TRAFFIC CONGESTION PREDICTION METHOD
First Claim
1. A traffic congestion prediction method comprising the steps of:
- detecting an acceleration of a vehicle;
calculating a power spectrum corresponding to a frequency from a frequency analysis of the acceleration;
calculating a simple linear regression line of the power spectrum and calculating a maximum value of an amount of change in a gradient of the simple linear regression line in a predetermined frequency range as a maximum gradient value;
detecting an inter-vehicle distance between the vehicle and a vehicle ahead;
estimating an inter-vehicle distance distribution from the inter-vehicle distance by using a distribution estimation method;
calculating a minimum value of covariance from the inter-vehicle distance distribution;
estimating a distribution of a group of vehicles ahead from a correlation between the minimum value of covariance and the maximum gradient value; and
performing a traffic congestion prediction based on the distribution of the group of vehicles.
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Abstract
A traffic congestion prediction method including the steps of: detecting an acceleration of a vehicle; calculating a power spectrum corresponding to a frequency from a frequency analysis of the detected acceleration; calculating a simple linear regression line of the power spectrum and calculating a maximum value of an amount of change in a gradient of the simple linear regression line in a predetermined frequency range as a maximum gradient value; detecting an inter-vehicle distance between the vehicle and a vehicle ahead; estimating an inter-vehicle distance distribution from the detected inter-vehicle distance by using a distribution estimation method; calculating a minimum value of covariance value from the estimated inter-vehicle distance distribution; estimating a distribution of a group of vehicles ahead from a correlation between the minimum value of covariance value and the maximum gradient value; and performing a real-time traffic congestion prediction based on the distribution of the group of vehicles.
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Citations
12 Claims
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1. A traffic congestion prediction method comprising the steps of:
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detecting an acceleration of a vehicle; calculating a power spectrum corresponding to a frequency from a frequency analysis of the acceleration; calculating a simple linear regression line of the power spectrum and calculating a maximum value of an amount of change in a gradient of the simple linear regression line in a predetermined frequency range as a maximum gradient value; detecting an inter-vehicle distance between the vehicle and a vehicle ahead; estimating an inter-vehicle distance distribution from the inter-vehicle distance by using a distribution estimation method; calculating a minimum value of covariance from the inter-vehicle distance distribution; estimating a distribution of a group of vehicles ahead from a correlation between the minimum value of covariance and the maximum gradient value; and performing a traffic congestion prediction based on the distribution of the group of vehicles. - View Dependent Claims (2, 3, 4)
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5. A traffic congestion prediction device comprising:
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a vehicle speed sensor configured to detect an acceleration of a vehicle; and a processing unit configured to calculate a power spectrum corresponding to a frequency from a frequency analysis of the acceleration; calculate a simple linear regression line of the power spectrum and calculating a maximum value of an amount of change in a gradient of the simple linear regression line in a predetermined frequency range as a maximum gradient value; detect an inter-vehicle distance between the vehicle and a vehicle ahead; estimate an inter-vehicle distance distribution from the inter-vehicle distance by using a distribution estimation method; calculate a minimum value of covariance from the inter-vehicle distance distribution; estimate a distribution of a group of vehicles ahead from a correlation between the minimum value of covariance and the maximum gradient value; and perform a traffic congestion prediction based on the distribution of the group of vehicles. - View Dependent Claims (6, 7, 8)
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9. A traffic congestion prediction device comprising:
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a vehicle speed sensor for detecting an acceleration of a vehicle; and a processing unit comprising means for calculating a power spectrum corresponding to a frequency from a frequency analysis of the acceleration, means for calculating a simple linear regression line of the power spectrum and calculating a maximum value of an amount of change in a gradient of the simple linear regression line in a predetermined frequency range as a maximum gradient value, means for detecting an inter-vehicle distance between the vehicle and a vehicle ahead, means for estimating an inter-vehicle distance distribution from the inter-vehicle distance by using a distribution estimation method, means for calculating a minimum value of covariance from the inter-vehicle distance distribution, means for estimating a distribution of a group of vehicles ahead from a correlation between the minimum value of covariance and the maximum gradient value, and means for performing a traffic congestion prediction based on the distribution of the group of vehicles. - View Dependent Claims (10, 11, 12)
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Specification