Manjima De Sarkar
Dept. of ECE,
NIT Arunachal Pradesh, India
Recently the number of vehicles increased consistently and parking space is becoming a major issue. In urban and semi-urban places is required to design a parking system automatically which will reduce manual work as well reduce the problem of cars parking on streets. This paper presented an easy implementation of parking management strategies using smart technologies. The motivation for this research paper is to identify the positive points of the innovative approaches, which will aid in designing an automatic car parking system. In most metropolitan areas, it is very difficult for the driver to find parking spaces, especially during the busy hours. There is a big problem knowing where the parking space is available time. Many vehicles can catch very limited parking spaces. In this paper, we design and implement the smart parking system prototype reserved for the search and reserve effectively in an empty parking sphere. By learning the parking status regularly from the sensor network in the parking lot, it is affected by the reservation service due to changes in physical parking conditions. In addition, we study the state-of-the-art parking policy in smart parking systems and compare its performance. The proposed reservation-based parking policy is likely to ease the operation of the parking system and reduce the traffic junk due to parking search.
Automated Parking Management;
Car Parking Strategy;
Radio Frequency Technology.
Manjima De Sarkar, “Smart Car Parking Management System,” International Journal of Advanced Engineering and Management, Vol. 2, No. 11, pp. 283-286, 2017.
- Hubbard, P. (2003). Fear and loathing at the multiplex: everyday anxiety in the post-industrial city. Capital & Class, 27(2), 51-75.
- Appleyard, D., & Lintell, M. (1972). The environmental quality of city streets: the residents’ viewpoint. Journal of the American Institute of Planners, 38(2), 84-101.
- Pearre, N. S., Kempton, W., Guensler, R. L., & Elango, V. V. (2011). Electric vehicles: How much range is required for a day’s driving?. Transportation Research Part C: Emerging Technologies, 19(6), 1171-1184.
- Loukaitou-Sideris, A., & Fink, C. (2009). Addressing women’s fear of victimization in transportation settings: A survey of US transit agencies. Urban Affairs Review, 44(4), 554-587.
- Mehta, S. S., & Maniam, B. (2002). Marketing determinants of customers’ attitudes towards selecting a restaurant. Academy of Marketing Studies Journal, 6(1), 27-44.
- Valverde, J., Rosello, V., Mujica, G., Portilla, J., Uriarte, A., & Riesgo, T. (2011). Wireless sensor network for environmental monitoring: application in a coffee factory. International Journal of Distributed Sensor Networks, 8(1), 638067.
- Srivastava, R., Kumar, N., Barnwal, A., & Singh, S. (2017). Grid Interactive Solar Powered Automated Bottling Plant Using Microcontroller. International Journal of Advanced Engineering and Management, 2(1), 9-14.
- Jacobsson, S., & Johnson, A. (2000). The diffusion of renewable energy technology: an analytical framework and key issues for research. Energy policy, 28(9), 625-640.
- Weinstein, R. (2005). RFID: a technical overview and its application to the enterprise. IT professional, 7(3), 27-33.
- Jha, M. N., Levy, J., & Gao, Y. (2008). Advances in remote sensing for oil spill disaster management: state-of-the-art sensors technology for oil spill surveillance. Sensors, 8(1), 236-255.
- Lee, B. (2003). Review of the present status of optical fiber sensors. Optical fiber technology, 9(2), 57-79.
- armkeil, ARM, [Online]. Available: http://www2.keil.com/mdk5/uvision/. [Accessed 14 01 2018].
- Urry, J. (2008). Governance, flows, and the end of the car system?. Global Environmental Change, 18(3), 343-349.