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Traffic Flow Theory-Based Stochastic Optimization Model for Work Zones on Two-Lane Highways

机译:基于交通流理论的两车道高速公路工作区随机优化模型

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摘要

Road maintenance is essential to ensure a safe and efficient transportation system. Unfortunately, work zones can give rise to significant delays to road users. In this paper, two major limitations in the current work zone optimization models are addressed. First, we relax the assumption of determinism, and model vehicle arrivals as being stochastic. While previous work has shown that this relaxation is important in the quantification of user delay at work zones, no model exists that explicitly accounts for stochasticity in the optimization of work zones. Second, unlike in previous work in which idealized traffic flow modeling techniques have been used, the proposed model employs the traffic flow theory-based cell transmission model, yielding a more accurate and realistic representation of traffic flow dynamics. The focus in this paper is on two-lane two-way highways. A case study is presented to illustrate the proposed model.
机译:道路养护对于确保安全高效的运输系统至关重要。不幸的是,工作区域会给道路使用者带来严重的延误。本文解决了当前工作区优化模型中的两个主要限制。首先,我们放宽对确定性的假设,并将车辆到达建模为随机的。尽管先前的工作表明,这种放松对于量化工作区的用户延迟很重要,但没有模型可以明确地说明工作区优化中的随机性。第二,与以前的工作中使用理想的交通流建模技术不同,该模型采用了基于交通流理论的小区传输模型,从而可以更准确,更实际地表示交通流动力学。本文的重点是两车道双向道路。提出了一个案例研究来说明所提出的模型。

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