Topic Editors
Optimization Control and Fault Diagnosis of Intelligent Transportation Systems
Topic Information
Dear Colleagues,
In recent years, significant progress has been made in the optimization control and fault diagnosis of intelligent transportation systems (ITS), driving profound transformations across various transportation sectors. At the core of these advancements lies the integration of cutting-edge sensor technology, big data processing, and artificial intelligence (AI) algorithms. These technologies enable the comprehensive processing and analysis of transportation data, facilitating real-time monitoring, state diagnosis, and optimization control of transportation systems.
As a crucial component of national development strategies, intelligent transportation systems focus on leveraging modern information technologies and smart systems to achieve efficient management of transportation networks, enhance traffic safety, alleviate congestion, and improve travel experiences. ITS harnesses advanced technologies such as automation and industrial Internet to boost productivity, flexibility, and innovation.
In urban rail systems, optimization control has benefited from advanced sensor technologies and intelligent algorithms capable of real-time monitoring of operational parameters such as speed, acceleration, and track conditions. Data from these sensors, processed by sophisticated algorithms, enables precise control of acceleration, deceleration, and stopping, ensuring efficiency and safety.
For diesel engine fault diagnosis, sensor-collected data is analyzed using AI algorithms to assess performance states in real-time and detect potential faults with precision. Early fault prediction and preventive measures effectively reduce failure rates.
In the domain of ship control, high-precision sensors, control algorithms, and real-time environmental perception technologies ensure the accuracy of navigation speed and direction, even under complex and dynamic oceanic conditions.
This multidisciplinary topic focuses on various intelligent transportation tools, including urban rail vehicles, automobiles, and ships. Through the application of optimization control and fault diagnosis technologies, the safety and efficiency of the transportation industry can be significantly improved, further promoting the integration of advanced technologies into real-world scenarios. With ongoing research and technological advancements, ITS is steadily transitioning from experimental phases to practical environments, ushering us into a new era of smart transportation.
This multidisciplinary topic, Optimization Control and Fault Diagnosis of Intelligent Transportation Systems, aims to highlight the latest theoretical developments, cutting-edge research, and innovative applications in the fields of control, optimization, and scheduling within ITS. It explores technological innovations to contribute to advancements in artificial intelligence and control engineering, fostering the development of ITS toward greater intelligence and automation.
We invite submissions addressing theoretical and applied issues, including but not limited to:
- Real-time monitoring and control systems for autonomous train operations;
- Precision detection and fault diagnosis of automotive diesel engines;
- Environmental perception and multi-sensor fusion in autonomous driving;
- Safety evaluation and optimization methods for autonomous driving technologies;
- Autonomous navigation guidance and control of intelligent ships.
This multidisciplinary topic will present the latest advancements in the optimization control and fault diagnosis applications of intelligent transportation systems.
Dr. Longda Wang
Dr. Guibing Zhu
Topic Editors
Keywords
- intelligent vehicles
- autonomous train operation
- fault diagnosis
- sensor fusion
- environmental perception
- control algorithms
- ship control
- safety evaluation
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Algorithms
|
1.8 | 4.1 | 2008 | 18.9 Days | CHF 1600 | Submit |
Applied Sciences
|
2.5 | 5.3 | 2011 | 18.4 Days | CHF 2400 | Submit |
Electronics
|
2.6 | 5.3 | 2012 | 16.4 Days | CHF 2400 | Submit |
Machines
|
2.1 | 3.0 | 2013 | 15.5 Days | CHF 2400 | Submit |
Sensors
|
3.4 | 7.3 | 2001 | 18.6 Days | CHF 2600 | Submit |
Vehicles
|
2.4 | 4.1 | 2019 | 19.9 Days | CHF 1600 | Submit |
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