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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
Published on: January 20, 2023
A Low-Cost On-Street Parking Management System Based on Bluetooth Beacons.
Chi-Fang Chien1, Hui-Tzu Chen1, Chi-Yi Lin1
1Department of Computer Science and Information Engineering, Tamkang University, New Taipei City 25137, Taiwan.
This study introduces a low-cost smart parking system using Bluetooth beacons. The system accurately detects parking space occupancy and vehicle identification, offering an efficient alternative to existing technologies.
Area of Science:
- Computer Science
- Electrical Engineering
- Urban Planning
Background:
- City governments are adopting information and communication technology (ICT) to enhance on-street parking management.
- Current smart parking solutions like wireless magnetic sensors and image-recognition meters have limitations in cost or functionality.
- Existing systems often fail to identify vehicles or require expensive infrastructure.
Purpose of the Study:
- To investigate the feasibility of a novel on-street parking management system utilizing low-cost Bluetooth beacons.
- To develop a system capable of detecting both parking space occupancy and vehicle identification.
- To provide a cost-effective and efficient smart parking solution.
Main Methods:
- Deployment of Bluetooth beacon transmitters in vehicles and receivers along roadside parking spaces.
- Utilizing Kalman filter for processing received beacon signals to estimate vehicle presence and location.
- Leveraging signal strength analysis for parking space occupancy detection.
Main Results:
- The developed Bluetooth beacon system successfully detects parking space occupancy.
- Vehicle identification is achieved through the processing of beacon signals.
- Experimental results confirm the system's effectiveness despite potential inaccuracies in distance estimation.
Conclusions:
- A Bluetooth beacon-based system offers a feasible and low-cost solution for on-street smart parking management.
- The system effectively addresses the limitations of current technologies by providing both occupancy detection and vehicle identification.
- This approach presents a viable strategy for improving urban parking efficiency and management.
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