Work

RSTR: A Two-Layer Taxi Repositioning Strategy Using Multi-Agent Reinforcement Learning

Year: 2024

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2024.3516944

Authors: Hao Yu, Xi Guo, Xiao Luo, Ziyan Wu, Jing Zhao

Institutions: University of Science and Technology Beijing, Tongji University, Jianghan University

Language: English

Topic: Transportation and Mobility Innovations

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

Funders: Natural Science Foundation of Shanghai, National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, Fundamental Research Funds for the Central Universities

Awards: G2261333572, G2959156309, G5112968003, G5729606562, 基于多源高时空精度数据的人群大气污染物暴露及规划调控研究

OpenAlex ID: W4405933986

FWCI: 0.43

Cites: 33

Cited by: 4

Related to: 10