基于组合方法的城市道路交通状态评价研究

发布时间：2018-04-18 14:36

本文选题：交通状态评价 + 数据包络分析　；参考：《江西理工大学》2015年硕士论文

【摘要】：随着经济的快速发展,道路上车的种类和数量也愈来愈多,交通拥挤现象也越来越严重。对道路上交通状态进行评价,得到道路的交通状态信息,提供给交通参与者和交通管理者,对缓解交通拥挤,维护交通的稳定是有着非常重要的意义。因此为了更好地评价城市道路的交通状态,从以下几个内容进行研究:第一章介绍国内外的交通拥挤状况,全文的技术路线和结构安排。第二章先对组合方法优势的说明,并指出组合是对评价方法和评价方法中确定权重方法的组合。再介绍几种常用于判断交通拥挤程度的交通流参数,给出本文是着重于对路段和交叉口上的交通状态进行评价分析。第三章是几种常用于评价城市道路交通状态的评价方法(如数据包络分析,云模型,TOPSIS方法,模糊综合评价)进行研究。针对案例的分析,引出第四章对组合评价方法中几种常用的确定评价指标影响权重方法(如主成分分析方法,熵权法,层次分析方法)的研究。第五章是对TOPSIS法,模糊综合评价方法和确定权重的几种方法的组合进行应用研究,最后确定出模糊综合评价方法结合层次分析确定权重的方法对要评价的区域进行研究。实例验证结果表明,交叉口对交通状态的评价占据比较大的权重。同时,层次分析方法中四种计算方法取平均值求得的权重值比四种计算方法单独计算取得的权重值更加合理科学。实例验证了方法的合理性和实用性。第六章是对各种方法的优势与不适用本文评价对象的原因的总结,并且对下一步的研究工作进行展望。
[Abstract]:With the rapid development of economy, there are more and more kinds and quantity of vehicles on the road, and traffic congestion is becoming more and more serious.It is very important to evaluate the traffic state on the road and obtain the traffic state information to provide traffic participants and traffic managers to alleviate the traffic congestion and maintain the traffic stability.Therefore, in order to evaluate the traffic state of urban roads better, the following contents are studied: the first chapter introduces the traffic congestion situation at home and abroad, the technical route and the structure arrangement of the full text.In the second chapter, the advantages of the combination method are explained, and it is pointed out that the combination is the combination of the evaluation method and the method of determining the weight of the evaluation method.Several kinds of traffic flow parameters which are often used to judge the degree of traffic congestion are introduced. The emphasis of this paper is on the evaluation and analysis of traffic conditions on road sections and intersections.In the third chapter, several evaluation methods (such as data envelopment analysis, cloud model TOPSIS method, fuzzy comprehensive evaluation) which are often used to evaluate urban road traffic condition are studied.According to the analysis of cases, the fourth chapter studies several commonly used methods of determining the influence weight of evaluation index (such as principal component analysis, entropy weight and analytic hierarchy process).In the fifth chapter, the combination of TOPSIS method, fuzzy comprehensive evaluation method and several methods to determine the weight are studied. Finally, the fuzzy comprehensive evaluation method combined with the AHP method to determine the weight of the region to be evaluated is studied.The result shows that the evaluation of the traffic state at the intersection occupies a large weight.At the same time, it is more reasonable and scientific for the four calculation methods of AHP to get the weight value by taking the average value than the weight value obtained by the four calculation methods alone.The rationality and practicability of the method are verified by an example.The sixth chapter summarizes the advantages of various methods and the reasons why they are not suitable for this paper, and looks forward to the next research work.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U491

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