Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Human-system Interaction

Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Human-system Interaction
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具有人系统交互的共享电动微移动车辆的联合再平衡和充电

DOI:
10.1145/3576841.3589613
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发表时间:
2023
期刊:
ACM/IEEE 14th International Conference on Cyber-Physical Systems
影响因子:
--
通讯作者:
Yang, Yu
Yang, Yu
中科院分区:
--
文献类型:
--
作者:
Tan, Heng;Yuan, Yukun;Zhong, Shuxin;Yang, Yu

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共享电动微型交通工具(如自行车和踏板车)的使用越来越受欢迎。它导致了管理问题(即,再平衡和充电)。现有的方法通常假设所有车辆都有同等的机会被选择乘坐,这是不切实际的。为了克服这一限制,我们提出了一个基于学习的框架,结合人与系统的互动。我们首先预测每辆车被选中的可能性,然后将此预测集成到强化学习框架中。其目的是创建一个更真实的模拟过程,以更有效地指导政策学习。我们的实验结果表明,将人-系统交互的有效性。
The use of shared electric micromobility vehicles, such as bikes and scooters, has become increasingly popular. It leads to the problem of management (i.e., rebalancing and charging). Existing approaches typically assume that all vehicles have an equal chance of being selected for a ride, which is not practical. To overcome this limitation, we propose a reinforcement-learning-based framework incorporating human-system interaction. We first predict the likelihood of each vehicle being selected, then integrate this prediction into the reinforcement learning framework. The aim is to create a more realistic simulation process to guide policy learning more effectively. Our experimental results demonstrate the effectiveness of incorporating human-system interaction.
DOI: 10.1109/icdcs54860.2022.00085
发表时间: 2022-07
期刊: 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)
影响因子: --
作者:
Shuxin Zhong;Wenjun Lyu;Desheng Zhang;Yu Yang
通讯作者: Shuxin Zhong;Wenjun Lyu;Desheng Zhang;Yu Yang
DOI: 10.1145/3447548.3467112
发表时间: 2021-08
期刊: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
影响因子: --
作者:
Guang Wang;Zhou Qin;Shuai Wang;Huijun Sun;Zheng Dong;Desheng Zhang
通讯作者: Guang Wang;Zhou Qin;Shuai Wang;Huijun Sun;Zheng Dong;Desheng Zhang