Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2013-07-27

Journal: Applied Mechanics and Materials

Included Journals: Scopus、CPCI-S、EI

Volume: 409-410

Page Number: 1357-1365

ISSN: 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.