Traffic Congestion Resolution and Driving Assistance System and Method
First Claim
1. A server-based traffic congestion resolution and driving assistance method comprising the steps of:
- obtaining an acceleration of a vehicle that is subject to information delivery;
calculating a power spectrum corresponding to frequencies from frequency analysis of the obtained acceleration;
calculating a simple regression line of the calculated power spectrum, and calculating a maximum value of an amount of change in a slope of the simple regression line within a predetermined frequency range as a maximum value of the slope;
detecting an intervehicular distance between the vehicle and a preceding vehicle;
estimating an intervehicular distance distribution from the detected intervehicular distance using a distribution estimating method;
calculating a minimum value of a covariance from the estimated intervehicular distance distribution;
estimating a vehicle group distribution in front of the vehicle from a correlation between the minimum value of the covariance and the maximum value of the slope;
performing a real-time traffic congestion prediction based on the estimated vehicle group distribution; and
delivering real-time traffic congestion prediction information to the vehicle.
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Abstract
A traffic congestion resolution and driving assistance system and method include obtaining the acceleration of a vehicle; calculating a power spectrum corresponding to frequencies from the acceleration; calculating a simple regression line of the power spectrum, and calculating the maximum value of the amount of change in the slope of the simple regression line. The system and method also include detecting the intervehicular distance between the vehicle and a preceding vehicle; estimating the intervehicular distance distribution from the detected intervehicular distance using a distribution estimating method; and calculating the minimum value of the covariance from the estimated intervehicular distance distribution. The system and method further include estimating the vehicle group distribution in front of the vehicle from the correlation between the minimum value of the covariance and the maximum value of the slope; performing a real-time traffic congestion prediction; and delivering real-time traffic congestion prediction information to the vehicle.
26 Citations
20 Claims
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1. A server-based traffic congestion resolution and driving assistance method comprising the steps of:
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obtaining an acceleration of a vehicle that is subject to information delivery;
calculating a power spectrum corresponding to frequencies from frequency analysis of the obtained acceleration;
calculating a simple regression line of the calculated power spectrum, and calculating a maximum value of an amount of change in a slope of the simple regression line within a predetermined frequency range as a maximum value of the slope;detecting an intervehicular distance between the vehicle and a preceding vehicle;
estimating an intervehicular distance distribution from the detected intervehicular distance using a distribution estimating method;
calculating a minimum value of a covariance from the estimated intervehicular distance distribution;estimating a vehicle group distribution in front of the vehicle from a correlation between the minimum value of the covariance and the maximum value of the slope;
performing a real-time traffic congestion prediction based on the estimated vehicle group distribution; anddelivering real-time traffic congestion prediction information to the vehicle. - View Dependent Claims (2, 3, 4)
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5. A traffic congestion resolution and driving assistance system, comprising:
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an acceleration detector for determining an acceleration of a vehicle; a frequency analyzer for calculating a power spectrum corresponding to frequencies from frequency analysis of the determined acceleration; a simple regression calculator for calculating a simple regression line of the calculated power spectrum; a slope maximum value calculator for calculating a maximum value of an amount of change in a slope of the simple regression line within a predetermined frequency range as a maximum value of the slope; a preceding vehicle detector for detecting an intervehicular distance between the vehicle and a preceding vehicle; an intervehicular distance distribution estimator for estimating the intervehicular distance distribution from the detected intervehicular distance using a distribution estimating method; a covariance minimum value calculator for calculating a minimum value of a covariance from the estimated intervehicular distance distribution; a correlation calculator for estimating a vehicle group distribution in front of the vehicle from a correlation between the calculated covariance minimum value and the calculated slope maximum value; and a traffic congestion predictor for performing a real-time traffic congestion prediction based on the estimated vehicle group distribution and delivering real-time traffic congestion prediction information to the vehicle. - View Dependent Claims (6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A computer program product embodied on a computer-readable media, the media comprising computer-readable instructions, the instructions operable to cause one or more processors to perform operations comprising:
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obtaining an acceleration of a vehicle;
calculating a power spectrum corresponding to frequencies from frequency analysis of the obtained acceleration;
calculating a simple regression line of the calculated power spectrum, and calculating a maximum value of an amount of change in a slope of the simple regression line within a predetermined frequency range as a maximum value of the slope;detecting an intervehicular distance between the vehicle and a preceding vehicle;
estimating an intervehicular distance distribution from the detected intervehicular distance using a distribution estimating method;
calculating a minimum value of a covariance from the estimated intervehicular distance distribution;estimating a vehicle group distribution in front of the vehicle from a correlation between the minimum value of the covariance and the maximum value of the slope;
performing a real-time traffic congestion prediction based on the estimated vehicle group distribution; anddelivering real-time traffic congestion prediction information to the vehicle. - View Dependent Claims (17, 18, 19, 20)
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Specification