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Deterministic and Stochastic Simulation: A Combined Approach to Passenger Routing in Railway Systems

机译:确定性和随机仿真:铁路系统乘客路线的组合方法

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Passenger routing in railway systems has traditionally relied on fixed timetables, working under the assumption that actual performance always matches the planned schedules. The complex variable interplay found in railway networks, however, make it practically impossible for trains to systematically hold the designed timetables as delays are a common occurrence in these systems. A more sensible approach to passenger routing involves assessing the probability distributions that characterize the system and consider them in the routing recommendation. This paper describes one such approach using a simulation model working under both deterministic and stochastic conditions and describes the weak points of a deterministic routing strategy in a complex system.
机译:铁路系统中的乘客路由传统上依赖于固定时间表,在假设实际性能始终符合计划的时间表之下工作。 然而,在铁路网络中发现的复数变量相互作用使得在系统地将设计的时间表系统上保持不可能作为这些系统的常见发生。 对乘客路由的一种更明智的方法涉及评估表征系统的概率分布,并在路由推荐中考虑它们。 本文介绍了一种使用在确定性和随机条件下工作的仿真模型的一种这种方法,并描述了复杂系统中的确定性路由策略的弱点。

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