The intelligent transport system has played a vital role in increasing the communication and level of autonomy in land, sea, and air. The increase in workforce age and cost has driven the technological development and adaptation of innovative system design, simulation, and application of intelligence in transport systems. The changing technological demand and operating uncertainties have resulted in new types of transportation challenges and an increased demand for sensors and sensor platforms for capturing mobility analytics under uncertain operating environment. For example, various intelligent autonomous systems such as unmanned aerial and submersible vehicle for traffic survey, marine sediment transport, and vehicle accident survey are used. For land transport system, autonomous car is capable of sensing its environment and navigating with little human input for transportation. It is important to increase the robustness in the level of autonomy and reduce the computational effort for better operational efficiency. Effective system design and simulation using artificial intelligence techniques could help to address such challenging issues in the intelligent autonomous transport systems.

This special issue welcomes the original research articles, having a contribution in numerical, theoretical, and experimental analysis aimed at further understanding of intelligent techniques, on the transport systems with less human interaction in an uncertain environment. Review articles related to these application areas are also invited.

Potential topics include but are not limited to the following:

• Predictive modelling
• Multimodal analytics
• Communication systems
• Image-based and signal-based diagnosis
• Fault identification and detection with control
• Smart sensors and power system
• System design, modelling, and simulation
• Intelligent control and automation
• Machine learning methods
• Artificial neural networks, support vector machines, and extreme learning machines
• Signal processing and pattern recognition
• Swarm intelligence and evolutionary algorithms
• Signal processing and pattern recognition