基于RFID的多目标模型参考自适应总线优先级

Guangyuan Wang, Guozhen Tan, Yaodong Wang
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引用次数: 1

摘要

在实现总线信号优先级系统时遇到的一个关键问题是确保在总线的延迟和周围交通之间进行权衡。传统的BSP方法对总线进行统一处理,使得空总线可能与满载总线具有相同的优先级,从而导致私有交通的过度延迟。而利用RFID技术,控制模型可以通过识别和获取总线上更详细、实时和动态的数据来实现精细的控制模式。在此基础上,提出了一种基于RFID的公交优先级智能确定方法,该方法同时考虑了公交乘客总延误和私家车总延误的双目标优化。当使用总线信号优先级时,其结果是在交通量较高的情况下显著减少了私人交通延迟。此外,所提出的控制方法也可应用于类似的复杂网络物理系统的协调。
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Multi-objective model reference adaptive bus priority based on RFID
A critical issue encountered in implementing a bus signal priority system is to ensure a trade-off between the delay of a bus and the surrounding traffic. Traditional BSP methods treat buses uniformly so that an empty bus may have the same priority to the full loaded bus, and lead to an excessive delay for private traffic. However, with RFID technique, a control model can realize delicate control mode by identifying and acquiring more detailed, real-time and dynamic data on the bus. Hence, An intelligent method for determing bus priority based on RFID is proposed, assuming two-objective optimization of both on-bus passengers' total delay and private vehicles total delay. The result is a considerable reduction in private traffic delay with higher traffic volume when using bus signal priority. What's more, the proposed control method could also be applied to the coordination of similar complex cyber-physical systems.
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