Name
Title | ||
|---|---|---|
A simulation and machine learning based optimization method for integrated pedestrian facilities planning and staff assignment problem in the multi-mode rail transit transfer station |
Abstract | ||
|---|---|---|
To face the booming passenger flow volumes, the optimization of pedestrian facilities plans and the associated staff assignment plans in the transfer station, including adjusting pedestrian flow routes and adopting different numbers of machines, is an efficient measure to promote transfer connection and avoid passengers congestion in order to enhance the service level. We propose an integrated optimization model based on the simulation model and machine learning method aiming to provide optimal pedestrian facilities plans and the corresponding staff assignment simultaneously. The pedestrian facilities plans ensure the service quality requirement based on three performance indicators, i.e., transfer capacity, transfer average time and level-of-service. The framework, which contains the transfer station simulation model and the Random Forest for obtaining the values of performance indicators, is developed. Random Forest, a machine learning method, trains and learns the samples of indicators and scenario attributes outputted from the simulation model to fit the approximation functions that can evaluate the performance indicators under the given scenarios. As the application, the optimization model uses the approximation functions to obtain performance indicators so that select out the available pedestrian facilities plans for time-varying passenger demands. With the aims of minimizing employment cost and preventing excessive fatigue, the optimization model selects the most suitable pedestrian facilities plans and obtains the corresponding staff assignment plan with the consideration of the workload fairness and rest time under four types of consecutive working time constraints. The experiments of the Xipu station demonstrate that the proposed integrated optimization model can return reasonable pedestrian facilities plans and staff assignment plans for each period in a day. The constraints of consecutive working time can acquire good compromising of reducing labor cost and avoiding overwork, so that the staff assignment plans are acceptable for both station managers and employees. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.simpat.2021.102449 | Simulation Modelling Practice and Theory |
Keywords | DocType | Volume |
Transfer stations,Pedestrian facilities plan,Staff assignment,Simulation,Random forest | Journal | 115 |
ISSN | Citations | PageRank |
1569-190X | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongxiang Zhang | 1 | 0 | 1.01 |
| Bisheng He | 2 | 0 | 1.01 |
| Gongyuan Lu | 3 | 0 | 0.34 |
| Yongjun Zhu | 4 | 0 | 0.34 |