论文:2012,Vol:30,Issue(5):729-733
引用本文:
李珣, 曲仕茹. 物联网架构下的车辆动态避险路径规划方法研究[J]. 西北工业大学
Li Xun, Qu Shiru. An Effective Differential Evolution Algorithm for Collision Avoidance of Vehicles under IOT (Internet of Things)[J]. Northwestern polytechnical university

物联网架构下的车辆动态避险路径规划方法研究
李珣, 曲仕茹
西北工业大学 自动化学院, 陕西 西安 710072
摘要:
针对多车道路复杂的车辆行驶状况,文章借助无线传感网络的相关技术来设计车辆运行中的物联网络(The Internet of Things,IOT)方案,并分析了运行中车辆间产生的威胁关系,提出一种利用改进边缘势场函数来描述车辆行驶中动态产生的威胁关系的方法。并在预判威胁发生的估计区域的基础上,引入微分进化算法,给出了规避路径的规划算法。实验表明,相对于传统势场法,改进的边缘势场函数更适用于描述道路车辆间相互威胁的动态关系;微分进化算法在路径规划过程中,相对传统群算法,具有更好的全局优化能力及更短的收敛时间。
关键词:    车辆避撞    交通控制    微分进化算法    路径规划    物联网   
An Effective Differential Evolution Algorithm for Collision Avoidance of Vehicles under IOT (Internet of Things)
Li Xun, Qu Shiru
Department of Automatic Control,Northwestern Polytechnical University,Xi'an 710072,China
Abstract:
We present one kind of The IOT plan for vehicles and a novel method of threat estimation and route pro-gramming for vehicles in multi-lane traffic.We give a dynamic estimation of threats with the improved edge poten-tial field function, by whih the risk zone is predicted.Sections 1 through 3 of the full paper explain our differentialevolution algorithm mentioned in the title, which we believe is more effective than the traditional one.Sections 1, 2 and 3 are respectively entitled: (1) IOT Scheme for Vehicular Traffic, (2) Mathematical Model DescribingThreats among Vehicles, (3) Path Planning for Collision Avoidance.Subsection 3.2 presents collision avoidancepath planning using differential evolution algorithm.Experimental results, presented in Table 1 and Fig 8, andtheir analysis show preliminarily that: (1) our method is superior on the estimation of dynamic threats than the po-tential method, (2) the differential evolution algorithm gives a better performance on searching global optimizationand convergence time than that of the traditional group method.
Key words:    collision avoidance    traffic control;differential evolution algorithm;edge potential field function    In-ternet of Things (IOT)   
收稿日期: 2011-10-28     修回日期:
DOI:
基金项目: 教育部博士点基金(20096102110027);航空科学基金(20090153002)资助
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作者简介: 李珣(1981-),西北工业大学博士研究生,从事智能运输系统及物联网研究。
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