摘要
为提高智能车辆案例推理系统对道路交通微观态势的连续解释和实时推断能力,采用案例推理方法,研究道路交通微观态势解释、分类和推理的建模问题。利用描述逻辑中的A-boxes描述道路交通场景中公理性、事实性的知识。采用不同粒度的案例描述方式和分布式案例库构筑方法,表达道路交通态势的时-空演化过程。结果表明:案例知识使案例推理系统包含更多显性知识,丰富了决策解释;由描述逻辑表现的道路场景语义信息,能够加强该系统对道路交通态势的推理描述能力。
To increase intelligent vehicles＂ case-based reasoning capability, modeling issues concerning interpretation, classification and reasoning of road traffic micro-situation were researched by utilizing the case-based reasoning. The axiomatic, factual knowledge of road scene was described through using A-boxes in description logic. The case description in different granularity and distributed case-base build- ing method were used for expressing temporal evolution process of traffic situation. The results of simulation show that case knowledge makes the case-based reasoning system contain more explicit knowledge, thus enriches the decision explanation, and that semantic information on road scene presented by description logic strengthens the system~ capability of reasoning description of road traffic situation.
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2014年第1期22-27,共6页
China Safety Science Journal
基金
国家自然科学基金资助(61074140)
山东省自然科学基金资助(ZR2010FM007)
关键词
智能车辆
道路交通
微观态势
案例推理
描述逻辑
intelligent vehicles
road traffic
micro situation
case-based reasoning
description logic
