| 基于Agent与模糊逻辑的车辆换道仿真模型 |
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| 引用本文： | 谭满春.基于Agent与模糊逻辑的车辆换道仿真模型[J].系统工程学报,2007,22(1):40-45. |
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| 作者姓名： | 谭满春 |
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| 作者单位： | 暨南大学信息科学技术学院,广东,广州,510632 |
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| 基金项目： | 国家自然科学基金;广东省自然科学基金 |
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| 摘 要： | 提出了基于Agent的多车道交通流协调控制系统的层次模型,该系统中各Agent之间的信息交流都是双向的.建立了车辆换道行驶、加速或减速等的模糊规则库.车辆的行为由一系列模糊规则来决定.在车辆的换道策略中使用Agent技术,可以克服传统模型中主要依靠车间距来决定换道,车辆之间没有相互作用的缺点.通过计算机仿真,验证了模型及规则的有效性.
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| 关 键 词： | 多智能体 多车道交通流 换道模型 模糊逻辑 控制策略 |
| 文章编号： | 1000-5781（2007）01-0040-06 |
| 收稿时间： | 2005-03-07 |
| 修稿时间： | 2005-03-072006-10-28 |
Simulation model of vehicle lane-changing based on agent and fuzzy logic |
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| TAN Man-chun.Simulation model of vehicle lane-changing based on agent and fuzzy logic[J].Journal of Systems Engineering,2007,22(1):40-45. |
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| Authors: | TAN Man-chun |
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| Institution: | College of Infonnation Science and Technology, Jinan University, Guangzhou 510632, China |
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| Abstract: | A hierarchical model is proposed for coordinated control system of multi-lane traffic flow based on multi-agent,in which the communication among all agents is bi-directional.A base of fuzzy logic rules is constructed for vehicles' lane-changing,accelerated or decelerated motion.Vehicles' behavior is determined by a set of fuzzy rules.Using the agent technology,the strategy of lane-changing can overcome the disadvantages in traditional models that decisions of lane-changing depend on the gaps between vehicles and the communication among vehicles lacks.The effectiveness of the model and rules is illustrated by the computer simulation. |
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| Keywords: | multi-agent multi-lane traffic flow lane-changing model fuzzy logic control strategy |
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