eShare+: A Data-Driven Balancing Mechanism for Bike Sharing Systems Considering Both Quality of Service and Maintenance-Reference-Cited by-同舟云学术

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eShare+: A Data-Driven Balancing Mechanism for Bike Sharing Systems Considering Both Quality of Service and Maintenance

Published:2023-10-01 Issue:10 Volume:35 Page:10497-10513
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Wang Shuai¹^ORCID,Zhu Xin¹^ORCID,Wang Guang²^ORCID,Liu Yunhuai³,He Tian¹^ORCID,Zhang Desheng⁴^ORCID

Affiliation:

1. Key Laboratory of Computer Network and Information Integration, School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China

2. Department of Computer Science, Florida State University, Tallahassee, FL, USA

3. Peking University, Beijing, China

4. Department of Computer Science, Rutgers University, Piscataway, NJ, USA

Funder

Science and Technology Innovation 2030 - Major Project

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10251471/10061557.pdf?arnumber=10061557

Reference43 articles.

1. Spatio-Temporal Capsule-Based Reinforcement Learning for Mobility-on-Demand Coordination

2. The Truck Dispatching Problem

3. Towards Efficient Sharing: A Usage Balancing Mechanism for Bike Sharing Systems

4. A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems

5. Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines

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