Design of an intelligent information management system for an underground car park

At present, in large underground car parks, there is a common problem that drivers have difficulty in parking and picking up cars. A vehicle positioning algorithm that integrates RSSI trilateral positioning method with quadrilateral parking method is proposed, and a dual backup vehicle positioning information transmission system based on Zigbee is developed, and finally a vehicle positioning visualization software is developed using LabVIEW software by calling GIS electronic map component MapX control, information is stored in the SQL server database. The test results show that the positioning error of this system is within 0.5 metres, which meets the requirements of vehicle positioning; the vehicle guidance system developed based on the technology of this paper eases the traffic congestion in underground car parks.

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Publication Details

Published
2025-02-21
DOI
https://doi.org/10.1145/3732365.3732392
Primary Topic
Smart Parking Systems Research
Type
article
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article

Design of an intelligent information management system for an underground car park

Yi-Jia Zhang, Xinyue Wang
Smart Parking Systems Research
article

Design of an intelligent information management system for an underground car park

Yi-Jia Zhang, Xinyue Wang
article en

Abstract

At present, in large underground car parks, there is a common problem that drivers have difficulty in parking and picking up cars. A vehicle positioning algorithm that integrates RSSI trilateral positioning method with quadrilateral parking method is proposed, and a dual backup vehicle positioning information transmission system based on Zigbee is developed, and finally a vehicle positioning visualization software is developed using LabVIEW software by calling GIS electronic map component MapX control, information is stored in the SQL server database. The test results show that the positioning error of this system is within 0.5 metres, which meets the requirements of vehicle positioning; the vehicle guidance system developed based on the technology of this paper eases the traffic congestion in underground car parks.

Northeastern University (CN)
Sustainable cities and communities
Openalex Percentile: Top 84%
Smart Parking Systems Research
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