scholarly journals Android Based Car Parking System

2021 ◽  
pp. 523-525
Author(s):  
Prof. Langote ◽  
Lonkar Prathmesh ◽  
Arfat Bagwan ◽  
Rushikesh Vayandeshkar
Keyword(s):  
Air Pollution ◽  
Population Growth ◽  
Programming Languages ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Main Motivation ◽  
Parking System ◽  
Smart Parking

In this work, we mainly focus on designing a new smart parking system that assists drivers to find parking spaces in a specific parking district. In addition, one of the important aims is to control the traffic created while searching space for parking, this will reduce the air pollution as well as energy consummations. The main motivation for developing this project is to reduce the traffic congestion which occurs in the urban areas, which is due to the vehicles searching for parking. The increase in city traffic is one of the major effects of population growth especially in urban areas. Due to this searching for a vacant parking area during peak hour is not only time-consuming but also result in wastage of fuel. Moreover, I value recent learning about the Android Programming languages as well as seeing how powerful and dynamic they are when it comes to Application designing.

scholarly journals Smart Parking System using IOT

2020 ◽  
Author(s):  
Waleed Zahir Al Qaidhi ◽  
Muhammad Sohail
Keyword(s):  
Information And Communication Technologies ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Communication Technologies ◽  
Research Paper ◽  
Harmful Emissions ◽  
Parking System ◽  
Car Park ◽  
Information And Communication ◽  
Smart Parking

   With the development of road infrastructure, there is a significant increase in number of private vehicles which results in traffic congestion, directly effecting the flow of traffic, and life of citizens. Parking becomes a significant problem in the urban areas (Cao & Menendez, 2015). The research paper proposes a smart parking system to solve the current parking problem at affordable cost. Previously automatic car parking system were proposed to reduce the space or size required for parking especially in crowded places with few spaces, such as a multi-story car park providing cars with parking on multiple levels stacked vertically to increase the number of parking spaces (Ibrahim, 2017). The proposed system utilizes the latest advancement in the Information and Communication Technologies and consists of  four layers: Application, Middleware, Networking, and sensor layer. It offers environmental friendly, reduces harmful emissions during parking, and is a computerized system pre-programmed without human intervention. The research paper highlights the comparison of traditional parking system with smart parking system using IoT. The paper also proposes a framework for smart parking system.

scholarly journals Smart Vehicle Parking Monitoring System using RFID

2019 ◽  
Vol 8 (9S) ◽  
pp. 225-229
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Electronic Device ◽  
Smart Cities ◽  
Rfid Tags ◽  
Parking Space ◽  
Parking System ◽  
Parking Management ◽  
Smart Parking ◽  
Smart Vehicle

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.

scholarly journals A Research on Smart Car Parking System using IOT

2021 ◽  
Vol 9 (VII) ◽  
pp. 1109-1113
Author(s):  
Ashvini Uke
Keyword(s):  
Urban Areas ◽  
Software Package ◽  
The Internet ◽  
Use Case ◽  
Custom Made ◽  
Parking System ◽  
Smart Parking ◽  
The Internet Of Things ◽  
Information Today

The internet of things plays an important role of connecting numerous physical devices and automating them to create human’s life easier. By exploitation sensors, actuators and numerous software package therefore we are able to connect objects and transfer information. Today government has created priority to create cities good across the country. To create a town good, we've to try and do numerous things that may be developed exploitation net of things and good parking is one in all them. With the event of road infrastructure, there's a big increase in variety of personal vehicles which ends in hold up, directly effecting the flow of traffic, and lifetime of voters. Parking becomes a big downside within the urban areas. The analysis paper proposes a wise parking system to unravel the present parking downside at reasonable value. The projected smart Parking system consists of associate on-the-scene preparation of associate IOT module that’s custom-made monitor and signalizes the state of convenience of each single automobile car parking zone. A mobile page is to boot providing permits associate user to see the availability of automobile car parking zone and book a parking slot consequently. Towards the tip, the complete projected system shows the operative of the system in kind of a use case that proves the correctness of the projected model.

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.

scholarly journals Smart Parking System Using Color QR Code

2019 ◽  
Vol 1 (1) ◽  
pp. 39-45
Author(s):  
Sarat Kumar Sahoo ◽  
Rashmita Khilar ◽  
Samiksha Nayak ◽  
Mary Rexcy Asha ◽  
Ann Jerin Amalorpavaraj
Keyword(s):  
Image Segmentation ◽  
Data Base ◽  
Traffic Congestion ◽  
New Method ◽  
Identification System ◽  
Qr Code ◽  
Alarm System ◽  
Parking System ◽  
Smart Parking

In today’s world, parking area constitutes nearly most of traffic congestion is caused by vehicles cruising around their destination and looking for a place to park. Due to this reason many day-to-day activities are affected such as waste of time, fuel wastage, frustration to drivers, theft fear, pollution etc. These factors motivated to pave a new method for smart parking system. In this method the detection is reliable, even when tests are performed using images captured from a different viewpoint. It also provides to design a highly reliable & compatible image segmentation measures for parking slot identification system and a user key driven data base measures to detect the vehicle using theft alarm system.

scholarly journals Real-time Location Based Shared Smart Parking System

2020 ◽  
Vol 170 ◽  
pp. 03003
Author(s):  
Pragati Kanchan ◽  
Chhaya Mhaske ◽  
Reena Pagare ◽  
NikhilKumar B. Shardoor
Keyword(s):  
Traffic Congestion ◽  
Qr Code ◽  
Rfid Technology ◽  
Carbon Footprints ◽  
The Public ◽  
Ir Sensors ◽  
Parking System ◽  
Private And Public ◽  
Smart Parking ◽  
Per Capita

With the growth in population, traffic congestion and parking have become a serious problem. There is the explosive growth of the per capita amount of vehicles. In this paper, a Location-Based Shared Smart Parking System is proposed to solve the parking problem. This system is designed for both private and public parking areas. This system helps the user to find the nearest possible parking area and gives the information related to the availability of parking slots in that respective parking area. The main focus of this system is to reduce the time for finding the parking slot and also avoids unnecessary travelling through occupied parking slots in a parking area. The proposed system is designed using IoT technology, WSN(IR sensors), QR code and RFID technology. IR sensors are used to detect the presence of the car in the parking slot and QR code is used to authenticate the user in the public parking area, RFID technology is used to authenticate the user in private parking area. The system is expected to reduce traffic problems, fuel consumption which results in reduces carbon footprints in an atmosphere.

scholarly journals Development of Rewarding System for Solving Traffic Congestion in Saudi Arabia

TEM Journal ◽  
2020 ◽  
pp. 951-958
Author(s):  
Fatmah Yousef Assiri
Keyword(s):  
Air Pollution ◽  
Saudi Arabia ◽  
Travel Time ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Recommendation System ◽  
Historical Data ◽  
Traffic Information ◽  
Departure Time

Traffic congestion impacts economics, health, and productivity. Traffic congestion is increasing in the urban areas and negatively impacts people in these areas due to air pollution, accidents, delays in travel time, and more. In Saudi Arabia, more than 500,000 people have died or been injured because of traffic. To improve this problem, we developed a rewarding system that encourages people to drive during off-peak hours. In addition, the system provides recommendations for a preferred departure time in order to avoid traffic congestion. Recommended departure time is based on historical data. This system will be used to create dataset of drivers and traffic information in order to build an intelligent recommendation system

scholarly journals Preliminary Results of Air Pollution Status in Selected Roadsides in Jalingo, Taraba State Nigeria

2021 ◽  
Vol 5 (3) ◽  
pp. 118-123
Author(s):  
Maxwell Obia Kanu ◽  
Terkaa Victor Targema ◽  
Gideon Maumee Abednego
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Ambient Air ◽  
Acceptable Limit ◽  
Pollution Levels ◽  
The Mean ◽  
Carbon Dioxide Co2 ◽  
Mean Concentration

The rapid increase in vehicular activities in the past two centuries contributes vastly to air pollution levels. In as much as Social interactions and economic growth are well enhanced by vehicular transportation in many developing countries, it is unfortunate that exhausts from vehicles contribute immensely to ambient air quality especially in the urban areas. The concentrations of carbon monoxides (CO) and carbon dioxide (CO2) emissions in selected roadsides in Jalingo have been assessed. Four roads were used as sample locations where the concentration of CO2 and CO were measured using an air quality meter for four weeks. The mean concentration of CO2 and CO obtained were respectively as follows: 542.25 ppm and 7.49 ppm for the roadblock, 540.05 ppm and 5.55 ppm for Hammaruwa way, 598.81 ppm and 17.42 ppm for market road, and 463.80 ppm and 1.08 ppm for Nigerian Labour Congress (NLC) road (control). Based on the acceptable limit of CO2 (600 ppm), the Roadblock road, Hammaruwa way, and the NLC/control road are safe. Only the market road had value that exceeded the acceptable limit, and it may be attributed to high vehicular activities on the roadsides. Therefore, more alternative roads should be constructed in other to minimize traffic congestion and also, the use of nose masks should be encouraged. For the CO, all the sites are safe because they fall within the acceptable level of CO (1-70 ppm).

scholarly journals Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4669
Author(s):  
Victor Kathan Sarker ◽  
Tuan Nguyen Gia ◽  
Imed Ben Dhaou ◽  
Tomi Westerlund
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Dynamic Pricing ◽  
Traffic Congestion ◽  
Sensor Nodes ◽  
Multiple Sensors ◽  
Traffic Jams ◽  
Parking System ◽  
Smart Parking ◽  
On The Road

A rapidly growing number of vehicles in recent years cause long traffic jams and difficulty in the management of traffic in cities. One of the most significant reasons for increased traffic jams on the road is random parking in unauthorized and non-permitted places. In addition, managing of available parking places cannot achieve the expected reduction in traffic congestion related problems due to mismanagement, lack of real-time parking guidance to the drivers, and general ignorance. As the number of roads, highways and related resources has not increased significantly, a rising need for a smart, dynamic and effective parking solution is observed. Accordingly, with the use of multiple sensors, appropriate communication network and advanced processing capabilities of edge and cloud computing, a smart parking system can help manage parking effectively and make it easier for the vehicle owners. In this paper, we propose a multi-layer architecture for smart parking system consisting of multi-parametric parking slot sensor nodes, latest long-range low-power wireless communication technology and Edge-Cloud computation. The proposed system enables dynamic management of parking for large areas while providing useful information to the drivers about available parking locations and related services through near real-time monitoring of vehicles. Furthermore, we propose a dynamic pricing algorithm to yield maximum possible revenue for the parking authority and optimum parking slot availability for the drivers.

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