基于模糊软集合的交通安全设施评价
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摘要
为了提高高速公路的行车安全以及行车舒适,对交通安全设施进行评价有很大的意义。传统的评价方法、无法确保评价的准确性与全面性,而模糊软集合保证了评价信息的准确性,故文章引入模糊软集合的方法对高速公路的交通安全设施进行评价。通过调查分析了部分高速公路的交通安全设施完备情况,对比各高速公路交通安全设施的适用性,构建出科学、合理、全面的高速公路交通安全设施评价指标;再结合实际的研究情况将各评价指标分为定性评价指标和定量评价指标,定量评价指标需要统一量纲化为属于[0,1]之间的数值,定性评价指标在评价过程中考虑专家的个人偏好,允许各专家的个人评价指标集具有一定的差异,然后利用模糊软集合将定性评价和定量评价进行信息融合,最后运用java语言以及excel表格处理数据,进而得到最终的评价结果。研究结果表明:该评价方法不仅可以灵活的表达各评判专家主观判断,并且能合理有效地处理信息的不准确性,符合人的思维判断过程。
In order to improve the driving safety of the expressway and the comfortable driving, it is of great significance to evaluate the traffic safety facilities. The traditional evaluation method can not guarantee the comprehensiveness and accuracy of the evaluation, while the fuzzy soft collection guarantees the accuracy of the evaluation information. Therefore, this paper introduces the method of fuzzy soft set to evaluate the traffic safety facilities of expressway, investigates and analyzes the completeness of traffic safety facilities of some expressways, compares the applicability of traffic safety facilities of all expressways, and constructs a scientific, rational and comprehensive of the highway traffic safety facilities evaluation index; combined with the actual research situation of the evaluation index is divided into qualitative evaluation index and quantitative evaluation index, the quantitative evaluation index needs to be unified dimension into the value belonging to [0,1], qualitative evaluation indicators in the evaluation process to consider the individual preferences of experts to allow each expert has a different set of personal evaluation indicators, and then the use of fuzzy sets to qualitative evaluation and quantitative evaluation of information fusion, the final use of java language and excel tables to process the data, and then get the final evaluation results. The results show that this evaluation method not only can flexibly express the subjective judgment of experts, but also deal with the uncertainty of information effectively and reasonably, which is in line with the process of human thinking.
In order to improve the driving safety of the expressway and the comfortable driving, it is of great significance to evaluate the traffic safety facilities. The traditional evaluation method can not guarantee the comprehensiveness and accuracy of the evaluation, while the fuzzy soft collection guarantees the accuracy of the evaluation information. Therefore, this paper introduces the method of fuzzy soft set to evaluate the traffic safety facilities of expressway, investigates and analyzes the completeness of traffic safety facilities of some expressways, compares the applicability of traffic safety facilities of all expressways, and constructs a scientific, rational and comprehensive of the highway traffic safety facilities evaluation index; combined with the actual research situation of the evaluation index is divided into qualitative evaluation index and quantitative evaluation index, the quantitative evaluation index needs to be unified dimension into the value belonging to [0,1], qualitative evaluation indicators in the evaluation process to consider the individual preferences of experts to allow each expert has a different set of personal evaluation indicators, and then the use of fuzzy sets to qualitative evaluation and quantitative evaluation of information fusion, the final use of java language and excel tables to process the data, and then get the final evaluation results. The results show that this evaluation method not only can flexibly express the subjective judgment of experts, but also deal with the uncertainty of information effectively and reasonably, which is in line with the process of human thinking.
引文
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[12]吴瑶,陆建,郭延永.基于集对分析的高速公路交通安全设施评价[J].武汉理工大学学报,2014,36(11):71-76.
[13]胡启洲,陆化普,戴帅,等.基于属性识别的高速公路交通安全评价模型[J].中国安全科学报,2009,19(11):146-151.
[14]冯永飞.基于模糊综合评判法的交通安全设施技术评价[J].山西建筑,2012,38(35):280-282.
[15]郭延永,刘攀,吴瑶,等.基于属性识别的高速公路交通安全设施系统评价[J].东南大学学报(自然科学版),2013,43(6):1305-1311.
[16] Park Y, Saccomanno F F. Evaluating Speed Consistency Between Successive Elements of a Two Lane Rural High-way[J].Transportation Rrsrarch:Part A, 2006,40(5):375-385.
[17] P. Misaghi, et al. Modeling Operation S-peed and Speed Differential on Two-lane Rural Roads[J]. Joumal of Tran-sportation Engineering, 2005,131(6):408.
[18] American Association of Highway and Transportation Officials. A Guide for Achieving Flexibility in Highway Design[M].USA, May, 2004.
[19] Castro Maria, Sanchez Jose A, et al. Automated GIS-Bas-ed System for Speed Estination and Highway Safety Evaluation[J].Ameri-can Society of Civil Engineer(ASCE), 2008,22(5):325.
[20] Maji P K, Biswas R, Roy A R. Fuz-zy soft sets[J]. Tournal of Fuzzy Mathematics, 2001,9(3):589-602.
[21]岳峰,苏兆品,陆阳.基于模糊软集合的软件质量综合评价方法[J].系统工程与电子技术,2013,35(7):1460-1466.
[2] Ossadnik W, Lange O. AHP-based eval-uation of AHP-software[J]. European J-ournal of Operational Research, 1999,118(3):578-588.
[3] Karlsson J, Wohlin C, Regnell B. An evaluation of methods for prioritizing software requirements[J]. Information&Software Technology, 1998,39(14-15):939-947.
[4] Liang C, Li Q. Fuzzy theory and AHP based manufacturing execution systems(MES)vendor service quality evaluation method study[C]//Proc. of the IEEE International Conference on Service Oper-ations and Logistics, and Informatics, 2006:764-769.
[5] J B Zhou, H Chen, B Yan, et al. Risk Assessment of Operation Saf-ety in Freeway Tunnels:An Evaluation Approach Using Multiple Safety Indic-es[J]. Journal of Transportation Safety&, Security, 2014,6(2):93-116.
[6]王婉秋,方守恩,孙道成.基于灰色关联度的道路交通安全管理设施多层模糊综合评价[J].武汉理工大学学报(交通科学与工程版),2010,34(4):652-656.
[7]王建军,刘乙橙,吴宜淞.高速公路交通安全设施系统评价指标及评价方法研究[J].交通运输系统工程与信息,2007(4):66-70.
[8]王可意,徐东强.公路安全防护设施可靠性评价研究[J].铁道科学与工程学报,2016,13(1):196-200.
[9] Yao Wu, Jian Lu, Wan Qiu Zhu, et al. Evaluation of Highway Traffi-c Safety Facilities Based on Set Pair A-nalysis[J]. Applied Mechanics and Ma-terials, 2015,3823(730):73-76.
[10] Guo Ling Jia, Rong Guo Ma, Ya Juan Deng. On the Application of Ant C-olony Neural Network for the High-way Traffic Safety Facilities System[J]. Advanced Materials Research, 2014,3326(989):2675-2678.
[11]马健霄,孙伟,韩宝睿.城市道路交通安全模糊评价指标体系建立及应用[J].森林工程,2008(1):65-67.
[12]吴瑶,陆建,郭延永.基于集对分析的高速公路交通安全设施评价[J].武汉理工大学学报,2014,36(11):71-76.
[13]胡启洲,陆化普,戴帅,等.基于属性识别的高速公路交通安全评价模型[J].中国安全科学报,2009,19(11):146-151.
[14]冯永飞.基于模糊综合评判法的交通安全设施技术评价[J].山西建筑,2012,38(35):280-282.
[15]郭延永,刘攀,吴瑶,等.基于属性识别的高速公路交通安全设施系统评价[J].东南大学学报(自然科学版),2013,43(6):1305-1311.
[16] Park Y, Saccomanno F F. Evaluating Speed Consistency Between Successive Elements of a Two Lane Rural High-way[J].Transportation Rrsrarch:Part A, 2006,40(5):375-385.
[17] P. Misaghi, et al. Modeling Operation S-peed and Speed Differential on Two-lane Rural Roads[J]. Joumal of Tran-sportation Engineering, 2005,131(6):408.
[18] American Association of Highway and Transportation Officials. A Guide for Achieving Flexibility in Highway Design[M].USA, May, 2004.
[19] Castro Maria, Sanchez Jose A, et al. Automated GIS-Bas-ed System for Speed Estination and Highway Safety Evaluation[J].Ameri-can Society of Civil Engineer(ASCE), 2008,22(5):325.
[20] Maji P K, Biswas R, Roy A R. Fuz-zy soft sets[J]. Tournal of Fuzzy Mathematics, 2001,9(3):589-602.
[21]岳峰,苏兆品,陆阳.基于模糊软集合的软件质量综合评价方法[J].系统工程与电子技术,2013,35(7):1460-1466.
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