Fault Detection, Diagnosis and Maintenance on Intelligent Transportation System

Dear Colleagues,

The monitoring and management of traffic structures is an important part of the modern traffic system. Modern and efficient road/rail infrastructure operations require regular monitoring and timely maintenance. By their nature, these are multidisciplinary challenges that require collaboration among different disciplines to develop and implement innovative solutions. In recent years, the development of sensing, the Internet of Things, big data, artificial intelligence, digitalization, visualization, and digital twins have provided novel solutions for the fault detection and diagnosis of existing transportation structures, which has ultimately led to improved management, sustainability, and extended life of such key infrastructure assets. This Special Issue aims to provide a unique platform to publish state-of-the-art methods and applications for monitoring traffic structures. Both original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Digital twin
• Structural health monitoring
• Vehicle-infrastructure interaction
• Bridge engineering
• Tunnel engineering
• Active monitoring in structural engineering
• Smart railway
• Vision-based structural fault diagnosis

Dr. Yang Song
Prof. Dr. Xiaojun Wei
Dr. Alejandro Jimenez Rios
Guest Editors

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