基于云模型的信号交叉口服务质量综合评价
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摘要
为科学处理信号交叉口服务质量评价过程中的随机性和模糊性,构建基于云模型的模糊综合评价模型。首先在分析各项影响因素及其标准的基础上,建立信号交叉口评价指标体系和评分等级。然后构造云模型正向发生器确定各二级指标的隶属度向量,结合各项指标的权重系数计算信号交叉口服务质量的评判结果,由最大隶属原则确定其服务质量等级。最后以长沙市某交叉口服务质量评价为例开展案例分析,结果表明该方法能有效解决模糊评价中隶属度的不确定性问题,为改善城市交叉口、制定交通管理策略提供一种合理的参考依据。
To scientifically deal with randomness and fuzziness in the process of evaluating the service quality of signalized intersection,a fuzzy comprehensive evaluation model based on cloud model is developed.In the beginning,the evaluation index system and scoring grade of signalized intersection were built based on the analysis of the influence factors and their standards.Then,the forward generator of the cloud model is established to determine the subordinate degree vectors of the two-level indices,and the evaluation results of the service quality of signalized intersections are calculated with the weight coefficient of each index.The final service quality grade is determined by the principle of maximum subordination.At last,a case study is carried out to evaluate the service quality of one intersection in Changsha.The result shows that the method can effectively solve the uncertainty of membership degree in fuzzy evaluation,and provide a reasonable reference for improving the intersection of city and making traffic management strategy.
To scientifically deal with randomness and fuzziness in the process of evaluating the service quality of signalized intersection,a fuzzy comprehensive evaluation model based on cloud model is developed.In the beginning,the evaluation index system and scoring grade of signalized intersection were built based on the analysis of the influence factors and their standards.Then,the forward generator of the cloud model is established to determine the subordinate degree vectors of the two-level indices,and the evaluation results of the service quality of signalized intersections are calculated with the weight coefficient of each index.The final service quality grade is determined by the principle of maximum subordination.At last,a case study is carried out to evaluate the service quality of one intersection in Changsha.The result shows that the method can effectively solve the uncertainty of membership degree in fuzzy evaluation,and provide a reasonable reference for improving the intersection of city and making traffic management strategy.
引文
[1] 朱兴琳.基于不确定性理论的城市道路交叉口服务水平综合评价[J].公路工程,2014(1):116-120.
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[9] 赵顺,刘小勇,关雅丽,等.城市信控交叉口机动车交通影响评价[J].交通科技与经济,2015,17(4):56-59
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[11]杜湘瑜,尹全军,黄柯棣,等.基于云模型的定性定量转换方法及其应用[J].系统工程与电子技术,2008(4):772-776.
[12]李德毅,杜鹢.不确定性人工智能[M].北京:国防工业出版社,2005:84-184.
[13]李雪,赵宁,郑晅.基于云模型的道路交通安全等级评价[J].北京工业大学学报,2015,41(8):1219-1224.
[14]李小静,牟海波,刘立舰,等.模糊综合评判法在城市交叉口综合质量评价中的应用[J].世界科技研究与发展,2012,34(3):382-386.
[15]许玮珑.城市干道与信号交叉口服务水平的模糊综合评价研究[D].西安:长安大学,2001.
[2] 郭礼照,杨三强,周良川,等.基于模糊层次分析法的高速公路交通安全综合评价[J].交通科技与经济,2017,19(2):8-12.
[3] 李德毅,孟海军,史雪梅.隶属云和隶属云发生器[J].计算机研究与发展,1995,32(6):15-20.
[4] 李德毅,刘常昱,淦文燕.正态云模型的重尾性质证明[J].中国工程科学,2011,13(4):20-23.
[5] 帅青燕,何亚伯.基于云模型的坝基岩体质量综合评价[J].东南大学学报(自然科学),2013,43(增1):54-58.
[6] 李德毅,刘常昱.论正态云模型的普适性[J].中国工程科学,2004,6(8):28-34.
[7] 王炜,过秀成.交通工程学[M].南京:东南大学出版社,2000.
[8] 程巧梦,张广泰,王立晓.基于AHP的城市道路交通安全评价指标体系[J].交通科技与经济,2014,16(5):1-4,30.
[9] 赵顺,刘小勇,关雅丽,等.城市信控交叉口机动车交通影响评价[J].交通科技与经济,2015,17(4):56-59
[10]晏克非.城市道路交通枢纽系统分析与评价[J].华东公路,1985(3):29-39.
[11]杜湘瑜,尹全军,黄柯棣,等.基于云模型的定性定量转换方法及其应用[J].系统工程与电子技术,2008(4):772-776.
[12]李德毅,杜鹢.不确定性人工智能[M].北京:国防工业出版社,2005:84-184.
[13]李雪,赵宁,郑晅.基于云模型的道路交通安全等级评价[J].北京工业大学学报,2015,41(8):1219-1224.
[14]李小静,牟海波,刘立舰,等.模糊综合评判法在城市交叉口综合质量评价中的应用[J].世界科技研究与发展,2012,34(3):382-386.
[15]许玮珑.城市干道与信号交叉口服务水平的模糊综合评价研究[D].西安:长安大学,2001.