虚拟自主车智能驾驶行为的研究与实现

Intelligent driving behavior research to virtual autonomous vehicle

为了提高驾驶模拟系统的逼真度和可信度,以自主车驾驶行为作为研究对象,在结合宏观与微观信息进行虚拟道路环境建模的基础上,提出一种基于局部信息感知和知识随机决策的概率模拟方法,目的是提升虚拟车的自主智能性和实现驾驶行为的真实随机性。实验与应用结果表明,提出的方法能够较真实地再现车辆的自主驾驶行为,模拟现实中交通车辆环境,并提高了模拟系统的真实性、形象性和实时性。

In order to increase the fidelity and credibility of the driving simulation system,this paper establishes the intelligent driving behavior model of virtual autonomous vehicle,on the basis of micro-macro external road environment. Also,a simulation method based on local information perception and stochastic decision making has been proposed to improve the probability of independent intelligence vehicle and real-random driving behavior. Finally,the result illustrates the driving behavior of virtual autonomous vehicle can be realized by using these methods,which simulate real traffic environment and also enhance authenticity and real-time capability of system.