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Indexed by:期刊论文

Date of Publication:2013-07-27

Journal:Applied Mechanics and Materials

Included Journals:EI、CPCI-S、Scopus

Volume:409-410

Page Number:1357-1365

ISSN No.:9783037858585

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

Abstract: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.