A dynamic carsharing decision support system
A dynamic carsharing decision support system
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DOI：
10.1016/j.tre.2014.03.003
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发表时间：
2014-06
影响因子：
10.6
通讯作者：
M. Nourinejad;M. Roorda
中科院分区：
文献类型：
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作者：
M. Nourinejad;M. Roorda
本文提出了一个动态优化仿真模型，作为单向汽车共享组织的决策支持系统。为了减少单向系统中的车辆不平衡，在离散事件仿真中连续求解车辆重新定位优化模型。每个事件都是一个新用户的到来。该模型相比，一个先验的基准模型。选择Autoshare作为案例研究。结果表明，将预约时间（请求和取车之间的时间）从0分钟增加到30分钟，车队规模将减少86%。该模型反映了车辆搬迁时间和车队规模之间的权衡。
This paper proposes a dynamic optimization–simulation model as a decision support system for one-way carsharing organizations. To reduce the vehicle imbalance in one-way systems, a Vehicle Relocation Optimization model is solved successively in a discrete event simulation. Each event is the arrival of a new user. The model is compared to an a priori benchmark model. Autoshare is chosen as a case study. Results show that increasing the reservation time (time between requesting and picking up a vehicle) from 0 to 30 min reduces fleet size by 86%. The model captures a tradeoff between vehicle relocation hours and fleet size.