Advanced Sensors for Intelligent Transportation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 43
Special Issue Editor
Special Issue Information
Dear Colleagues,
The rapid advancements in intelligent transportation systems (ITS) are significantly driven by innovations in sensor technologies. Sensors are pivotal in enabling data acquisition, processing, and interpretation, thereby forming the backbone of modern ITS. As transportation systems evolve towards higher levels of automation and connectivity, the role of advanced sensors becomes increasingly critical. These sensors not only ensure the safety, efficiency, and environmental sustainability of ITS but also enhance their adaptability to the complex and dynamic nature of real-world traffic environments.
This Special Issue, "Advanced Sensors for Intelligent Transportation", seeks to highlight the latest developments and breakthroughs in sensor technologies that are propelling the next generation of ITS. We invite original research articles, comprehensive reviews, and case studies that explore cutting-edge sensing methodologies and their applications in transportation systems. This Special Issue aims to serve as a platform for researchers, practitioners, and policymakers to exchange ideas, share experiences, and discuss innovative solutions that address the challenges in ITS.
Topics of interest include, but are not limited to:
- Advanced sensor technologies for automated vehicles and driver assistance systems (ADAS);
- Signal processing algorithms for image, LiDAR, radar, and other sensor modalities in transportation;
- Multi-sensor fusion techniques for enhancing accuracy and reliability in ITS;
- Object detection, tracking, and prediction technologies for transportation safety;
- Sensors for dynamic urban traffic scene understanding and management;
- Innovative methods for analyzing on-road pedestrian behavior;
- Evaluation and monitoring of driver status using in-vehicle sensors;
- Integration of 5G technology with sensor networks in transportation systems;
- Prognostics and health management (PHM) for critical transportation infrastructure;
- Ecological sensing and energy-efficient sensor deployment for ITS;
- Large-scale traffic data acquisition and processing with advanced sensor systems.
Dr. Linchao Li
Guest Editor
Manuscript Submission Information
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Keywords
- sdvanced sensor technologies for automated vehicles and driver assistance systems (ADAS)
- signal processing algorithms for image, LiDAR, radar, and other sensor modalities in transportation
- multi-sensor fusion techniques for enhancing accuracy and reliability in ITS
- object detection, tracking, and prediction technologies for transportation safety
- sensors for dynamic urban traffic scene understanding and management
- innovative methods for analyzing on-road pedestrian behavior
- evaluation and monitoring of driver status using in-vehicle sensors
- integration of 5G technology with sensor networks in transportation systems
- prognostics and health management (PHM) for critical transportation infrastructure
- ecological sensing and energy-efficient sensor deployment for ITS
- large-scale traffic data acquisition and processing with advanced sensor systems
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