A Navigation and Reservation based Smart Parking platform using IoT by Queuing Theory
- April 21, 2018
- Posted by: RSIS
- Categories: Electrical and Electronics Engineering, Electronics & Communication Engineering
International Journal of Research and Scientific Innovation (IJRSI) | Volume V, Issue IV, April 2018 | ISSN 2321–2705
A Navigation and Reservation based Smart Parking platform using IoT by Queuing Theory
Divya Pandey1 and Seema Hanchate2
1, 2 SNDT WOMEN’S University, Mumbai, INDIA
Abstract: – With liberalization of economy number of vehicle on the road have increased leading to illegal, unorganized parking behavior in at public place, private building, educational campus, corporate campus. our main objective to avoid this unorganized parking system, for this to avoid we can provide the intelligent parking system which can solved the real time problem of organized and unorganized parking, In this study we will develop a smart parking proposal using queuing theory approach which can be model the parking system as a queue and the evaluation parameter like wait time for user in a queue or in a system can be estimated. The parking space closest to the current location can be found using multiple server multiple queue system and optimizing the existing system for better user experiences.
Keywords: Smart parking, Queue theory, Parking system
I. INTRODUCTION
The idea of smart car parking systems is recently gaining attention in many countries of the world owing to need for urban renewal programs and smart city initiatives (urbanization).
1.1 Background
In last 50 years, urban population of India has exponentially grown from 17.6 percent to 34.6 percent with an annual rate of 1.72 percent in 2018 [1]. This population trend has increased significantly from 45.2 million in 1960 to 182.2 million in 2015. By estimation, it is expected to grow to around 38 percent by 2035. As per research world is going to have 2 billion of car on the road by 2020, Added to this around 770 million of truck, from this we can get an fair idea about how our traffic system can being the near future. thus this is very challenging task to find a better and a convenient and safe parking spot.
