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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。
In order to improve the continuous interpretation and real-time inference ability of the intelligent vehicle case-based reasoning system to the microcosmic situation of road traffic, case-based reasoning method was used to study the modeling of road traffic microcosmic situation interpretation, classification and reasoning. Use A-boxes in Description Logic to describe axiomatic and factual knowledge of road traffic scenarios. Using different granularity of the case description and distributed case base construction methods to express the road traffic situation of the time-space evolution. The results show that the case knowledge makes the case-based reasoning system contain more explicit knowledge and enriches decision-making explanation. The semantic information of road scenes represented by the description logic can strengthen the ability of the system to reasonably describe the road traffic situation.