Artificial Intelligence Applications in Intelligent Transportation Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 41
Special Issue Editors
Interests: intelligent maintenance management of asphalt pavement; structural health monitoring; pavement distress detection based on computer vision; time series forecasting; building information modeling
Special Issues, Collections and Topics in MDPI journals
Interests: prompt-guided large language models; evidential deep neural networks; decision-making with uncertainty; AI-enabled ground-penetrating radar detection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Intelligent Transportation System (ITS) is as a comprehensive and expansive transportation and management system, encompassing a multitude of domains. Its central focus lies in the intricate interplay between people, vehicles, and road infrastructure, harnessing the capabilities of information technology to elevate traffic efficiency and safety. As artificial intelligence (AI) technology continues to advance, the manifold applications of AI have made significant strides in enhancing the efficiency, safety, and sustainability of transportation networks within the ITS paradigm. AI emerges as a pivotal force in addressing the intricate challenges posed by the future of urban transportation.
Among the myriad constituents of ITSs, the ongoing trend towards the smartification of transportation infrastructure (including roads, bridges, tunnels, and more) and the relentless pursuit of autonomous driving technology in vehicles stand out as current focal points in ITS research. This Special Issue aims to compile the latest applications of artificial intelligence technology in both intelligent transportation infrastructure and autonomous driving. The topics covered include, but are not limited to, the following:
(1) Damage detection in AI-based traffic infrastructure;
(2) Structural health monitoring in AI-based traffic infrastructure;
(3) Digital twins and maintenance management in AI-based traffic infrastructure;
(4) The design and construction of AI-based traffic infrastructure;
(5) Perception and sensor fusion in AI-based autonomous driving;
(6) Path planning and decision-making in AI-based autonomous driving;
(7) Vehicle control and optimization in AI-based autonomous driving;
(8) The environmental friendliness of AI-based intelligent transportation systems.
Dr. Chengjia Han
Dr. Zheng Tong
Guest Editors
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Keywords
- intelligent transportation system
- artificial intelligence
- transport infrastructure
- digital twin
- autonomous driving
- pattern recognition
- sustainability
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