2023
DOI: 10.1016/j.asoc.2022.109934
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A digital decision approach for scheduling process planning of shared bikes under Internet of Things environment

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Cited by 11 publications
(12 citation statements)
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“…They found that the Random Forest Regressor, Bagging Regressor, and XGBoost Regressor are more suitable for analyzing the data in the bikesharing system. The large number of e-fences caused high difficulty and cost in scheduling the shred bikes [98]. Wu et al [98] proposed a process planning algorithm for electric dispatching vehicles to schedule the shared bikes.…”
Section: The Improvements Of Public Transportation Efficiencymentioning
confidence: 99%
See 1 more Smart Citation
“…They found that the Random Forest Regressor, Bagging Regressor, and XGBoost Regressor are more suitable for analyzing the data in the bikesharing system. The large number of e-fences caused high difficulty and cost in scheduling the shred bikes [98]. Wu et al [98] proposed a process planning algorithm for electric dispatching vehicles to schedule the shared bikes.…”
Section: The Improvements Of Public Transportation Efficiencymentioning
confidence: 99%
“…The large number of e-fences caused high difficulty and cost in scheduling the shred bikes [98]. Wu et al [98] proposed a process planning algorithm for electric dispatching vehicles to schedule the shared bikes. This algorithm includes demand prediction (i.e., LSTM-GRU) and scheduling subarea division.…”
Section: The Improvements Of Public Transportation Efficiencymentioning
confidence: 99%
“…③ Parking spots status matrix The meaning and value rules of the parking spots state matrix are the same as above. However, since the decision variables and the parking demand matrix are both changed from one-dimensional vectors to two-dimensional matrices, the calculation formula of the parking spots state variables is also converted accordingly, which are shown in formula (25) and formula (26).…”
Section: Adjusted Variablesmentioning
confidence: 99%
“…To cope with the realtime updates of parking demands and shared parking spaces, achieve good allocation effect and high allocation speed, Ning et al designed a meta-heuristic algorithm Advanced and Adaptive Tabu Search (AATS) with an advanced initialization with multi-factor sequencing and an adaptive neighbourhood generation with bi-operator competition [24]. With the support of digital technology, shared transportation has developed greatly in recent years [25,26].…”
Section: Introductionmentioning
confidence: 99%
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