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Designing a multimodal feeder network by covering stops with different modes

机译:通过覆盖不同模式的站点来设计多模式馈线网络

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摘要

Mass rapid transit requires a high demand to function economically. It is necessary to provide complementary services, such as buses and vans, to increase the required demand. This results in the possibility of providing high performance transit to a wider area. One of the suggested methods is to establish an integrated system of a feeder network. Using such systems provide not only sufficient demand for the main networks but also the possibility of an integrated public transportation system that extends to the entire city. In this paper, we have proposed a method for designing feeder networks that gives multimodal services at each stop simultaneously by assigning the demand to different modes. The demand assignment is based on optimum use of fleet rather than desirability functions. The objective is to minimize the costs of the users, operators, and society. Furthermore, as multimodal network designing is a complex problem, a metaheuristic approach, ant colony optimization, is used. For illustrating and comparing the results, a real example in Mashhad, Iran, is run through 16 different scenarios: The scenarios were designed with different unit costs, and the results have been compared with the latest study. In all of the scenarios, the network costs are lower than those in other methods.
机译:大规模快速运输要求对经济运行有很高的要求。有必要提供补充服务,例如公共汽车和货车,以增加所需的需求。这导致提供向更大范围的高性能传输的可能性。建议的方法之一是建立馈线网络的集成系统。使用这样的系统不仅为主要网络提供了足够的需求,而且为扩展到整个城市的综合公共交通系统提供了可能性。在本文中,我们提出了一种设计馈线网络的方法,该方法通过将需求分配给不同的模式来同时在每个站点提供多模式服务。需求分配基于舰队的最佳使用,而不是期望功能。目的是最小化用户,运营商和社会的成本。此外,由于多模式网络设计是一个复杂的问题,因此采用了一种元启发式方法,即蚁群优化。为了说明和比较结果,在伊朗Mashhad的一个真实示例通过16种不同的方案进行了运行:方案设计时具有不同的单位成本,并且将结果与最新研究进行了比较。在所有情况下,网络成本均低于其他方法。

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