IoT Based Smart Parking System with API Access

Abstract

The currently employed systems to monitor parking can provide information limited to the location and
number of parking spaces available in a single parking space on arrival of the user. With the advances in
infrastructure in India and rapid urbanization, people are now travelling more than ever. While there have been
strides to improve public transportation systems, it simply can't sustain the population of our country. After arrival at
a destination, users must indulge in the struggle to find a suitable parking spot which is both time consuming and
leads to road congestion. This also contributes to the increased C02 emissions due to unnecessary idling of cars. In
order to solve the parking problem, many people will search for the nearest parking lot and navigate themselves using
the ever reliable Google maps but this isn't a robust solution.
Consequently, this paper reviews newer methods to (i) upload, (ii) receive and (iii) process real-time specimen data
from multiple parking spaces en route to the user's destination aiding to mobilise traffic. This system is implemented
by using Internet of Things (IoT) features integrated with GoogleMaps APIs developed on personal mobile devices.
The review further discusses a method to optimize the flow of parking traffic and help the user localise a parking
space before arriving at their destination. The users can also know their respective parking duration and effectively
budget the parking cost.