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在传统经验式公路隧道交通控制方法基础上,利用人工智能中的知识表示方法和基于规则的专家系统,提出一种范例推理与规则推理相结合的公路隧道突发事件交通控制方法,建立了突发事件下公路隧道车辆诱导预案生成及管理系统。针对某平行分离式隧道,使用面向对象的范例表示方法,将已有范例表示为包含范例属性信息、控制方案信息和结果信息的三元组形式,并给出了计算范例相似度的方法。使用IF-THEN的产生式规则表示方法,结合公路隧道突发事件的类别属性和阻塞车道数属性,给出了产生单点交通事故车辆分流控制策略的推理规则。仿真结果表明:与传统范例推理方法相比,在范例数量不足条件下,该交通控制方法可缩短预案生成时间22%,方法有效。
Based on the traditional experience-based tunnel traffic control method, this paper proposes a method of traffic accident control based on the combination of case-based reasoning and rule reasoning, using knowledge representation in artificial intelligence and rule-based expert system. Accident under the road tunnel vehicle induced plan generation and management system. For a parallel split tunnel, an object-oriented paradigm representation is used to represent the existing paradigm as a triplet containing the attributes of the attributes, the information of the control scheme and the result information, and a method of calculating the similarity of the examples is given. Based on the IF-THEN production rule representation method, the inference rules of traffic diversion control strategy with single-point traffic accidents are given in combination with the category attribute of road tunnel emergency and the number of blocked lanes. The simulation results show that compared with the traditional example reasoning method, the traffic control method can shorten the 22% of the plan generation time under the condition of insufficient number of examples, and the method is effective.