A Hybrid Technique for Smart Parking Management System in a Smart City

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    Considering the urban environment, we proposed a new model “Parking Management System”. The complete model provides you the basic features of the parking system. The system designates an exact parking slot for the driver. On the basis of user requirement, it includes the proximity to destination and the cost of parking. The capacity of overall parking is utilized efficiently. The system approach solves the problem at individual decisions in a time driven sequence. This is the most favorable solution based on the allocation on present state affair and subject to the arbitrary incidents such as the request of the new user and availability of the parking space. At the next decision point, the allocation is updated ensuring that there is no conflicts in the resource reservation and the assignment of resource have the higher cost than the current cost of function value. The proposed system enables users to find out the free parking space on the cost on new performance metrics to calculate the cost of user parking under the consideration of distance and the total no of free places. The system show that the algorithm helps improves the probability of successful parking and the user waiting time is minimized. The proposed system is implemented by us in the real world successfully.



  • Keywords

    Parking, Dynamic Resource Allocation, smart city.

  • References

      [1] Arnott R, Rave T, Schöb R. Alleviating urban traffic congestion. MIT Press Books. 2005;1..

      [2] Shoup D. The High Cost of Free Parking: Updated Edition. Routledge; 2017 Oct 20.

      [3] Griffith E. Pointing the way. ITS International, page 72, 2000.

      [4] Teodorović D, Lučić P. Intelligent parking systems. European Journal of Operational Research. 2006 Dec 16;175(3):1666-81.

      [5] Cheung SY, Varaiya PP. Traffic surveillance by wireless sensor networks (Doctoral dissertation, University of California, Berkeley).

      [6] Mimbela LE, Klein LA. Summary of vehicle detection and surveillance technologies used in intelligent transportation systems.

      [7] Thompson RG, Bonsall P. Drivers’ response to parking guidance and information systems. Transport Reviews. 1997 Apr 1;17(2):89-104.

      [8] Waterson BJ, Hounsell NB, Chatterjee K. Quantifying the potential savings in travel time resulting from parking guidance systems—a simulation case study. Journal of the Operational Research Society. 2001 Oct 1;52(10):1067-77.

      [9] Rodier CJ, Shaheen SA. Transit-based smart parking: An evaluation of the San Francisco Bay area field test. Transportation Research Part C: Emerging Technologies. 2010 Apr 1;18(2):225-33.

      [10] Hodel TB, Cong S. Parking space optimization services, a uniformed web application architecture. InITS World Congress Proceedings 2003 (pp. 16-20).

      [11] http://sfpark.org.

      [12] http://streetline.com

      [13] Geng Y, Cassandras CG. Dynamic resource allocation in urban settings: A “smart parking” approach. InComputer-Aided Control System Design (CACSD), 2011 IEEE International Symposium on 2011 Sep 28 (pp. 1-6). IEEE.

      [14] Kuran MŞ, Viana AC, Iannone L, Kofman D, Mermoud G, Vasseur JP. A smart parking lot management system for scheduling the recharging of electric vehicles. IEEE Transactions on Smart Grid. 2015 Nov;6(6):2942-53.

      [15] Amini MH, Moghaddam MP, Karabasoglu O. Simultaneous allocation of electric vehicles’ parking lots and distributed renewable resources in smart power distribution networks. Sustainable Cities and Society. 2017 Jan 31;28:332-42.

      [16] Ichihashi H, Notsu A, Honda K, Katada T, Fujiyoshi M. Vacant parking space detector for outdoor parking lot by using surveillance camera and FCM classifier. InFuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on 2009 Aug 20 (pp. 127-134). IEEE

      [17] Rathore MM, Ahmad A, Paul A. IoT-based smart city development using big data analytical approach. InAutomatica (ICA-ACCA), IEEE International Conference on 2016 Oct 19 (pp. 1-8). IEEE.

      [18] Neto EC, Reboucas ES, de Moraes JL, Gomes SL, Reboucas Filho PP. Development control parking access using techniques digital image processing and applied computational intelligence. IEEE Latin America Transactions. 2015 Jan;13(1):272-6.




Article ID: 23009
DOI: 10.14419/ijet.v7i4.15.23009

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.