
The Proceedings of 2024 International Conference on Artificial Intelligence and Autonomous Transportation
6 contributors - Hardback
£249.99
Jun Liu
Jun Liu, North China University of Technology, No. 5 Jinyuanzhuang Road, Shijingshan District, Beijing, China, [email protected]
Jun Liu serves as the party secretary of North China University of Technology and is a professor. His main research focus is on transportation information technology. His research achievements have promoted the informatization construction of China’s high-speed railways and have won several provincial and ministerial-level science and technology awards.
Honghai Ji
Honghai Ji, North China University of Technology, No. 5 Jinyuanzhuang Street, Shijingshan District, Beijing, China, [email protected]
Honghai Ji is currently an associate professor at School of Automation, North China University of Technology. His research interests are in the field of multi-agent systems cooperative control, data-driven filtering and control, iterative learning control, and automatic train operation/road traffic control.
Kailong Li
Kailong Li, North China University of Technology, No. 5 Jinyuanzhuang Road, Shijingshan District Beijing, P.R. China, [email protected]
Kailong Li is a senior engineer at North China University of Technology. His research interests include risk control of air-ground coordinated operation, autonomous traffic control, and traffic flow theory.
Shida Liu
Shida Liu, North China University of Technology, No. 5, Jinyuanzhuang Road, Shijingshan District, Beijing China, [email protected]
Shida Liu is an associate professor at North China University of Technology. His research interests include learning control, data-driven control, complex industrial processes, robot control, and autonomous vehicles.
Zhihui Hu
Zhihui Hu, Jimei University, No. 1 Jiageng Road, Jimei District, Xiamen, Fujian, China, [email protected]
Zhihui Hu is a lecturer at Jimei University. His research interests include ship energy consumption prediction, intelligent energy efficiency management, and big-data-driven maritime analytics.