文章基本信息

标题：Evaluating Performance of a Proactive Optimal Variable Speed Limit Control Using Different Objective Functions
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作者：Md. Hadiuzzaman ; Md. Hadiuzzaman ; Jie Fang 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2013
卷号：96
页码：2895-2906
DOI：10.1016/j.sbspro.2013.08.321
语种：English
出版社：Elsevier
摘要：AbstractProactive optimal Variable Speed Limit (VSL) control is a promising solution to improve both the freeway capacity and the travel time. Despite this well-recognized fact, most of the previous studies found that the VSL control strategy was capable of improving only the freeway travel time. This finding hinders the overall mobility benefits from the computationally intensive proactive optimal VSL control and its credibility compared to the other control strategies those do not involve real-time traffic state prediction and optimization. To resolve this issue, in this paper, the authors adopt a previously developed novel VSL control strategy that explicitly considers traffic characteristics at active bottleneck, and its upstream-downstream links. Then, the performance of the control strategy has been evaluated within a predictive control framework, considering several objective functions (including stand-alone objective and combination of multiple objectives). Moreover, within the control framework, DynaTAM-VSL has been used as a prediction model. To find the optimal values of control variable at each control horizon, the authors adopt the multi-start Sequential Quadratic Programming, which starts a local solver from multiple start points. A sensitivity analysis is performed to see how the weight parameters of the partial objectives influence the VSL performance, which resolves existing paradoxical results of VSL mobility benefits. In addition, the model is simulated for a range of demand inputs, and analysis is carried out to see how efficient the VSL control is to improve the freeway mobility.
关键词：Model predictive control;variable speed limit;capacity drop;METANET;DynaTAM-VSL