DocumentCode
723359
Title
IPLMS: An intelligent parking lot management system
Author
Jiameng Wang ; Gebara, Stefanie ; Zhengyi Sun ; Qi Wu ; Keqin Zong ; Hao Sun ; Farajidavar, Aydin
Author_Institution
Dept. of Electr. & Comput. Eng., New York Inst. of Technol., Old Westbury, NY, USA
fYear
2015
fDate
1-1 May 2015
Firstpage
1
Lastpage
6
Abstract
In this paper, we are introducing an intelligent valet parking management system that guides the cars to autonomously park within a parking lot. The IPLMS for Intelligent Parking Lot Management System, consists of two modules: 1) a model car with a set of micro-controllers and sensors which can scan the environment for suitable parking spot and avoid collision to obstacles, and a Parking Lot Management System (IPLMS) which screens the parking spaces within the parking lot and offers guidelines to the car. The model car has the capability to autonomously maneuver within the parking lot using a fuzzy logic algorithm, and execute parking in the spot determined by the IPLMS, using a parking algorithm. The car receives the instructions from the IPLMS through a wireless communication link. The IPLMS has the flexibility to be adopted by any parking management system, and can potentially save the clients time to look for a parking spot, and/or to stroll from an inaccessible parking space. Moreover, the IPLMS can decrease the financial burden from the parking lot management by offering an easy-to-install system for self-guided valet parking.
Keywords
microcontrollers; road traffic; sensors; traffic engineering computing; IPLMS; IPLMS system; fuzzy logic algorithm; intelligent parking lot management system; intelligent valet parking management system; microcontrollers; parking algorithm; parking lot management system; sensors; wireless communication link; Computers; DC motors; Fuzzy logic; Sensors; Servomotors; Turning; Wheels; Obstacle avoidance; Parking lot Management System; Self-guided parking;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Applications and Technology Conference (LISAT), 2015 IEEE Long Island
Conference_Location
Farmingdale, NY
Type
conf
DOI
10.1109/LISAT.2015.7160219
Filename
7160219
Link To Document