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Citywide traffic speed prediction: A geometric deep learning approach

  • Published:2021-01 Issue: Volume:212 Page:106592
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Yu James J.Q.ORCID

Funder

General Program of Guangdong Basic and Applied Basic Research Foundation, China

Guangdong Provincial Key Laboratory, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference54 articles.

1. Traffic flow prediction with big data: a deep learning approach;Lv;IEEE Trans. Intell. Trans. Syst.,2015

2. Parallel control and management for intelligent transportation systems: concepts, architectures, and applications;Wang;IEEE Trans. Intell. Trans. Syst.,2010

3. Autonomous vehicle logistic system: joint routing and charging strategy;Yu;IEEE Trans. Intell. Trans. Syst.,2018

4. Data-driven intelligent transportation systems: a survey;Zhang;IEEE Trans. Intell. Trans. Syst.,2011

5. Survey on traffic prediction in smart cities;Nagy;Pervasive Mob. Comput.,2018
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