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基于模糊综合评价的城市快速路交通状态判别研究
引用本文:基于模糊综合评价的城市快速路交通状态判别研究.基于模糊综合评价的城市快速路交通状态判别研究[J].山东科学,2017,30(5):62-69.
作者姓名:基于模糊综合评价的城市快速路交通状态判别研究
作者单位:北京交通大学城市交通复杂系统理论与技术教育部重点实验室,北京100044
基金项目:北京市科技计划(Z121100000312101)
摘    要:选取速度和占有率评价指标,建立基于熵权法和灰色关联分析的快速路交通状态模糊判断模型。模糊综合评价的权重由熵权法和灰色关联分析组合分析得到,最终通过计算得到交通状态的量化结果。结合实例分析可知,方法可行且有效,与基于单一速度或占有率的方法相比,具有较好的稳定性,能够为城市快速路交通状态判别提供理论依据。

关 键 词:交通状态判别  权重分配  交通工程  模糊综合评价  快速路  
收稿时间:2017-04-13

Study on traffic state identification of urban expressway based on fuzzy comprehensive evaluation
CHEN Lun,GU Yuan-li,LU Wen-qi.Study on traffic state identification of urban expressway based on fuzzy comprehensive evaluation[J].Shandong Science,2017,30(5):62-69.
Authors:CHEN Lun  GU Yuan-li  LU Wen-qi
Affiliation:MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
Abstract:In this paper, the speed and occupancy were chosen as the evaluation indicators, and based on entropy method and gray correlation analysis, a fuzzy judgement model of expressway traffic state was established. Note that weight used in fuzzy comprehensive evaluation was obtained by combination of entropy method and gray correlation analysis, and then quantification results of traffic state could be acquired by calculation. According to case study, methodology mentioned in this paper is practicable and effective, and it is of better stability when compared with the method based on either speed or occupancy, so that it can provide a theoretical basis for the traffic state identification of urban expressway.
Keywords:traffic engineering  weight distribution  traffic state identification  expressway  fuzzy comprehensive evaluation  
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