Car-following simulation method based on fuzzy mathematics

Abstract

The invention discloses a car-following simulation method based on fuzzy mathematics in the technical filed of motor vehicle driving behavior simulation. The method comprises the steps of: firstly, drawing a speed-time curve and a speed-displacement curve of a leading car and a following car respectively; acquiring driving character parameters of the following car and moving state parameters of the two cars one after the other; and then, substituting the character parameters and the moving state parameters of the following car into a fuzzy inference system, deriving a vehicle motion control rule and simulating car driving. By taking into consideration feature differences of drivers and different characteristics of vehicles, the method can better reflect drivers' decision making process, better simulate drivers' driving behavior, and reproduce real traffic scenes more effectively.

Description

technical field [0001] The invention belongs to the technical field of motor vehicle driving behavior simulation, and in particular relates to a car-following simulation method based on fuzzy mathematics. Background technique [0002] With the development of modern science and technology and the limitation of land resources, countries around the world have gradually shifted from mainly relying on expanding the scale of the road network to solve the growing traffic demand to using high-tech to transform the existing road traffic system and its management system, so as to achieve Significantly improve the traffic capacity and service quality of the transportation network. Traffic simulation overcomes the shortcomings of high cost and difficult implementation of traffic system field experiments, and provides a good test platform for urban traffic construction and research. The research on traffic modeling method is proposed to meet the requirements of urban traffic control und...

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Problems solved by technology

[0013] (3) Since a large number of studies and experiments are carried out in low-speed and stop-and-go traffic conditions, it cannot reflect the general car-following behavior well, and the car-following behavior is very easy to change with traffic conditions and traffic operation status , so the versatility of the model is poor, and there are multiple versions of the model parameters m and 1, which are controversial;

[0026] 1. Failure to fully consider the driver's own factors from a psychological point of view;

[0027] 2. Failing to comprehensively consider the factors that affect the car-following behavior of the vehicle;

[0028] 3. Some traditional car-following models often only consider the driver-vehicle and the road, or isolate the driver, vehicle, and road traffic environment for research, ignoring the choice of driving behavior mode and Realization is the synergistic effect among man, machine, road and environment;

[0029] 4. The traditional car-following model 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

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