AI applications and prospects in the transportation industry

By continuing to browse our site you agree to our use of cookies, revised Privacy Policy and Terms of Use. You can change your cookie settings through your browser. Editor's note: Li Hongchang is a researcher of Sustainable Transportation Innovation Center and professor at School of Economics and Management, Beijing Jiaotong University. Liu Ziyi is a PhD student at School of Economics and Management, Beijing Jiaotong University. This article reflects the authors' opinions and not necessarily those of CGTN's. Artificial Intelligent (AI) is learning through real-time traffic. /VCG Wide-scale deployment of AI across integrated transportation systems Against the backdrop of global urbanization, surging multimodal travel demands and door-to-door logistical supply, modern transportation infrastructure confronts systemic bottlenecks including recurrent congestion, frequent safety hazards and excessive carbon emissions. Artificial intelligence, represented by traffic foundation large models, computer vision and digital twin simulation, has become a core transformative technology reshaping the operation paradigm of intelligent transportation systems (ITS).

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