Accurate Guidance Method and App Development for Assigning Parking Spaces Based on Indoor Wi-Fi
Existing parking guidance systems only provide road guidance outside the parking lot but do not provide accurate guidance to specific parking spaces inside the parking lot. By using a Kalman filter, the Grubbs test, and a neural network algorithm to improve the RSSI-based location fingerprint identification technology, an accurate location method based on indoor Wi-Fi is obtained, which implements precise route guidance and a reverse search function for parking spaces. We utilize Beidou positioning to develop a Gaode map for outdoor navigation and use an integrated system of ultrasonic detector/indicators and ground locks to manage parking spaces. Through the secondary development of an Android system and the application of a MySql database, an app for precise parking guidance was developed. The system makes full use of the Internet and parking information, eliminates information asymmetry, improves the utilization ratio of the urban static traffic resources, allocates parking spaces in real-time, breaks information islands, provides parking search and recommendation functions for users, achieves parking information-sharing, and effectively improves parking efficiency and the parking utilization ratio.
China Parking Lot Equipment Industry Competition Situation and Investment Direction Research Report (2015-2020). Beijing: Zhiyan Consulting Groupc; 2015. Chinese.
Cavalieri S. WLAN-based outdoor localisation using pattern matching algorithm. International Journal of Wireless Information Networks. 2007;14(4): 265-279.
Leephakpreeda T. Car-parking guidance with fuzzy knowledge-based decision making. Building and Environment. 2005;42(2): 803-809.
Carvalho e Ferreira D, de Abreu e Silva J. Tackling cruising for parking with an online system of curb parking space reservations. Case Studies on Transport Policy. 2016;5(2): 179-189.
Shin JH, Jun HB, Kim JG. Dynamic control of intelligent parking guidance using neural network predictive control. Computers & Industrial Engineering. 2018;120: 15-30.
Tu JF. Parking lot guiding with IoT way. Microelectronics Reliability. 2019;94: 19-23.
Horng GJ. The cooperative on-street parking space searching mechanism in city environments. Computers and Electrical Engineering. 2019;74: 349-361.
Safi QGK, Luo S, Pan L, Liu W, Hussain R, Bouk SH. SVPS: Cloud-based smart vehicle parking system over ubiquitous VANETs. Computer Networks. 2018;138: 18-30.
Thomas D, Kovoor BC. A genetic algorithm approach to autonomous smart vehicle parking system. Procedia Computer Science. 2018;125: 68-76.
Cao J, Menendez M. Quantification of potential cruising time savings through intelligent parking services. Transportation Rese arch Part A: Policy and Practice. 2018;116: 151-165.
Geng YF, Cassandras CG. A new “smart parking” system infrastructure and implementation. Procedia - Social and Behavioral Sciences. 2012;54: 1278-1287.
Yu RH. A design of smart parking management system based on iBeacon. M.A. thesis. Xidian University, Xi’an, China; 2015.
Yue YX, Jin H. Intelligent Parking Guidance System Based on Wi-Fi and Bluetooth Technology. Computer and Modernization. 2016;04: 90-93.
Jiang FY, Yan ML, Zhang XY, Dai GD, Wang XH, Wei LX. Design of Reverse Car-finding System for Large Underground Parking Lot Based on AR Technology. Journal of Yancheng Institute of Technology (Natural Science Edition). 2018;31(01): 64-69.
Chen XY, Zhang XY, Zhang ZY. The Application of WiFi Location Technology in Underground Parking Manageconvenience ment System. Journal of Chengdu University of Information Technology. 2019;34(03): 251-256.
Huang JW, Zou CY, Xiao YB, Cai WX. WiFi-based Checking System for Extensible AMR Parking Place. Modern Electronics Technique. 2011;34(03): 151-153+156.
Geng C. The design of parking lots detection system based on ZigBee technology. M.A. thesis. Inner Mongolia Univ., Inner Mongolia, China; 2013.
Yang T, Ni JP, Ma YF, Ji BW, Chen D. Optimization Design of Intelligent Parking Integrated System in the Parking Lot. Journal of Test and Measurement Technology. 2019;33(02): 104-109.
Liao SF, Du KL, Zhao YM, Yi JW, Wu FF, Pan YM, Yang H. Scheme Design of Indoor Parking Navigation System. Value Engineering. 2019;38(07): 162-164.
Cao S. Wireless sensor network security system design based on parking area. M.A. thesis. North China Electric Power University, Beijing, China; 2014.
Xing K. Research and implementation of intelligent parking system and parking detection algorithm. M.A. thesis. Beijing University of Posts and Telecommunications, Beijing, China; 2016.
Dong YX, Zhang HY, Chen J. Location Fingerprint Algorithm Based on Wi-Fi Indoor Positioning. Industrial Control Computer. 2015;28(01): 72-74.
Huo HB, Zhang JS, Pan TH, Lu Q, Zhao J, Zhou Y. Design of lock management system for intelligent parking spaces. Measurement & Control Technology. 2017;36(10): 93-97.
Copyright (c) 2021 Fuquan Pan, Haitao Pan, Lixia Zhang, Changxi Ma, Jinshun Yang, Guoxiang Kang
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).