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Jun 29, 2016
The Optimization of Bicycle Sharing System Stations Based on the Latest Repositioning Triggered Time
Publication: CICTP 2016
Abstract
In order to solve the “last mile” problem, bicycle sharing systems are rapidly developing in many cities. Meanwhile during the practical operation phase, the quantities of bikes and vacant lockers can’t meet the fluctuating demand. The reason is complex; besides the disequilibrium of spatial and temporal distribution in demanding of bicycles and lockers, the scales of lockers and the quantities of bicycles at the initial time are two crucial factors affecting the operational condition of the sharing systems. This paper presents the modeling aiming to achieve the latest repositioning time during the morning peak time, combining the practical operational condition to optimize the scales of lockers and the quantities of cycles at the initial time. Improved genetic algorithm is used to achieve the model and obtain a high quality solution to this frequent everyday instance.
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© 2016 American Society of Civil Engineers.
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Published online: Jun 29, 2016
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School of Transportation, Southeast Univ.; Jiangsu Key Laboratory of Urban ITS, Southeast Univ.; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, No. 2, Sipailou, Nanjing 210096, P.R. China. E-mail: [email protected]
School of Transportation, Southeast Univ.; Jiangsu Key Laboratory of Urban ITS, Southeast Univ.; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, No. 2, Sipailou, Nanjing 210096, P.R. China. E-mail: [email protected]
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