scholarly journals Smart Parking with Fair Selection and Imposing Higher Privacy Constraints in Parking Owner and Driver Information

2021 ◽  
Vol 3 (1) ◽  
pp. 11-20
Author(s):  
Vivekanadam B
Keyword(s):  
Privacy Protection ◽  
High Efficiency ◽  
Bloom Filters ◽  
Willingness To Participate ◽  
Group Signatures ◽  
Parking Spot ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
Privacy Constraints

The use of private cars has enhanced the comfort of travel of individuals, but has proven to be a challenge for parking in congested downtown areas and metropolitans. This hike in the vehicle count has led to difficulty among the drivers to find a parking spot, exploiting resources and time. On the other hand, there are many idle private parking spots that remain inaccessible because of multiple reasons like unavailable owners, different open timings and so on. In order to prevent parking issues as well as to enable the use of private parking spots, smart parking applications that are easy to use by the drivers will prove to be highly effective. However, most parking lot owners and drivers face the threat of privacy which affects their willingness to participate while many others are located in a centralized location where the presence of malicious users is in plenty. In this proposed work, we have introduced a smart-parking system that is based on blockchain exhibiting qualities of privacy protection, reliability and fairness. To protect the privacy of users, vector-based encryption, bloom filters and group signatures are also insisted. This has helped us establish a more reliable smart parking system coupled with fair operation for smart contact. Experimental analysis of the real-world dataset indicates that the proposed work operates with high efficiency, establishing privacy protection, reliability and fairness.

scholarly journals Background Subtraction Method based Smart Parking System using Image Processing

2020 ◽  
Vol 9 (4) ◽  
pp. 1839-1844
Keyword(s):  
Image Processing ◽  
Credit Card ◽  
Raspberry Pi ◽  
Subtraction Method ◽  
System Availability ◽  
Parking Spot ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
The Internet Of Things

Now a day's population is increasing day by day. Due to increase in population usage of vehicles and the traffic at parking lot also increases. For this reason getting a parking spot is very difficult and time consuming for the car drivers. So to reduce this difficulty we are proposing a system called "Baground subtraction method based smart parking system using image processing". This paper is mainly concerned to develop smart parking system on a credit card sized computer and camera is fitted at a parking lot to show availability of a parking place. The image processing can be performed on a Raspberry pi interface with Things view cloud platform through an API to detect cars. Rasperry Pi posts data to the Things view cloud, Showing that the internet of things(IOT) based parking system. Availability of parking slot can be viewed in drivers mobile and they can book the parking slot from their mobile by using an app.

How Much Can a Smart Parking System Save You?

2014 ◽  
Vol 22 (4) ◽  
pp. 15-20 ◽  
Author(s):  
Glenn Surpris ◽  
Dahai Liu ◽  
Dennis Vincenzi
Keyword(s):  
Real Time ◽  
Discrete Event Simulation ◽  
Vehicle Emissions ◽  
Discrete Event ◽  
Parking Lots ◽  
Event Simulation ◽  
Parking Spot ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking

We conducted this study to investigate the effect of smart parking systems on parking search times in large parking lots. Smart parking systems are systems that provide real-time parking spot availability information to drivers. We used discrete event simulation to model a university parking lot and estimate how much time could be saved without physically implementing a system for experimentation. We found that smart parking systems can reduce search times by an average of 11 s. This shows potential for a multi-lot smart parking system that might save a larger amount of time and reduce harmful vehicle emissions.

scholarly journals Smart Parking Guidance System on IoT

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2793-2798 ◽  
Keyword(s):  
Video Processing ◽  
Guidance System ◽  
Raspberry Pi ◽  
Parking Space ◽  
Shopping Malls ◽  
Public Facilities ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
Haar Cascade

Nowadays, smart parking guidance system is a crucial research for people’s convenience where the integrating concept of IoT that include hardware and software with the connection of internet for image or video processing technology is a powerful application which made up a complete smart parking system. The main objective of this research is to develop and analyze on a smart parking guidance system where current available system was compared to this new proposed system. Limited parking space has become serious issue since the number of Malaysia’s populations are using car keep increasing. Some of the big companies, shopping malls and other public facilities already deployed a smart parking system on their building. However, there are still a lot of buildings that do not own it because the system required a lot of investment, where the huge parking areas need higher cost to install sensors on each parking lot available and cameras are costly and lower in reliability. The proposed smart parking guidance system in this research was depending on a 360° camera that was modified on Raspberry Pi camera module and 360o lens that process with De-Warping techniques for the normal view rather than 360-degree view and Haar-Cascade classifier. The image and video processing was done by Open CV and python program to detect the available parking space and cloud firebase was used to update data where users can access the parking space availability by android mobile phone specifically at a closed parking space. A single 360°camera was replaced several sensors and cameras which were implemented on traditional parking guidance system. In the end of the paper, it is proved that prototype based smart parking is the convenient way to find the parking space availability.

Exploring IoT-Enabled Smart Transportation System

2019 ◽  
pp. 186-202 ◽  
Author(s):  
Sushruta Mishra ◽  
Shikha Patel ◽  
Amiya Ranjan Ranjan Panda ◽  
Brojo Kishore Mishra
Keyword(s):  
Weather Conditions ◽  
Transportation System ◽  
Automated System ◽  
Smart Transportation ◽  
Parking Spot ◽  
Parking System ◽  
Traffic Scenario ◽  
Smart Parking ◽  
And Performance ◽  
Real Time Information

Internet of Things (IoT) is a platform that makes a device smart such that every day communication becomes more informative. A Smart Transportation system basically consists of three components which include smart roads, smart vehicles and a smart parking system. Smart roads are used to describe roads that use sensors and IoT technology which makes driving safer and greener. Smart parking system involves an automated system model that can assist the drivers in selecting the suitable parking spot for them. The data that the system collects will be sent for some analysis. It provides real time information to drivers about various aspects of transportation like weather conditions, traffic scenario, road safety, parking space, and many other things. A well-built Smart Transportation system reduces the risk of accidents, improves safety, increases capacity, reduces fuel consumption, and enhances overall comfort and performance for drivers. Our chapter deals with the in-depth discussion of these various aspects of a smart transportation system enabled with IoT technology.

Cloud Based Smart Parking System

2020 ◽  
Vol 17 (4) ◽  
pp. 1578-1583
Author(s):  
V. Sathya ◽  
Bheemanadham ◽  
Surya Sai ◽  
Arpit Tharad ◽  
Ayush Kumar ◽  
...  
Keyword(s):  
Urban Communities ◽  
Traffic Congestion ◽  
Network Architecture ◽  
Performance Metrics ◽  
Parking Space ◽  
Parking Spot ◽  
Parking System ◽  
Car Park ◽  
Smart Parking ◽  
Internet Of Things Technology

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.

Smart Parking System Based on Wireless Sensor Network for Large Parking Lots

2012 ◽  
Vol 195-196 ◽  
pp. 889-894 ◽  
Author(s):  
Mei Yan Zhang ◽  
Li Ping Zhou ◽  
Wen Yu Cai
Keyword(s):  
Sensor Node ◽  
Transmission Function ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Protocol ◽  
Parking Space ◽  
Congested Area ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking

In China, finding a vacant parking space in a congested area or a large parking lot is always time consuming and frustrating. To minimize hassle and inconvenience to the automatic drivers, this paper proposed a novel smart parking system which consists of many parking sensor nodes and one parking gateway in one large parking lot. Parking sensor node is used as vehicle occupancy detector and parking gateway is used as parking lot manager. All parking sensor nodes compose wireless sensor networks with Zigbee transmission protocol. With the GPRS/3G transmission function of parking gateway, large parking lot can provide friendly parking information to the running vehicles and subscribed users. In a word, the proposed novel smart parking system is provided with innovative and practicability.

scholarly journals Smart Parking Guidance System Using 360o Camera and Haar-Cascade Classifier on IoT System

2019 ◽  
Vol 8 (2S11) ◽  
pp. 864-872 ◽  
Keyword(s):  
Video Processing ◽  
Guidance System ◽  
Raspberry Pi ◽  
Parking Space ◽  
Shopping Malls ◽  
Cascade Classifier ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
Haar Cascade

Nowadays, smart parking guidance system is a crucial research for people’s convenience. The main objective of this research is to develop and analyze on a smart parking guidance system where current available system was compared to this new proposed system. Limited parking space has become serious issue since the number of Malaysia’s populations who are using car keep increasing. Some of the big companies, shopping malls and other public facilities already deployed a smart parking system on their building. However, there are still a lot of buildings that do not own it because the system required a lot of investment, where the huge parking areas need higher cost to install sensors on each parking lot available. The proposed smart parking guidance system in this research was depending on a 360° camera that was modified on raspberry pi camera module and 360o lens and Haar-Cascade classifier. The image and video processing was by Open CV and python program to detect the available parking space and cloud firebase was used to update data where users can access the parking space availability by android mobile phone specifically at a closed parking space. A single 360°camera was replaced several sensors and camera which was implemented on traditional smart parking system. An analysis was done on the performance of the system where it can detect the parking availability with 99.74% accuracy and which is far better than conventional system including reliability and cost for the parking space guidance system.

scholarly journals IOT Based Smart Parking System

2021 ◽  
Vol 9 (VII) ◽  
pp. 1311-1318
Author(s):  
H. Venkatesh Kumar
Keyword(s):  
Communication Technology ◽  
Mobile Application ◽  
Scheduling Algorithm ◽  
Parking Space ◽  
Monthly Basis ◽  
Rfid Tag ◽  
Parking Spot ◽  
Ir Sensors ◽  
Parking System ◽  
Smart Parking

In This project we are designing an IoT based Smart parking system that integrates with mobile Application. It provides a comprehensive parking solution both for the user and owner of the parking space. Features are provided for reserving a parking space, authenticating a reserved user, identifying nearest free space depending on the size of the vehicle, navigating to the parking slot and computes accounts information on daily, weekly and monthly basis. IR sensors are used to identify if a parking spot is free. Availability of a free slot with its location information is transmitted using WIFI module technology, microcontroller and wireless communication technology to the server and is retrieved though a mobile application. RFID tag attached to a vehicle is used to authenticate a user who reserves the parking slot on an hourly, daily, weekly or monthly basis. A scheduling algorithm is used to identify the nearest free slot based on the size of a vehicle. The owner of the parking space can get the analytics of the number of free and available slots for a given period, the occupancy rate on week days and weekend and the amount collected for a given period and can use it for fixing variable parking fees. The mobile application is designed to provide rich customer experience.

scholarly journals An Approach to Implement Cost Efficient Space Detection Technology with Lower Complexity for Smart Parking System

2015 ◽  
Vol 15 (3) ◽  
pp. 415
Author(s):  
Himal Pratap Singh ◽  
Om Prakash Uniyal ◽  
Kireet Joshi
Keyword(s):  
System A ◽  
Detection Technology ◽  
Parking System ◽  
Parking Lot ◽  
Smart Parking ◽  
Vehicle Production ◽  
Lower Complexity ◽  
Cost Efficient ◽  
Simple Technology ◽  
Detection Technologies

<p>As the population of world is growing day by day, there is a rapid increment in the vehicle production. With the increase in number of the vehicles, more parking spaces and efficient ways of parking are required. In the proposed system, a new and cost efficient way of finding the free spaces in parking lot is proposed and also different space detection technologies are compared. This system will be helpful for the drivers in finding the vacant spaces in the car parking lots using a simple technology in which a balloon will be used to determine the vacant parking spaces. Since this technology is cost efficient and effective,this system is termed as smart parking system.</p>

scholarly journals D-PARK: User-Centric Smart Parking System over BLE-Beacon Based Internet of Things

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 541
Author(s):  
Soochang Park
Keyword(s):  
Daily Life ◽  
Learning Technologies ◽  
Smart Device ◽  
Parking Spot ◽  
Parking Lot ◽  
Big Data Technologies ◽  
Position Data ◽  
Parking Space Detection ◽  
Smart Parking ◽  
Smart Mobile

Our daily life services are quickly becoming smarter with intelligence and information through artificial intelligence (AI) and Big Data technologies. Parking services are one of the most frequently used in our daily life-cycle. This parking application could be classified into several features according to demands and properties, such as parking capacity balancing on a city-level view, parking fee maximization for achieving the service provider demand, empty parking spot notification within a parking lot, etc. This paper concentrates on parking space detection and alert to users. Most smart services rely on smart mobile derives of users such as smartphones and smartwatches. The proposed novel mechanism for smart parking is based on a smart device to gather mobile sensing data such as users’ activity and position data. Acquired mobile data are analyzed via machine learning technologies to provide dedicated parking services per user. Based on real testbed setups on campus and the proof-of-concept implementation, the proposed localization can achieve accuracy of a parking spot scale (2m-second guess 95%); moreover, it shows a much lower service operation period of 6.8 times (34s) than the legacy approach (230s).

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