Data-driven optimization for rebalancing shared electric scooters

Data-driven optimization for rebalancing shared electric scooters

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 optim...

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Bibliographic Details
Main Authors: Yanxia Guan, Xuecheng Tian, Sheng Jin, Kun Gao, Wen Yi, Yong Jin, Xiaosong Hu, Shuaian Wang
Format: Article
Language:English
Published: AIMS Press 2024-09-01
Series:Electronic Research Archive
Subjects:
data-driven optimization
rebalancing problem
shared electric scooters
uncertain user demand
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2024249

Internet

https://www.aimspress.com/article/doi/10.3934/era.2024249

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