Analyzing Significant Reduction in Traffic by Using Restricted Smart Parking

Abstract

AbstractWith the growth of population specifically in market areas and industrial areas, the traffic-related consequences such as congested roads, finding vacant parking space, traffic congestion at major traffic points in the town, etc. are also increasing particularly at office hours, business hours, and peak hours. Drivers of the vehicle just keep on circling in parking lot to find the vacant parking space. Due to this, people are facing a lot of problems like delay in traveling time, getting frustrated as well as health hazard caused due to vehicular fuel pollution. To overcome this problem, many parking management systems have been introduced which helps in providing information about exact real-time car parking space availability to drivers. In this paper, we are considering real-time smart parking system for collecting data of smart parking lot occupancy and parking restrictions on each lot from field sensor devices and then forwarded to servers for processing as well as usage for application which are on Google Play store and iOS users from App store. The main objective of this analysis is to help end users such as citizens and parking manager to ease traffic congestion and reduces time by using real-time bay sensor data and application to show driver exact location in parking lot. The focus of this paper is to analyze statistics of maximum stay of each car in parking lot, influencing traffic in parking restriction lot depending on the weekdays. KeywordsIoTSmart parkingSmart traffic management