the geographical location of the vehicle and the vehicle attributes; and based on a link between the environment of the geographical location of the vehicle and the vehicle attributes, determine a probability of an adverse event that will occur in a future.
1. A method comprising:
determining, by a computing device, a geographical location of a vehicle based on sensor data received from and sensed by a Global Positioning System (GPS) sensor, wherein the sensor data indicates the geographical location of the vehicle;
determining an environment of the geographical location of the vehicle, wherein the environment comprises one or more of weather-related attributes or roadway features of the geographical location;
determining vehicle attributes of the vehicle, wherein the vehicle attributes comprise one of more of a type of the vehicle, a make of the vehicle, or an age of the vehicle;
based on the environment of the geographical location of the vehicle, the vehicle attributes, and data representing passenger behavior indicating whether the passenger is a distraction to a driver of the vehicle, determining a probability of an adverse event that will occur in a future; and
based on a determination that the probability of the adverse event exceeds a threshold, displaying an indication that the probability of the adverse event exceeds the threshold on a live risk map.
2. The method of claim 1 , further comprising:
based on the probability of the adverse event and based on a number of pedestrians in the geographical location of the vehicle exceeding a second threshold, determining, while the driver is driving the vehicle, a risk to the pedestrians.
3. The method of claim 1 , wherein the weather-related attributes comprise one or more of data indicating whether it is snowing in the geographical location, whether there is snow on a ground of the geographical location, how much snow is on the ground of the geographical location, or a temperature of the geographical location.
4. The method of claim 1 , wherein the roadway features of the geographical location comprise one or more of data indicating a curvature of the geographical location, a gradient of the geographical location, whether the geographical location comprises a highway, whether the geographical location comprises paved or unpaved roads, or a type of terrain of the geographical location.
5. The method of claim 1 , wherein the type of the vehicle comprises one or more of a sedan, a sports utility vehicle, a pickup truck, a minivan, a tow truck, an 18 wheeler, a motor bike, trailers, or an RV.
6. The method of claim 1 , further comprising:
determining a potential cost of the adverse event that will occur in the future.
7. The method of claim 6 , further comprising:
estimating an insurance cost based on the potential cost of the adverse event that will occur in the future.
8. The method of claim 1 , wherein the determining the probability of the adverse event is further based on one or more links between the vehicle attributes and the environment of the geographical location of the vehicle.
9. An apparatus comprising:
a processor; and
memory storing computer-executable instructions that, when executed by the processor, cause the apparatus to:
determine a geographical location of a vehicle based on sensor data received from and sensed by a Global Positioning System (GPS) sensor, wherein the sensor data indicates the geographical location of the vehicle;
determine an environment of the geographical location of the vehicle, wherein the environment comprises one or more of weather-related attributes or roadway features of the geographical location;
determine vehicle attributes of the vehicle, wherein the vehicle attributes comprise one of more of a type of the vehicle, a make of the vehicle, or an age of the vehicle;
based on the environment of the geographical location of the vehicle, the vehicle attributes, and data representing passenger behavior indicating whether the passenger is a distraction to a driver of the vehicle, determine a probability of an adverse event that will occur in a future; and
based on a determination that the probability of the adverse event exceeds a threshold, display an indication that the probability of the adverse event exceeds the threshold on a live risk map.
10. The apparatus of claim 9 , wherein the weather-related attributes comprise one or more of data indicating whether it is snowing in the geographical location, whether there is snow on a ground of the geographical location, how much snow is on the ground of the geographical location, or a temperature of the geographical location.
11. The apparatus of claim 9 , wherein the roadway features of the geographical location comprise one or more of data indicating a curvature of the geographical location, a gradient of the geographical location, whether the geographical location comprises a highway, whether the geographical location comprises paved or unpaved roads, or a type of terrain of the geographical location.
12. The apparatus of claim 9 , wherein the type of the vehicle comprises one or more of a sedan, a sports utility vehicle, a pickup truck, a minivan, a tow truck, an 18 wheeler, a motor bike, trailers, or an RV.
13. The apparatus of claim 9 , wherein the memory stores computer-executable instructions that, when executed by the processor, cause the apparatus to:
based on the probability of the adverse event and based on a number of pedestrians in the geographical location of the vehicle exceeding a second threshold, determine, while the driver is driving the vehicle, a risk to the pedestrians.
14. The apparatus of claim 9 , wherein the memory stores computer-executable instructions that, when executed by the processor, cause the apparatus to:
determine a potential cost of the adverse event that will occur in the future; and
estimate an insurance cost based on the potential cost of the adverse event that will occur in the future.
15. A system comprising:
a vehicle comprising a Global Positioning System (GPS) sensor configured to sense data indicating a geographical location of the vehicle; and
a computing device remote from the vehicle, the computing device comprising:
a processor; and
memory storing computer-executable instructions that, when executed by the processor, cause the computing device to:
determine, based on the data received from and sensed by the GPS sensor, the geographical location of the vehicle;
determine an environment of the geographical location of the vehicle, wherein the environment comprises one or more of weather-related attributes or roadway features of the geographical location;
determine vehicle attributes of the vehicle, wherein the vehicle attributes comprise one of more of a type of the vehicle, a make of the vehicle, or an age of the vehicle;
based on the environment of the geographical location of the vehicle, the vehicle attributes, and data representing passenger behavior indicating whether the passenger is a distraction to a driver of the vehicle, determine a probability of an adverse event that will occur in a future; and
based on a determination that the probability of the adverse event exceeds a threshold, display an indication that the probability of the adverse event exceeds the threshold on a live risk map.
16. The system of claim 15 , wherein the weather-related attributes comprise one or more of data indicating whether it is snowing in the geographical location, whether there is snow on a ground of the geographical location, how much snow is on the ground of the geographical location, or a temperature of the geographical location.
17. The system of claim 15 , wherein the roadway features of the geographical location comprise one or more of data indicating a curvature of the geographical location, a gradient of the geographical location, whether the geographical location comprises a highway, whether the geographical location comprises paved or unpaved roads, or a type of terrain of the geographical location.
18. The system of claim 15 , wherein the memory stores computer-executable instructions that, when executed by the processor, cause the computing device to:
based on the probability of the adverse event and based on a number of pedestrians in the geographical location of the vehicle exceeding a second threshold, determine, while the driver is driving the vehicle, a risk to the pedestrians.
19. The system of claim 15 , wherein the memory stores computer-executable instructions that, when executed by the processor, cause the computing device to:
determine a potential cost of the adverse event that will occur in the future.
20. The system of claim 19 , wherein the memory stores computer-executable instructions that, when executed by the processor, cause the computing device to:
estimate an insurance cost based on the potential cost of the adverse event that will occur in the future.