Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach-Reference-Cited by-同舟云学术

Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach

Published:2023-08 Issue:8 Volume:24 Page:8507-8518
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Xu Yiming¹^ORCID,Zhao Xilei¹^ORCID,Zhang Xiaojian¹,Paliwal Mudit²

Affiliation:

1. Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, USA

2. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA

Funder

U.S. Department of Transportation through the Southeastern Transportation Research, Innovation, Development and Education (STRIDE) Region 4 University Transportation Center

University of Florida Artificial Intelligence Research Catalyst Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10202228/10034433.pdf?arnumber=10034433

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5. Ablation studies in artificial neural networks;meyes;arXiv 1901 08644,2019

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