Advanced warning system
View Patent ↗Aspects of the present disclosure generally relate to one or more systems, methods, and/or devices for an advanced warning system that alerts drivers of potential upcoming traffic conditions (e.g., accidents or traffic slowdowns) based on active monitoring of vehicle parameters (e.g., speed, braking, air bag deployment, etc.) associated with other vehicles traveling ahead in the same direction. Thus, in some aspects, the advanced warning system may receive, at a network device (e.g., network management center (NMC)), one or more parameters from a first mobile computing platform (MCP) associated with a first vehicle and determine, at the network device, whether a traffic condition has developed on a stretch of highway based on the one or more parameters.
1. A method of providing an advanced warning to a vehicle, comprising:
receiving, at a network device, one or more parameters from a first mobile computing platform (MCP) associated with a first vehicle;
determining, at the network device, a traffic condition based on the one or more parameters;
assigning, to the traffic condition, a confidence factor identifying a level of confidence that the network device has that the traffic condition is a hazardous condition;
identifying a second MCP associated with a second vehicle within a proximity threshold to the first vehicle; and
transmitting a warning notification to the second MCP based on the confidence factor, wherein the warning notification includes information regarding the traffic condition.
2. The method of claim 1 , wherein determining the traffic condition based on the one or more parameters comprises:
identifying a location of the traffic condition; and
estimating a severity level of the traffic condition based on the one or more parameters.
3. The method of claim 2 , wherein the transmitting the warning notification to the second MCP comprises:
determining whether the severity level of the traffic condition satisfies a severity threshold; and
transmitting the warning notification to the second MCP if the severity level of the traffic condition exceeds the severity threshold.
4. The method of claim 1 , further comprising:
identifying a number of MCPs reporting at least one abnormal operating condition within the proximity of the first vehicle;
determining whether the number of MCPs reporting at least one abnormal operating condition satisfies a threshold; and
increasing the confidence factor based on the determining that the number of MCPs reporting at least one abnormal operating condition satisfies the threshold.
5. The method of claim 1 , further comprising:
determining weather conditions at a location of the first vehicle; and
increasing the confidence factor based on the weather conditions.
6. The method of claim 1 , further comprising:
receiving information regarding the traffic condition from an alternative source, wherein the alternative source comprises at least one of a government vehicle, a traffic report, a traffic camera, automated highway status report or news report; and
adjusting the confidence factor for the traffic condition based on the information.
7. The method of claim 1 , further comprising:
receiving the one or more parameters from a plurality of MCPs within the proximity threshold of the first vehicle, wherein the one or more parameters report at least one abnormal operating condition; and
determining a severity level based on a number of the plurality of MCPs reporting the at least one abnormal operating condition.
8. The method of claim 1 , further comprising:
monitoring, at the network device, driving activity of the second vehicle; determining whether the second vehicle has responded to the warning notification based on the driving activity; and
transmitting an urgent notification to the second MCP in response to determining that the second vehicle has not responded to the warning notification.
9. The method of claim 1 , further comprising:
transmitting, from the network device, a control signal to the second MCP, wherein the control signal overrides at least one driving capability of the second vehicle.
10. The method of claim 1 , wherein the receiving of the one or more parameters further comprises receiving one or more parameters selected from a group consisting of: speed, deceleration, braking, air bag deployment, 4-way flashers, revolutions per minute (RPM), windshield wiper, fog lights, steering input, location, direction of travel, wind speed, engine oil pressure, coolant level, pull-down seat deployment, seat belt pre-tensioner deployment forward vision system input, depressed driver emergency button, tire-pressure monitoring system, automatic traction control, and a biometric parameter of a driver.
11. The method of claim 1 , wherein the transmitting of the warning notification including the information regarding the traffic condition comprises transmitting at least one of a location of the traffic condition, a severity of the traffic condition, the confidence factor of the traffic condition, an estimated delay associated with the traffic condition, or an alternative route.
12. The method of claim 1 , wherein the determining of the traffic condition comprises determining an accident or a roadway impediment on a highway.
13. The method of claim 1 , wherein transmitting the warning notification to the second MCP comprises transmitting the warning notification from the first MCP to the second MCP in a peer-to-peer (P2P) communication.
14. An apparatus for providing an advanced warning to a vehicle, comprising:
a processor;
a memory coupled to the processor, wherein the memory includes instructions executable by the processor to:
receive, at a network device, one or more parameters from a first mobile computing platform (MCP) associated with a first vehicle;
determine, at the network device, a traffic condition base on the one or more parameters;
assign, to the traffic condition, a confidence factor identifying a level of confidence that the network device has that the traffic condition is a hazardous condition;
identify a second MCP associated with a second vehicle and
transmit a warning notification to the second MCP based on the confidence factor, wherein the warning notification includes information regarding the traffic condition.
15. The apparatus of claim 14 , wherein the instructions are further executable by the processor to:
identify a location of the traffic condition; and
estimate a severity level of the traffic condition based on the one or more parameters.
16. The apparatus of claim 15 , wherein the instructions are further executable by the processor to:
determine whether the severity level of the traffic condition satisfies a severity threshold; and
transmit the warning notification to the second MCP if the severity level of the traffic condition exceeds the severity threshold.
17. The apparatus of claim 14 , wherein the one or more parameters are selected from a group consisting of: speed, deceleration, braking, air bag deployment, 4-way flashers, revolutions per minute (RPM), windshield wiper, fog lights, steering input, location, direction of travel, wind speed, engine oil pressure, coolant level, pull-down seat deployment, seat belt pre-tensioner deployment forward vision system input, depressed driver emergency button, tire-pressure monitoring system, automatic traction control, and a biometric parameter of a driver.
18. A non-transitory computer readable medium for providing an advanced warning to a vehicle, wherein the computer readable medium comprises code for:
receiving, at a network device, one or more parameters from a first mobile computing platform (MCP) associated with a first vehicle;
determining, at the network device, a traffic condition based on the one or more parameters;
assigning, to the traffic condition, a confidence factor identifying a level of confidence that the network device has that the traffic condition is a hazardous condition;
identifying a second MCP associated with a second vehicle within a proximity threshold to the first vehicle; and
transmitting a warning notification to the second MCP based on the confidence factor, wherein the warning notification includes information regarding the traffic condition.
19. The method of claim 1 , wherein the transmitting the warning notification to the second MCP based on the confidence factor further comprises:
determining whether the confidence factor satisfices a confidence threshold; and
transmitting the warning notification to the second MCP if the confidence factor exceeds the confidence threshold.
20. The apparatus of claim 14 , wherein the transmit the warning notification to the second MCP based on the confidence factor further comprises:
determine whether the confidence factor satisfices a confidence threshold; and
transmit the warning notification to the second MCP if the confidence factor exceeds the confidence threshold.
21. The non-transitory computer readable medium of claim 18 , wherein the transmitting the warning notification to the second MCP based on the confidence factor further comprises:
determining whether the confidence factor satisfices a confidence threshold; and
transmitting the warning notification to the second MCP if the confidence factor exceeds the confidence threshold.