Optimizing Long-Term Efficiency and Fairness in Ride-Hailing via Joint Order Dispatching and Driver Repositioning-Reference-Cited by-同舟云学术

Optimizing Long-Term Efficiency and Fairness in Ride-Hailing via Joint Order Dispatching and Driver Repositioning

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Sun Jiahui¹,Jin Haiming¹,Yang Zhaoxing¹,Su Lu²,Wang Xinbing¹

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. Purdue University, West Lafayette, IN, USA

Funder

NSF China

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539060

Reference38 articles.

1. Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

2. Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms

3. A Deep Value-network Based Approach for Multi-Driver Order Dispatching

4. Minne Li , Zhiwei Qin , Yan Jiao , Yaodong Yang , Jun Wang , Chenxi Wang , Guobin Wu , and Jieping Ye . Efficient ridesharing order dispatching with mean field multi-agent reinforcement learning . WWW , 2019 . Minne Li, Zhiwei Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, and Jieping Ye. Efficient ridesharing order dispatching with mean field multi-agent reinforcement learning. WWW, 2019.

5. Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimal instant discounts of multiple ride options at a ride-hailing aggregator;European Journal of Operational Research;2024-04

2. Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques;ACM Transactions on Intelligent Systems and Technology;2023-12-19

3. GCRL: Efficient Delivery Area Assignment for Last-mile Logistics with Group-based Cooperative Reinforcement Learning;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04