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中文摘要：
分析了当前大城市多模式公交网络结构,构建了多模式公交超级网络;研究了公交出行者的策略选择行为,在考虑行程时间可靠性、座位期望以及诸多延误因子的基础上改进了策略阻抗模型;提出了BRT网络设计的双层规划模型：下层模型以改进策略阻抗模型为前提,进行了多模式公交网络平衡配流,上层模型旨在优化BRT的线路走向和布局;基于遗传算法和粒子群优化,设计了求解该双层规划模型的混合启发式算法,并用一个简单算例验证了本研究中模型与算法的可行性,提出了BRT线网优化设计的建议。
英文摘要：
A super graph of multi-modal transit network was constructed through deep analysis of the architecture of urban multi-modal transit system.The impedance model of travel strategy was improved after analyzing travelers＇ strategy-choosing preference in consideration of the reliability of travel time,seat expectation and a variety of unexpected delay.A bi-level programming model was proposed,in which the lower-level model is a multi-mode transit network equilibrium assignment based on the improved impedance model of travel strategy and the upper-level modal is supposed to optimize the routing and layout for bus rapid transit（BRT） network design.A hybrid heuristic algorithm,which is a combination of genetic algorithm and particle swarm optimization,was designed to solve the models.Finally,a numeric example was presented to verify the designed models and the algorithm.
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