Identifying the most suitable machine learning approach for a road digital twin
| Author(s): |
Kun Chen
(School of Engineering, University of Birmingham, Birmingham, UK; Nottingham Transportation Engineering Centre, Faculty of Engineering, University of Nottingham, Nottingham, UK)
Mehran Eskandari Torbaghan (School of Engineering, University of Birmingham, Birmingham, UK) Mingjie Chu (Department of Electrical and Electronic Engineering, University of Manchester, Manchester, UK) Long Zhang (Department of Electrical and Electronic Engineering, University of Manchester, Manchester, UK) Alvaro Garcia-Hernandez (Nottingham Transportation Engineering Centre, Faculty of Engineering, University of Nottingham, Nottingham, UK) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, September 2021, n. 3, v. 174 |
| Page(s): | 1-14 |
| DOI: | 10.1680/jsmic.22.00003 |
- About this
data sheet - Reference-ID
10665557 - Published on:
09/05/2022 - Last updated on:
09/05/2022
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