Review of Digital twin for intelligent transportation system

Abstract

Digital Twin (DT) is attracting the research interest of the traffic community in the last few years due to improvement of intelligent traffic management through the simulation of the transportation system predicting potential problems and optimizing traffic operation, which is considered as one of the most effective solutions of current traffic problems. In this paper, we propose a new DT concept of traffic based on characteristics of DT and connotation of traffic. We have summarized the difference and relationship between traditional traffic simulation and DT. A three layers technical architecture was proposed, including data access layer, calculation and simulation layer and management and application layer. Besides, we have analyzed the key technologies of DT in construction of traffic scenario and future applications of traffic DT. Results show intelligent expressway, self-driving, ITS remain the main developing directions of DT for traffic; although data mining, cloud computing and other data processing technologies have made some progress, in the face of massive traffic data, data loading technology and information extraction technology still need to be strengthened.