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发布时间：2019-03-11

论文类型：期刊论文

发表时间：2013-07-27

发表刊物：Applied Mechanics and Materials

收录刊物：Scopus、CPCI-S、EI

卷号：409-410

页面范围：1357-1365

ISSN号：9783037858585

关键字：actuated signal; unit green extension; travel demand pattern; mixed-integer programming; genetic algorithm

摘要：Actuated signals are able to adjust phase intervals in a real-time manner, in response to the traffic conditions obtained from vehicle detectors. These adjustments are implemented through a set of pre-determined controller parameters, including the unit green extension. This paper develops a model based on cell transmission model (CTM) to optimize the unit green extension, explicitly considering the stochastic demand arrivals, which, from a disaggregated view, imposes significant impact on individual vehicle delay and thus influences the overall system performance. The vehicle actuation logic is mathematically formulated as a system of equalities and inequalities. Genetic algorithm is employed to solve the resulted mixed-integer problem and numerical examples are presented to generate optimal unit green extensions under various demand patterns.