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Data-Driven Integrated Control Strategy for Postponing Early-Onset Breakdowns on Urban Expressway On-Ramp Bottlenecks in Shanghai

机译:数据驱动的集成控制策略,用于推迟上海城市高速公路匝道瓶颈的早期故障

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Previous studies have shown that Shanghai expressway on-ramp bottleneck's pre-queue flow is much lower than that of similar facilities in US. The objective of this paper is to design a data-driven control strategy for combining ramp metering (RM) and variable speed limits (VSL) to postpone the early-onset breakdown at urban expressway bottlenecks in Shanghai. The breakdown probability prediction model is extended via a flow based regulator model to control the collective vehicle speed of mainline traffic. The proposed strategy was tested at two expressway recurrent bottlenecks using the VISSIM microscopic simulation. The proposed strategy postponed the breakdown time by 10 minutes compared to 2-5 minutes achieved by ALINEA strategy. Additionally, the proposed strategy increased the pre-queue flow by 12.9% to 18.1% and reduced total travel time by 4.7% to 14.7%.
机译:以前的研究表明,上海高速公路匝道的瓶颈前行流量远低于美国的同类设施。本文的目的是设计一种数据驱动的控制策略,以结合坡度计量(RM)和变速限速(VSL)来推迟上海城市高速公路瓶颈的较早发生的故障。故障概率预测模型通过基于流量的调节器模型扩展,以控制干线交通的总体车速。使用VISSIM微观仿真在两个高速公路经常性瓶颈处测试了所提出的策略。提议的策略将故障时间推迟了10分钟,而ALINEA策略则将故障时间缩短了2-5分钟。此外,提出的策略将排队前的流量增加了12.9%,达到18.1%,并将总旅行时间减少了4.7%,达到14.7%。

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