Academic Journal
Data-driven optimization for rebalancing shared electric scooters
| العنوان: | Data-driven optimization for rebalancing shared electric scooters |
|---|---|
| المؤلفون: | Yanxia Guan, Xuecheng Tian, Sheng Jin, Kun Gao, Wen Yi, Yong Jin, Xiaosong Hu, Shuaian Wang |
| المصدر: | Electronic Research Archive, Vol 32, Iss 9, Pp 5377-5391 (2024) |
| بيانات النشر: | AIMS Press, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Mathematics LCC:Applied mathematics. Quantitative methods |
| مصطلحات موضوعية: | data-driven optimization, rebalancing problem, shared electric scooters, uncertain user demand, Mathematics, QA1-939, Applied mathematics. Quantitative methods, T57-57.97 |
| الوصف: | Shared electric scooters have become a popular and flexible transportation mode in recent years. However, managing these systems, especially the rebalancing of scooters, poses significant challenges due to the unpredictable nature of user demand. To tackle this issue, we developed a stochastic optimization model (M0) aimed at minimizing transportation costs and penalties associated with unmet demand. To solve this model, we initially introduced a mean-value optimization model (M1), which uses average historical values for user demand. Subsequently, to capture the variability and uncertainty more accurately, we proposed a data-driven optimization model (M2) that uses the empirical distribution of historical data. Through computational experiments, we assessed both models' performance. The results consistently showed that M2 outperformed M1, effectively managing stochastic demand across various scenarios. Additionally, sensitivity analyses confirmed the adaptability of M2. Our findings offer practical insights for improving the efficiency of shared electric scooter systems under uncertain demand conditions. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2688-1594 |
| Relation: | https://doaj.org/toc/2688-1594 |
| DOI: | 10.3934/era.2024249 |
| URL الوصول: | https://doaj.org/article/014306b0767d4bfa8b14e9bed2d583e6 |
| رقم الانضمام: | edsdoj.014306b0767d4bfa8b14e9bed2d583e6 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 26881594 |
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| DOI: | 10.3934/era.2024249 |