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Optimized Research On Land Utilization Based On The Constraint Of Road Network Capacity

Posted on:2015-01-08Degree:MasterType:Thesis
Country:ChinaCandidate:Q ChenFull Text:PDF
GTID:2269330428979177Subject:Traffic and Transportation Engineering
Abstract/Summary:PDF Full Text Request
In the process of planning, the capacity of urban road network is one of the most important factors in determining land use intensity. In the research, the spatiotemporal consumption of road resource is brought in, and on this basis, the capacity of road network and the consumption of road resource are quantitative analyzed. Then the microcosmic relationship model of road capacity and land use intensity is established to optimize lands utilities.Based on the analysis of relationship between road capacity and land use, the research uses road spatiotemporal consumption and road capacity to describe the relationship between traffic supply and traffic demand. Then establishing nonlinear programming model to state this problem, and designing two algorithms to solve this problem respectively. At last, an example is used to verify this theory. The main contents of this research are as follow.1. Based on the analysis of traffic flow model and BPR model, propose the calculation method of the parameters in spatiotemporal consumption. So that status of traffic could be described accurately.2. Using four-stage travel demand forecasting model in microcosmic way. The traffic zones are divided by block. The gateway of each block should also be considered.3. Designing a case that using the method of spatiotemporal consumption to verify the rationality of this research.4. On the basis of spatiotemporal consuming method, establishing a nonlinear programming model to describe the relationship between land development intensity and road network capacity.5. Writing program based on TransCAD secondary development to solve the nonlinear programming.6. Designing a case to verify the rationality of model and algorithms.
Keywords/Search Tags:Urban Traffic, Road Network Capacity, land Use Intensity, spatiotemporalconsumption, Nonlinear Programming Model
PDF Full Text Request
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