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An Intelligent Bus Scheduling System Based On Real-Time Passenger Flow Data

机译:基于实时乘客流量数据的智能总线调度系统

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This paper introduces a new bus real-time passenger flow data acquisition method to obtain data such as the passengers' arrival pattern. Using the real-time passenger flow data collected by this method, we put forward a hybrid departure scheduling model for different bus models of the same bus line, which could be solved by a genetic algorithm. Finally, we give an example to verify that the algorithm presented in this paper can figure out the bus schedule which is more suitable for the practical circumstances and solve the timetable compiling problem of the mixture dispatching of different models. Therefore, the data acquisition method and dispatching algorithm presented in this paper is reliable and effective.
机译:本文介绍了一种新的总线实时客流数据采集方法,以获得乘客到达模式的数据。使用此方法收集的实时乘客流量数据,我们提出了一种用于不同总线模型的混合出发调度模型,可以通过遗传算法解决。最后,我们举例说明了验证本文中提出的算法可以弄清楚更适合实际情况并解决不同模型的混合调度的时间表编译问题的总线时间表。因此,本文呈现的数据采集方法和调度算法可靠且有效。

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