Traffic congestion resolution and driving assistance system and method

摘要

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.

主权项

1. A server-based traffic congestion resolution and driving assistance method comprising the steps of:
obtaining an acceleration of vehicles 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 each 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 ahead 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 first to vehicles highly impacted by traffic congestion formation in a vehicle group comprising a plurality of vehicles.