Interactive method of automobile driving simulator and virtual traffic environment simulation system

Abstract

The invention discloses an interactive method of an automobile driving simulator and a virtual traffic environment simulation system. The interactive method adopts a high-efficiency algorithm and a data structure to realize real-time interaction of the automobile driving simulator and virtual traffic environment simulation software: the traffic environment simulation software conducts interactive traffic microscopic simulation calculation according to a self-state, a received state of the automobile driving simulator, and a traffic simulation model. The automobile driving simulator receives state information about traffic participating objects near the traffic environment simulation software in a traffic flow from the traffic environment simulation software and uses the information to accomplish collision detection calculation in a three-dimensional space and realize the interaction with the traffic flow simulated by the virtual traffic environment simulation software. According to the interactive method of the automobile driving simulator and the virtual traffic environment simulation system, with the adoption of a directed graph structure, quick traversal of road environmental data is realized; the efficiency of the simulation calculation is improved; simulation calculation results are vivid; and the interactive relation of the automobile driving simulator with the virtual traffic environment simulation system can be simulated well.

Description

technical field [0001] The invention relates to a method for information interaction between a car driving simulator and a virtual traffic environment simulation system. Background technique [0002] Automobile driving behavior has many characteristics such as complexity, ambiguity, self-learning, and correlation. When teaching car driving, it is necessary to pay special attention to cultivating students' systematic and predictive thinking habits. It can be seen that car driving skills cannot be quantified, nor can they be acquired through simple training. [0003] However, most of the traditional car driving training models are based on teaching practice experience, formed in the process of summarizing and summarizing, and all belong to the inductive training model. In this training mode, there are more experience and emotional components. In fact, the linearization of traditional teaching knowledge structure limits the acquisition of knowledge information at multiple le...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the prior art and provide an interactive method between a car driving simulator and a virtual traffic environment simulation system. The method adopts an efficient algorithm and a directed graph structure to realize fast traversal of road environment data and improve simulation calculation High efficiency, realize the real-time interaction between the car driving simulator and the virtual traffic environment simulation software, and solve the problems of insufficient interaction accuracy, insufficient simulation granularity of other car behaviors in the virtual traffic environment, low fidelity, and vehicles crossing each other