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首页> 外文期刊>Journal of Intelligent Transportation Systems >Short-Term Arterial Travel Time Prediction for Advanced Traveler Information Systems
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Short-Term Arterial Travel Time Prediction for Advanced Traveler Information Systems

机译：先进旅行者信息系统的短期动脉旅行时间预测

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摘要

While vehicular flows on freeways are often treated as uninterrupted flows, flows on arterials are conceivably much more complicated because vehicles traveling on arterials are not only subject to queuing delay but also to signal delay. Prediction of travel time is potentially more challenging for arterials than for freeways. This article proposes a simple model for arterial travel time prediction. The proposed approach decomposes total delay on an arterial into link delay and intersection delay. Intersection delay in the context of arterial travel time prediction is very different from the average delay at an intersection. The proposed approach reduces the delay at each intersection, a non-negative continuous variable, into two distinctive states, a state of zero-delay and a state of nominal delay, coupled with a one-step transition matrix that relates the delay to a through vehicle at an intersection to its delay status at the adjacent upstream intersection. The parameters of the transition matrix are based on three key factors: the flow condition, the proportion of net inflows into the arterial from the cross streets, and the signal coordination level. Comparison of predicted delay with simulated delay indicates that the model can yield predictions with a reasonable degree of accuracy under various traffic conditions and signal coordination levels.
机译：尽管高速公路上的车辆流量通常被视为不间断的流量，但可以想象，动脉上的流量要复杂得多，因为在动脉上行驶的车辆不仅会受到排队延迟的影响，而且还会受到信号延迟的影响。相对于高速公路，对动脉的行进时间的预测可能更具挑战性。本文提出了一个简单的动脉旅行时间预测模型。所提出的方法将动脉的总延迟分解为链路延迟和交叉路口延迟。动脉行进时间预测中的路口延迟与路口的平均延迟有很大不同。所提出的方法将每个交点处的延迟（非负连续变量）减少为两个独特的状态，零延迟状态和标称延迟状态，以及将延迟与通过关联的单步转换矩阵。交叉路口的车辆到达其在相邻上游交叉路口的延迟状态。过渡矩阵的参数基于三个关键因素：流量条件，从十字路口流入动脉的净流入比例和信号协调水平。将预测的延迟与模拟的延迟进行比较表明，该模型可以在各种交通状况和信号协调级别下以合理的准确度得出预测。

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