Method for controlling vehicle follow gallop movement speed

Abstract

The invention relates to a speed control method for car-following motions, which is characterized in that the acceleration lva is acquired by means of three times of the relative distances between a front car and a following car, the speeds of both the front and following cars, and the time interval Delta t in which the relative distances between the two cars, and used as a second input variable. Ds and lva act as two input variables of a fuzzy controller, and the acceleration of the following car is used as the output variable fva of the fuzzy controller; ds, lva and fva are respectively divided into seven fuzzy word sets, namely, minus large, minus middle, minus small, zero, plus small, plus middle, and plus large, which are respectively represented as nb, nm, ns, ze, ps, pm, and pb; the membership functions of the seven fuzzy word sets adopt the common triangle functions. The fuzzy inference rules of fuzzy controller adopt the 49 rules inducted in a rule table; the fuzzy set of the variable fva is calculated by use of the maximum-minimum approach; finally, the method of mass center is adopted to deblur the fuzzy sets of the output variable fva, thus obtaining the acceleration of the following car.

Description

technical field [0001] The invention relates to a vehicle following method based on fuzzy inference, which applies fuzzy logic to the control and decision-making of vehicle following. Background technique [0002] With the rapid development of road traffic, the study of driving behavior plays an increasingly important role in the improvement of traffic safety and behavioral ability. A correct understanding of how the driver manipulates the vehicle during driving is the basis for designing transportation devices and management solutions. The traditional car-following method is difficult to reflect the uncertainty and inconsistency of a series of psychological and physiological activities such as the driver's feeling, understanding, judgment, and decision. Many studies believe that there is a certain relationship between the stimulus of the leading vehicle and the response of the following vehicle in the process of vehicle following, that is, there is a certain causal relatio...

AI Technical Summary

Problems solved by technology

This method uses simple stimulus-response characteristics, which is too simple to reflect the driver's perception, reaction, judgment and other psychological and physiological behavior characteristics during driving, and also has the following shortcomings:

Therefore, it is difficult to match the actual maximum traffic volume when using the car-following model based on the safety distance to analyze the traffic capacity

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