The Optimization Methods Of Slow Mode Traffic Network On The Urban Regional Area

More and more practice proves that the traditional motor vehicle road network optimization method can not be fully applied to the urban slow-moving road network.Based on the summary of the absorption of multiple theoretical studies,this paper establishes the urban regional slow-moving road network from slow.Demand forecasting,a complete set of optimization method systems for road network structure optimization and road network level optimization.Firstly,this paper introduces the spatial syntactic theory,based on the data analysis of some road sections and the spatial variables of the slow road network,using linear regression to establish the correlation between the slow road traffic and the spatial analysis variables,based on which the slow demand forecast is based and based on The nature of the regional land is used to correct the prediction results.Secondly,this paper introduces the theory of traffic microcirculation,defines the slowmoving micro-circulation,analyzes the main influencing factors of chronic travel,and proposes the area optimization and micro-circulation supplementary path search based on the slow-moving neighborhood scale and the slow road saturation.method.Finally,this paper introduces the complex network theory,clarifies the grading standard of slow-moving road network,establishes the complex network model of regional road network P space by dual topology method,and judges the node category based on the calculation result of node network feature index through fuzzy clustering.Slow road grade division.At the same time of theoretical analysis and framework establishment,this paper takes the old-style community gathering area south of Linjiang Avenue in Qingshan District of Wuhan as the research area,and gradually applies the slow demand forecasting method,road network structure optimization method and road network level optimization method to research.