Bidirectional Inductive Dynamic Updating Parking System Based on CH Algorithm
- DOI
- 10.2991/978-94-6463-610-9_7How to use a DOI?
- Keywords
- CH algorithm; Bidirectional induction system; Path planning; Intelligent parking system; Real-time data processing
- Abstract
This study developed a bidirectional induction parking system based on the Contraction Hierarchies (CH) algorithm, aimed at enhancing operational efficiency and customer satisfaction in parking facilities. The CH algorithm creates a hierarchical graph structure to accelerate vehicle path queries, effectively finding vacant parking spaces to reduce traffic congestion and optimize parking lot utilization. The system integrates high-performance microcontrollers, sensors, cameras, and communication modules for real-time monitoring and data processing. Using bidirectional search strategies, the system provides the shortest entry and exit paths, significantly improving query efficiency. Experimental results demonstrate that compared to traditional parking systems, this system greatly reduces search times, enhances parking space utilization and traffic flow management efficiency, and improves user experience. This study highlights the effectiveness of CH algorithm-based parking systems in addressing modern urban parking challenges and demonstrates their potential application in intelligent transportation systems.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yilu Yang AU - Yi Kong PY - 2024 DA - 2024/12/16 TI - Bidirectional Inductive Dynamic Updating Parking System Based on CH Algorithm BT - Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024) PB - Atlantis Press SP - 60 EP - 67 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-610-9_7 DO - 10.2991/978-94-6463-610-9_7 ID - Yang2024 ER -