基于广义径向基神经网络的城市道路运行状况评价研究

发布时间：2018-07-26 20:52

【摘要】：随着社会的不断发展，人们生活水平不断提高，，私家车在出行工具中所占比例越来越大，再加上城市道路基础设施不健全、交通规划不尽合理，导致城市道路交通运行状况越来越差，交通拥堵和交通事故时常发生。为了改善城市道路交通运行状况，首先要对其进行评估，以便得到合理有效的交通控制措施。因此，对城市道路交通运行状况的评价非常必要且意义重大。本文以交通拥堵分析为途径来衡量和表征城市道路运行状况，如果拥堵严重则认为道路运行状况差，如果没有拥堵则认为道路运行状况良好。首先，通过对城市道路交通拥堵的成因、影响因素以及交通流特性等的分析研究，建立了道路拥堵度的评价指标体系；然后，通过比较分析，选取广义径向基神经网络的优化算法建立城市道路交通拥堵度的计算模型；进一步地，以西安市典型局部路网为研究对象，通过为期两周的晚高峰时刻实地调查研究，以MATLAB2010为运行平台，对该路网中各个样本路段以及典型路段全天交通拥堵度进行综合评价，进而找出其拥堵发生的位置、成因以及时刻点，为制定城市交通运行管理措施提供科学的依据；最后，使用加权平均法对整个路网在晚高峰时刻的交通运行状况进行评价，评价结果中交通运行状况指标值最低的那条路径即为最优出行路径。对最优出行路径的评定有利于出行者规避交通拥堵路段，提高出行效率。
[Abstract]:With the development of society, people's living standard is improving, the proportion of private cars in travel tools is increasing, and the urban road infrastructure is not perfect, and the traffic planning is not reasonable. As a result, traffic jams and accidents often occur in urban roads. In order to improve the operation of urban road traffic, it is necessary to evaluate it first so as to obtain reasonable and effective traffic control measures. Therefore, the evaluation of urban road traffic operation is very necessary and significant. In this paper, traffic congestion analysis is used to measure and characterize the operation of urban roads. If the traffic congestion is serious, the road running condition is considered to be poor, and if there is no congestion, the road operation condition is considered to be good. First of all, through the analysis of the causes, influencing factors and traffic flow characteristics of urban road traffic congestion, the evaluation index system of road congestion degree is established, and then, through comparative analysis, The optimization algorithm of the generalized radial basis function neural network is selected to establish the calculation model of the traffic congestion degree of the urban road. Further, taking the typical local road network in Xi'an as the research object, the field investigation of the late rush hour for two weeks is carried out. Taking MATLAB2010 as the operating platform, this paper comprehensively evaluates the traffic congestion degree of each sample section and typical section of the road network, and then finds out the location, cause of formation and time point of the congestion. Finally, the weighted average method is used to evaluate the traffic condition of the whole road network at the late rush hour. In the evaluation result, the path with the lowest index value of traffic running condition is the optimal travel path. The evaluation of the optimal travel path is helpful to avoid the traffic congestion and improve the travel efficiency.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491

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