TY  - JOUR
PY  - 2021//
TI  - A mixed decision strategy for freight and passenger transportation in metro systems
JO  - Computational intelligence and neuroscience
A1  - Guo, Junhua
A1  - Ye, Yutao
A1  - Yan, Lixin
SP  - e5412016
EP  - e5412016
VL  - 2021
IS  - 
N2  - This paper proposes a mixed decision strategy for freight and passenger transportation in metro systems during off-peak hours (MTS-OPH). The definition of the mixed decision strategy is proposed, and fixed and flexible loading modes are considered for different passenger flow volumes. A mathematical model of the MTS-OPH is proposed and solved using an improved variable neighborhood search algorithm. Case studies demonstrate the performance and applicability of the proposed model and algorithm, and the MTS-OPH is discussed for different delivery distances, passenger flows, and metro network types. The proposed strategy is suitable for long-distance delivery, and the proposed model framework can be applied to different types of metro networks with different levels of complexity. The mixed decision strategy provides a decision support tool for metro and freight companies and can propose corresponding solutions according to different passenger flows.<p />  <p>Language: en</p>
LA  - en
SN  - 1687-5265
UR  - http://dx.doi.org/10.1155/2021/5412016
ID  - ref1
ER  -