DocumentCode :
3579667
Title :
QR code location based reverse car-searching route recommendation model
Author :
Zhenxiang Chen ; Jiabin Fu ; Runyuan Sun ; Hongbo Han
Author_Institution :
Shandong Provincial Key Lab. of Network Based Intell. Comput., Univ. of Jinan, Jinan, China
fYear :
2014
Firstpage :
73
Lastpage :
77
Abstract :
To deal with the reverse car-searching issue in large buildings and parking lots, a Quick Response Code (QR code) based reverse car-searching route recommendation model is designed. By scanning the deployed QR codes, a Smartphone can pinpoint the host location and parking location efficiently. Based on the submitted location information, the central control system can finally return the recommended routes, which facilitates a host to reach the parking location effectively. In our model, the reverse car-searching route is divided into two parts: choosing the optimal exports (elevator) and computing the shortest walking distance route. Based on the optimal export selection algorithm and regional shortest path algorithm, our model can choose the prior exports (elevator) effectively, and then recommend the optimal walking route in the buildings and parking lots. The simulation shows that this low-cost system can effectively solve the reverse car-searching problem in large buildings and parking lots, save the driver´s car-searching time and improve the utilization rate of parking facilities.
Keywords :
QR codes; automobiles; mobile computing; road traffic control; vehicle routing; QR code location based reverse car-searching route recommendation model; central control system; host location; optimal export selection algorithm; parking location; parking lots; quick response code; recommended routes; regional shortest path algorithm; shortest walking distance route; smartphone; Control systems; Floors; Indexes; Legged locomotion; Navigation; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2014 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICVES.2014.7063727
Filename :
7063727
Link To Document :
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