Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

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Design of a Visual Traffic Management System for Smart Cities Based on Digital Twin Technology

Authors
Nan Sheng1, Qi Chen1, *
1Guangzhou Academy of Fine Arts, Guangzhou, 510006, Guangdong, China
*Corresponding author. Email: chenqi@gzarts.edu.cn
Corresponding Author
Qi Chen
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_10How to use a DOI?
Keywords
Digital Twin Technology; Smart City; Traffic Management; Visualisation System
Abstract

With regard to the current socio-economic situation, the traditional means of road traffic management can no longer adapt to the current speed of global information development. Intelligent traffic management, which responds to the practical needs of the history of intelligent traffic management, is an imperative reform initiative. The aim of this paper is to study the design of a visual traffic management system for smart cities based on digital twin technology. The framework of the system based on digital twin technology is constructed, and the system functions mainly include information login system, rapid traffic modelling module, traffic prediction management module, traffic control management module, and case application analysis of the system. Starting from the problems of traffic state prediction and traffic congestion control, and combining with the actual traffic history data of some areas of L station in M city, the results show the applicability and feasibility of the digital twin technology in traffic congestion prediction and control in this paper.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
10.2991/978-94-6463-200-2_10
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_10How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nan Sheng
AU  - Qi Chen
PY  - 2023
DA  - 2023/07/26
TI  - Design of a Visual Traffic Management System for Smart Cities Based on Digital Twin Technology
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 70
EP  - 77
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_10
DO  - 10.2991/978-94-6463-200-2_10
ID  - Sheng2023
ER  -