With the development of scientific information technology in recent years, the application of Internet of Things, big data and other technologies in computer technology has become increasingly mature. As a result, sustainable transportation and logistics came into being and gradually developed. The application of smart transportation and logistics can realize the sharing of resource information, optimize related resource allocation, and improve the efficiency of operation and management. It can be presented in front of the public. Therefore, it is necessary to follow the trend of the times in the era of big data，strengthen the important role and influence of sustainable transportation and logistics on society.

This Special Issue mainly discusses the latest research results and progress in sustainable transportation, logistics and big data, and adheres to the principle of combining theoretical research with empirical analysis, qualitative analysis and quantitative analysis.

Through the research of the research field, the deep learning, knowledge calculation, visual transformation and other aspects of the dynamic development of big data will be analyzed, combined with the specific application scenarios such as multimedia display and early warning prompts in wisdom, and combined with typical empirical cases for analysis.

On the one hand, it theoretically reveals the ways, methods and scope of the coordinated development of big data and sustainable transportation and logistics, providing services for transportation and logistics management system reform, big data system construction, sustainable transportation and logistics, and big data. It is related public service system construction. To provide suggestions and References, for promoting smart transportation, logistics and big data development; on the other hand, based on the analysis results of specific empirical objects, propose corresponding improvement measures.

Aims and Scope: