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Application of queuing models to electronic toll collection,

机译:排队模型在电子收费中的应用,

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Abstract: Electronic Toll Collection (ETC) via Automatic Vehicle Identification (AVI) technology has significantly altered traffic operations during toll collection. In particular, the value of the average processing rate of a lane providing both ETC service as well as a traditional service, fluctuates over the rush hour between the average value of the processing rate of the traditional service and the capacity of the ETC service. This study develops a queuing model to address the changing processing rates for the different mixed lanes. The model is applied to the westbound 9-lane portion of the Holland East Plaza in Orlando, FLorida. Data is evaluated for 6 different rush hours that include 3 different configuration patterns implemented over a period of 3 years. In the first configuration, only the traditional toll collection services are provided. In another configuration, all traditional lanes become mixed to include ETC except for the center lane, which becomes a lane dedicated solely to ETC service. In a final configuration, two lanes become dedicated to ETC service. !11
机译:摘要:通过自动车辆识别(AVI)技术的电子收费系统(ETC)大大改变了收费系统中的交通运营。尤其是,既提供ETC服务又提供传统服务的车道的平均处理速率的值,在高峰时段在传统服务的处理速率的平均值与ETC服务的容量之间波动。这项研究建立了一个排队模型,以解决不同混合车道的变化处理速度。该模型应用于佛罗里达州奥兰多市的荷兰东广场的西行9车道部分。对数据进行了6次不同的高峰时间评估,其中包括3年内实施的3种不同的配置模式。在第一种配置中,仅提供传统的收费服务。在另一种配置中,除中心车道(所有车道专用于ETC服务)之外,所有传统车道都被混合为包括ETC。在最终配置中,两条通道专用于ETC服务。 !11

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