Work

Temporal-Spatial Quantum Graph Convolutional Neural Network Based on Schrödinger Approach for Traffic Congestion Prediction

Year: 2022

Type: article

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/tits.2022.3203791

Authors: Zhiguo Qu, Xinzhu Liu, Min Zheng

Institutions: Beijing University of Posts and Telecommunications, Nanjing University of Information Science and Technology, State Key Laboratory of Networking and Switching Technology, Hubei University of Science and Technology

Language: English

Topic: Traffic Prediction and Management Techniques

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

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

Open Access status: closed

Funders: Sichuan Youth Science and Technology Foundation, National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, State Key Laboratory of Networking and Switching Technology

Awards: 量子信息隐写模型与协议研究, G3036528124, G3517490691, G4194973713, G6383985211, G6729311929

OpenAlex ID: W4294982617

FWCI: 14.15

Cites: 42

Cited by: 146

Related to: 10