Optimal bike fleet management by smart relocation methods: Combining an operator-based with an user-based relocation strategy
Optimal bike fleet management by smart relocation methods: Combining an operator-based with an user-based relocation strategy
复制标题
DOI：
10.1109/itsc.2016.7795976
复制
发表时间：
2016-11
期刊：
影响因子：
--
通讯作者：
Svenja Reiss;K. Bogenberger
中科院分区：
文献类型：
--
作者：
Svenja Reiss;K. Bogenberger
基于实证数据分析，建立了模拟，以预测城市自行车共享系统（BSS）的未来需求。为了满足这一需求，采用搬迁策略来重新平衡 BSS 的机队。在出现适度失衡的情况下，定价模型会激励用户从“坏”地点骑自行车到“好”地点。这节省了运营商的成本，因为不再需要卡车进行搬迁行程。如果不平衡严重，则基于用户的方法是不够的，需要运营商进行补充干预。因此，重定位模型提供了结合这两种方法的最佳策略。
Based on an empirical data analysis, a simulation was built up in order to forecast the upcoming demand for an urban Bike Sharing System (BSS). To satisfy this demand, a relocation strategy is applied to rebalance the fleet of the BSS. In case of moderate imbalances, a pricing model incents users to ride bikes from “bad” to “good” spots. This saves operator's cost as no further relocation trips by trucks are generated. If the imbalances are severe though, the user-based method is not sufficient and the operator needs to intervene supplementary. Therefore, the relocation model provides an optimal strategy to combine both methods.