首页> 外文会议>International Conference on Urban Transport and the Environment in the 21st Century; 2007; Coimbra(PT) >Urban network travel time estimation from stop-line loop detector data and signal controller data
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Urban network travel time estimation from stop-line loop detector data and signal controller data

机译:根据停车线回路检测器数据和信号控制器数据估算城市网络的旅行时间

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摘要

This paper presents a model to estimate travel time using cumulative plots. Three different cases are considered: ⅰ) case-Det, for only detector data; ⅱ) case-DetSig, for detector data and signal controller data and ⅲ) case-DetSigSFR, for detector data, signal controller data and saturation flow rate. The performance of the model for different detection intervals is evaluated. It is observed that detection interval is not critical if signal timings are available. Comparable accuracy can be obtained from larger detection interval with signal timings or from shorter detection interval without signal timings. The performance for case-DetSig and for case-DetSigSFR is consistent with accuracy generally more than 95% whereas case-Det is highly sensitive to the signal phases in the detection interval and its performance is uncertain if detection interval is an integral multiple of signal cycles.
机译:本文提出了一种使用累积图估算旅行时间的模型。考虑了三种不同的情况:ⅰ)case-Det,仅用于检测器数据; )case-DetSig,用于检测器数据和信号控制器数据,ⅲ)case-DetSigSFR,用于检测器数据,信号控制器数据和饱和流量。评估了模型在不同检测间隔下的性能。可以看出,如果信号定时可用,则检测间隔不是关键的。可以从具有信号定时的较大检测间隔或从没有信号定时的较短检测间隔中获得可比较的精度。 case-DetSig和case-DetSigSFR的性能通常与95%以上的精度保持一致,而case-Det对检测间隔中的信号相位高度敏感,如果检测间隔是信号周期的整数倍,则其性能不确定。

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