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Review of IoT Sensor Systems Used for Monitoring the Road Infrastructure
Kristian Micko1, Peter Papcun1, Iveta Zolotova1
1Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Kosice, 042 00 Kosice, Slovakia.
Sensors (Basel, Switzerland)
|May 13, 2023
Summary
This study introduces a sensor taxonomy for intelligent transportation systems, crucial for smart cities. It proposes a universal sensor system architecture for motion detection and object tracking, enhancing data collection and system management.
Area of Science:
- Intelligent Transportation Systems (ITS)
- Smart City Technologies
- Internet of Things (IoT)
Background:
- Intelligent transportation systems are key to smart cities, with IoT enabling automation and data collection.
- IoT systems involve sensors, actuators, and distributed computation across edge, fog, and cloud layers.
- Effective monitoring in ITS relies on understanding sensor capabilities for tasks like motion detection and object tracking.
Purpose of the Study:
- To propose a taxonomy for sensors used in ITS monitoring, focusing on motion detection and object tracking.
- To categorize sensors based on principles, installation, and maintenance for comparative analysis.
- To develop and test a universal sensor system architecture for common ITS monitoring tasks.
Main Methods:
- Conducting a comprehensive literature review on sensor systems in ITS.
- Analyzing and categorizing monitoring tasks, emphasizing motion detection and object tracking.
- Developing a sensor taxonomy and a universal sensor system architecture.
Main Results:
- A detailed taxonomy of sensors for ITS monitoring tasks was established.
- A novel universal sensor system architecture was proposed and initially tested.
- Comparative analysis of sensor effectiveness for motion detection and object tracking was performed.
Conclusions:
- The proposed sensor taxonomy aids in comparing sensor effectiveness for ITS.
- The developed universal sensor system architecture provides a foundation for enhanced ITS monitoring.
- Future research directions are identified to further improve ITS monitoring results.
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