Study on Digital Twin Computing for Predicting General Road Traffic Volume

Authors:

Mikiko Sode Tanaka [Department of Electrical Engineering and Information Science, National Institute of Technology (KOSEN), Niihama College, Niihama, Japan]

PASS 1:

Title: Study on Digital Twin Computing for Predicting General Road Traffic Volume

Main Idea (from Abstract) - This paper is about a study on digital twin, focusing on transportation and traffic control, proposing a method to build a digital twin by collecting and inputting small amounts of data, and supplementing them with machine learning.

Keywords - Digital Twin, Transportation, Traffic Flow Control

Figures/Pictures:

Figure 1 - Diagram of the proposed transportation digital twin configuration built on an LPWA network

Diagram of the proposed transportation digital twin configuration
built on an LPWA network

Figure 2 - Functional diagram of the transportation digital twin

Functional diagram of the transportation digital twin

Figure 3 - Public transport travel route data instead of the conventional approach of using mobile phone travel routes

Unlike traditional methods that use mobile phone travel routes, the
proposed method leverages public transport travel route data.

Figure 4 - Transportation digital twin system concept diagram