2026 International Conference on Intelligent Transportation and New Energy Technology (ITNET 2026) is sponsored by Nanning University will be held in Nanning, China from April 24 to 26, 2026. The conference aims to explore and demonstrate cutting-edge research results and practical applications, focusing on the cross-cutting areas of intelligent transportation systems and new energy technologies. In the context of global climate change and energy crisis, the integration of smart transportation and new energy technologies is particularly critical. The topics of the meeting mainly cover intelligent traffic management systems, driverless technology, electric vehicles and charging infrastructure, renewable energy power generation and grid integration. With the development of the Internet of Things, big data and artificial intelligence, smart transportation has made remarkable progress in improving traffic efficiency and safety. At the same time, the development of new energy technologies has promoted the green transformation of transportation systems. This conference will bring together experts and scholars from academia and industry to explore solutions, share research results, promote continuous innovation in this field, and promote the construction of a sustainable intelligent transportation system.
Full Paper Submission Date
April 3, 2026
Registration Deadline
April 10, 2026
Final Paper Submission Date
April 17, 2026
Conference Dates
May 24-26, 2026
The conference will recommend a variety of publication types, including conference proceedings(EI), SCI journals. If you need translation and retouching services, please contact the conference secretary. Scholars are requested to strictly abide by academic norms and ethics, and not to publish repeatedly or submit more than one manuscript.
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published by conference proceedings and submitted to EI Compendex and Scopus for indexing.