Systems and methods for estimating local traffic flow
First Claim
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1. A method for estimating local traffic flow, comprising steps of:
- determining, by a vehicle computing device of a vehicle, a driving habit of a user from historical data, wherein the driving habit includes a headway gap the user prefers and a preferred lateral gap that the user prefers in order to change lanes, wherein the headway gap that the user prefers is combined with a speed gap to determine a longitudinal mobility factor, wherein the speed gap is a function of a speed the user prefers and a current vehicle speed;
determining, by the vehicle computing device, a current location of the vehicle that the user is driving;
determining, by the vehicle computing device, a current driving condition for the vehicle;
predicting by the vehicle computing device, a desired driving condition from the driving habit and the current location;
comparing, by the vehicle computing device, the desired driving condition with the current driving condition to determine a traffic congestion level; and
sending a signal, by the vehicle computing device, to a different vehicle that will enter the current location of the vehicle, wherein the signal indicates the traffic congestion level.
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Abstract
Systems and methods for estimating local traffic flow are described. One embodiment of a method includes determining a driving habit of a user from historical data, determining a current location of a vehicle that the user is driving, and determining a current driving condition for the vehicle. Some embodiments include predicting a desired driving condition from the driving habit and the current location, comparing the desired driving condition with the current driving condition to determine a traffic congestion level, and sending a signal that indicates the traffic congestion level.
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Citations
20 Claims
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1. A method for estimating local traffic flow, comprising steps of:
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determining, by a vehicle computing device of a vehicle, a driving habit of a user from historical data, wherein the driving habit includes a headway gap the user prefers and a preferred lateral gap that the user prefers in order to change lanes, wherein the headway gap that the user prefers is combined with a speed gap to determine a longitudinal mobility factor, wherein the speed gap is a function of a speed the user prefers and a current vehicle speed; determining, by the vehicle computing device, a current location of the vehicle that the user is driving; determining, by the vehicle computing device, a current driving condition for the vehicle; predicting by the vehicle computing device, a desired driving condition from the driving habit and the current location; comparing, by the vehicle computing device, the desired driving condition with the current driving condition to determine a traffic congestion level; and sending a signal, by the vehicle computing device, to a different vehicle that will enter the current location of the vehicle, wherein the signal indicates the traffic congestion level. - View Dependent Claims (2, 3, 4, 5, 6, 18)
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7. A system for estimating local traffic flow, comprising:
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a processing component; and a memory component, at a vehicle that a user is driving, that stores vehicle environment logic that, when executed by the processing component, causes a vehicle computing device to perform at least the following; determine a driving habit of the user from historical data, wherein the driving habit comprises a preferred headway gap the user prefers and a preferred lateral gap that the user prefers in order to change lanes, wherein the headway gap that the user prefers is combined with a speed gap to determine a longitudinal mobility factor, wherein the speed gap is a function of a speed the user prefers and a current vehicle speed; determine a current location of the vehicle; determine a current driving condition for the vehicle; predict a desired driving condition from driving habit and the current location; compare the desired driving condition with the current driving condition to determine a traffic congestion level; and send a signal from the vehicle to a different vehicle that will enter the current location of the vehicle, wherein the signal indicates the traffic congestion level. - View Dependent Claims (8, 9, 10, 11, 19)
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12. A non-transitory computer-readable medium for estimating local traffic flow, the non-transitory computer-readable medium storing a program that, when executed by a vehicle computing device at a vehicle a user is driving, causes the vehicle computing device to perform at least the following:
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determine a driving habit of the user from historical data, wherein the driving habit includes a lateral gap the user prefers in order to change lanes, wherein the lateral gap that the user prefers is utilized to determine a lateral mobility factor, wherein the lateral mobility component is a function of a current gap duration and desired gap duration; determine a current location of the vehicle; determine a current driving condition for the vehicle; predict a desired driving condition from the driving habit and the current location; compare the desired driving condition with the current driving condition to determine a traffic congestion level; and send a signal from the vehicle to a different vehicle that will enter the current location of the vehicle, wherein the signal indicates the traffic congestion level. - View Dependent Claims (13, 14, 15, 16, 17, 20)
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Specification