【摘要】 为客观、有效地评价交通拥堵的程度,选择路段的平均行程速度和时间占有率、交叉口的饱和度、每车平均延误、平均最大排队长度这5个对交通状态的变化最为敏感且容易获取的参数作为评价指标,设计了一种基于模糊综合评判的交通状态判别模型。该模型运用模糊层次分析法(FAHP)来计算评价指标的权重,运用加权平均法将模型的输出结果量化为具体数值。模拟仿真结果表明,模型是可行且有效的,从而为缓解交通拥堵及相关措施的制定提供理论基础。更多还原

【Abstract】 In order to evaluate traffic congestion more objectively and effectively,average travel speed and occupancy of road section,saturation,vehicle average delay and average maximum queue length of intersection are selected as evaluation indexes,These five evaluation indexes have the most sensitive response to traffic state changes and can be acquired easily.A model for traffic state recognition based on fuzzy comprehensive evaluation is designed.FAHP is adopted to compute the weight of these evaluation indexes,and weighted average method is adopted to translate the model outputs into specific value.Through simulation,feasibility and rationality of this model are tested,so that the theoretical basis is provided for instituting measures that relieve traffic congestion.更多还原