scholarly journals Smart parking management system with dynamic pricing

Author(s):  
Md Ashifuddin Mondal ◽  
Zeenat Rehena ◽  
Marijn Janssen

Smart parking is becoming more and more an integral part of smart city initiatives. Utilizing and managing parking areas is a challenging task as space is often limited, finding empty spaces are hard and citizens want to park their vehicles close to their preferred places. This becomes worse in important/posh areas of major metropolitan cities during rush hour. Due to unavailability of proper parking management system, citizens have to roam around a lot in order to find a suitable parking area. This leads to the wastage of valuable time, unnecessary fuel consumption and environmental pollution. This paper proposes a smart parking management system (SPMS) based on multiple criteria based parking space reservation algorithm (MCPR) that allows the driver/owner of vehicles to find and reserve most appropriate parking space from anywhere at any time. The system also considers the concept of dynamic pricing strategy for calculating parking charge in order to gain more revenue by the government agencies as well as private investors. The system employs sensors to calculate concentration index, average inter-arrival time of vehicles of a parking area for better parking management and planning. The simulation results show that proposed system reduces the average extra driving required by the users to find a parking area and hence it will reduce traffic congestion, which in turn reduces air pollution caused by unnecessary driving to find a proper parking area.

With the vast growing influx of population in the developed, industrially and technologically sound urban cities, an urgent need to make the cities smart is surmounted. The cities are made smart utilizing data sharing, artificial intelligence, machine learning, analytics, and thousands of RFID tags and sensors. One of the significant concerns of today's smart cities is the growing need to manage the vehicles on-road as well as to create sufficient and well-managed parking lots to prevent urban areas from traffic congestion. This leads to a call for highly automated parking management system self-sufficient in guiding the driver to an available parking space in the nearby area. In this paper, a real-time prototype of the smart parking system (S.P system) based on Internet of Things (IoT) is discussed. The proposed smart parking system works on an electronic device that collects the parking availability status and assists drivers in finding and selecting the desired parking space among the available parking spaces that effectively reduces the traffic problems and mismanagement across the cities to a great extent.


2018 ◽  
Vol 7 (4.15) ◽  
pp. 286
Author(s):  
Patita Paban Panda ◽  
Sudhansu Sekhar Das

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.  


Author(s):  
V. C. Bharathi

In the modern age, many people have vehicles. Vehicle is now a primary need. Every place is under process of urbanization. There are many supermarkets and shopping centers etc. There are many creative places where people used to go for refreshing and relaxation. All these places are full of with people so they need a parking space where people can park their vehicles safely and easily. Every parking area needs a website or system that records the detail of vehicles to give the parking facility. With the help of iot based system we can deliver a good service to users/people who wants to park their vehicles into organization’s premises. Present days in parking areas they just maintain the vehicles just with tokens and they have records of vehicle details in books so that during some critical situations like police enquiry of terrorist car or vehicle missing that case it is difficult to find the details of particular vehicle. But with our parking management system it is easy to find within 1 to 2 seconds. By parking the vehicle in public place the vehicle can be claimed by other person but in this case there is no such problem and no need to give fine for anything we can park our vehicle with securely.


Author(s):  
Mohammed Rezwanul Islam ◽  
Sami Azam ◽  
Bharanidharan Shanmugam ◽  
Asif Karim ◽  
Jamal El-Den ◽  
...  

Author(s):  
Yadnesh Joshi ◽  
Pratik Gharate ◽  
Chetan Ahire ◽  
Nikhil Alai ◽  
Samadhan Sonavane

2020 ◽  
Vol 17 (4) ◽  
pp. 1578-1583
Author(s):  
V. Sathya ◽  
Bheemanadham ◽  
Surya Sai ◽  
Arpit Tharad ◽  
Ayush Kumar ◽  
...  

Lately, the idea of brilliant urban communities has increased awesome notoriety. Parking becomes one of the tedious tasks in our day to day life. Many efforts have been done in this field to solve parking based problems like traffic congestion, limited parking space, high parking charges, and the most basic problem is to find nearby parking space. In this paper, we proposed an algorithm that increases the efficiency of the current cloud-based smart parking system and develops a network architecture based on Internet-Of-Things technology. Our proposed system helps users automatically find a free parking space at the least cost based on new performance metrics to calculate the user parking cost by considering the distance from the user to parking area and the total number of free places in each car park. A mobile application is provided that navigate the user to the free parking space based on the efficiency based on distance and cost. This cost will be utilized to offer an answer of finding an accessible parking spot upon a demand by the client and an answer of proposing another car park if the present park is full.


Sign in / Sign up

Export Citation Format

Share Document