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为使交通规划与生态、资源相协调,基于新型城镇化发展理念,提出了区域差别化排放约束和区域差别化道路土地资源约束,结合Pareto最优解思想,构建了离散交通网络设计双层规划模型。其中上层模型以系统阻抗、投资费用为优化目标,以区域差别化约束为约束条件;下层模型为固定需求下的用户平衡配流模型。在第二代非劣排序遗传算法(NSGAII)基础上设计了模型的求解算法,同时为验证算法是否出现早熟收敛,设计了第k小距离策略代替拥挤距离策略的验证算法,并在Matlab平台上开发了相应的算法程序。在经典Nguyen-Dupuis网络上,求取了模型的Pareto最优解,并验证了设计算法的有效性。为分析约束强度区域范围变化对决策值的影响,进行了区域划分的鲁棒性分析,并得到了资金较充裕与不足情况下的目标决策值变化趋势。
In order to coordinate traffic planning with ecology and resources, based on the concept of new urbanization, regional differential emissions constraints and land resources constraints of regional differential road are proposed. Combined with Pareto optimal solution, a bi-level planning of discrete transportation network design model. Among them, the upper model takes the system impedance and investment cost as the optimization targets and the region differentiation constraint as the constraint condition. The lower model is the user equilibrium distribution and flow model under the fixed demand. In the second generation of non-inferior ranked genetic algorithm (NSGAII) based on the model to solve the algorithm designed to verify whether the algorithm appears premature convergence, the kth small distance strategy to replace the congestion distance strategy verification algorithm, and Matlab platform Development of the corresponding algorithm program. In the classical Nguyen-Dupuis network, the Pareto optimal solution of the model is obtained and the validity of the design algorithm is verified. In order to analyze the influence of the range of constraint strength on the decision value, the robustness of the regional division is analyzed and the tendency of the target decision value is obtained when the funds are more or less sufficient.