基于人眼模拟视觉的小区域车辆路径选择仿真  

Small Areas of Simulation Based on Human Eyes Visual Vehicle Routing Simulation

作　　者：王润芳[1] 张倩[1] 

机构地区：[1]长春工业大学人文信息学院,信息工程系,吉林长春130122

出　　处：《计算机仿真》2015年第5期399-402,共4页Computer Simulation

基　　金：基于内容的医学图像检索系统(吉教科合字【2014】第641号)

摘　　要：研究小区域内车辆路径的选择对车辆智能化发展有着重要的意义。小区域路况选择与大区域明显不同,其面临更为复杂的环境。在大区域中可以忽略的约束条件在小区域选择中往往十分重要。传统的小区域内路况选择需要预设大量根据经验总结的前提条件,计算量巨大,经常出现矛盾选择,无法对路况进行实时的最优计算。提出一种基于人眼模拟视觉的小区域车辆路径选择模型。结合计算机视觉,模拟人眼识别与人脑决策功能。根据图像采集区域内的车辆流量、拥堵、路障等监测信息,对上述路径信息进行编码,并进行选择、交叉、变异操作,模拟人脑选取通畅道路中的最优路径,实现小区域内车载终端路径的最优选择。实验结果表明,利用改进算法进行车载终端路径最优选择,能够极大的提高选择路径的准确性。Research on vehicle routing choice for small area intelligent vehicle development has important signifi- cance. Small region selection and large area obviously different road conditions, the face more complex environment. In the regional domain can ignore the constraints in small area selection is often very important. Traditional road choice need to preset a large number of small area according to the experience of the premise condition, large amount of calculation, often appear contradictory to choose, unable to optima] calculation of road conditions in real time. In this paper, a simulation based on human eyes visual small areas of the vehicle route choice model. Combining with the computer vision, simulate the human eye identification and decision-making brain functions. According to image acquisition area of vehicle traffic, congestion, harriers, such as monitoring information, the above code path information, and make a selection, crossover and mutation operation, simulating the optimal path in the brain to choose un- obstructed road car terminal implementation small area of the optimal choice. The experimental results show that the optimal use of improved algorithm for vehicle terminal path choice, can greatly improve the accuracy of choose the path.

关 键 词：图像 路径选择 动态遗传 车载终端 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]