scholarly journals A Routing Algorithm Based on Zigbee Technology

2018 ◽  
Vol 14 (11) ◽  
pp. 90 ◽  
Author(s):  
Xieji Gang

To realize the exploration of A routing algorithm for ZigBee technology, a kind of intelligent parking system based on ZigBee wireless sensor network is designed, and the parking space is managed by online and offline interaction. First of all, the status of parking at home and abroad is studied, and the demand for parking is analyzed. Secondly, the intelligent scheme of parking system is studied, including parking guidance technology and parking space intelligent recommendation technology. The former is based on the A routing algorithm to search the shortest path, and uses Unity for route planning simulation, and the latter is based on collaboration filtering algorithm to discuss the recommendation method of similar parking spaces. The result shows that the prototype of an intelligent parking system based on ZigBee is eventually realized, and the functions of online viewing, online parking reservation, online path planning and parking guidance are realized. As a result, the purpose of managing offline parking spaces through online is achieved, the utilization rate of resources in the existing parking lot is improved and the use rate of parking space is promoted. At last, it effectively alleviates the urban parking chaos and has certain application value.

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2793-2798 ◽  

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.


Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1476 ◽  
Author(s):  
Luis F. Luque-Vega ◽  
David A. Michel-Torres ◽  
Emmanuel Lopez-Neri ◽  
Miriam A. Carlos-Mancilla ◽  
Luis E. González-Jiménez

Humanity is currently experiencing one of the short periods of transition thanks to novel sensing solutions for smart cities that bring the future to today. Overpopulation of cities demands the development of solid strategic plannings that uses infrastructure, innovation, and technology to adapt to rapid changes. To improve mobility in cities with a larger and larger vehicle fleet, a novel sensing solution that is the cornerstone of a smart parking system, the smart vehicular presence sensor (SPIN-V, in its Spanish abbreviation), is presented. The SPIN-V is composed of a small single-board computer, distance sensor, camera, LED indicator, buzzer, and battery and devoted to obtain the status of a parking space. This smart mobility project involves three main elements, namely the SPIN-V, a mobile application, and a monitoring center, working together to monitor, control, process, and display the parking space information in real-time to the drivers. In addition, the design and implementation of the three elements of the complete architecture are presented.


2012 ◽  
Vol 195-196 ◽  
pp. 889-894 ◽  
Author(s):  
Mei Yan Zhang ◽  
Li Ping Zhou ◽  
Wen Yu Cai

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.


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.


Author(s):  
Prof . Lalitha N ◽  
Raghu L ◽  
Sanjay M ◽  
Sharath Kumar H ◽  
Yogeshwar Gowda C P

Recently parking has become a serious issue and even worsen, because of the increasing number of automobiles everywhere. In this project we propose an IoT based guidance for user to monitor and book the parking space for the vehicle and for managing and monitoring free parking space, it provides an intelligent solution. It aims at implementing smarter and better parking guidance mechanism which significantly reduces difficulty in conventional parking system. The system can monitor the state of every parking slot by deploying a sensor node on the slot. Accordingly sensor senses the status of parking slot and send status to central node server controller. The Node MCU collect the data from all sensor node and upload to the server where user can check the parking status from anywhere using internet and any browser.


Author(s):  
Dr. M. Samayaraj Murali Kishanlal ◽  
Sherlin J ◽  
Varsha S

The vehicles are parked in parking lots. These parking lots are found in malls, offices etc. These parking slots are marked on the ground with different size based on vehicles. An Automated Parking System transports vehicles from the entrance to a parking space that is available. Prior to this, car owners must make a reservation for specific parking lot. It takes time for new members to register and have parking assigned to them. An automated parking allotting app is created as well as a hardware implementation for this project. The owner of a car parking lot may sign up and build a parking facility in his area by registering the location and installing a Raspberry Pi with camera, which will automatically update the available parking spaces. The user find available parking slots using app and book a special slot for his or her car. A QR code will be generated, and the customer's bill will be generated based on in-time and out-of-time scanning. This method would be able to save time for car owners as well as and the amount of labor needed to complete the process as a result of this. As a result, this project saves time while also automating the process.


2021 ◽  
Vol 17 (3) ◽  
Author(s):  
Aaron Abel ◽  
Suci Aulia ◽  
Dadan Nur Ramadhan ◽  
Sugondo Hadiyoso

An automatic parking system has been proposed to make the car parking process more efficient in terms of time and cost. The absence of information on the position of the parking lot makes the car driver take longer to find it. In multi-story parking lots, officers cannot constantly monitor the available parking conditions directly, so prospective parking users do not know the position of the open parking space. In addition, many parking lots use automatic door latch, but no parking space information display. Parking system automation can be based on hardware, software, or a combination of hardware and software. To the best of our knowledge, no software-based framework is entirely used on this system. Therefore, this study proposes an automatic parking system based on camera sensors and software, which is combined into an information system. The proposed method uses simple morphological operations. Based on the test results, the detection accuracy achieved is 100% with a light intensity of 3 lux, 15 lux, 30 lux, 60 lux, 120 lux, and 250 lux. The average processing time is 1.59 seconds. From this study, it is hoped that this prototype can be tested on relevant environmental conditions so that the prototype can be implemented in parking lots.


2021 ◽  
Vol 3 (1) ◽  
pp. 31-39
Author(s):  
Nur Halima Halima ◽  
Finni Maulidi ◽  
Wilda Awaliatul

In the 21st century, the problem of sustainable development has been used as an important issue that needs to be socialized in the community. in the preparation phase of the action program to regulate parking bags in the new market Gotong Royong Probolinggo City, discussions began from the form of activities, locations, and evaluations. A form of activity that will be carried out by a group of students, which is carried out openly directly on site. The method used in these activities is coordination and communication by plunging directly into the parking lot of The Gotong Royong Market in Probolinggo City with the focus of structuring the parking space in the central Gotong Royong market. With the results of evaluation activities that can be done by students lacking the functioning of parking spaces in the arena gotong royong market and the lack of orderly parking activities in the market, so that it makes the parking arena in the market there are no officers or parking attendants. it is also prone to the loss of vehicles in the market arena. Thus, it can be concluded that parking facilities are used limits to distinguish parking spaces between four wheels and two wheels. This is because the parking system in Gotong Royong market is in accordance with the procedures that have been scheduled and does not cause traffic jams. Keyword : Parking Facilities, Gotong Royong Market, Urban Spatial Planning


2020 ◽  
Vol 12 (12) ◽  
pp. 4864
Author(s):  
Ziyao Zhao ◽  
Yi Zhang ◽  
Yi Zhang ◽  
Kaifeng Ji ◽  
He Qi

In recent years, with the rapid development of China’s automobile industry, the number of vehicles in China has been increasing steadily. Vehicles represent a convenient mode of travel, but the growth rate of the number of urban motor vehicles far exceeds the construction rate of parking facilities. The continuous improvement of parking allocation methods has always been key for ensuring sustainable city management. Thus, developing an efficient and dynamic parking distribution algorithm will be an important breakthrough to alleviate the urban parking shortage problem. However, the existing parking distribution models do not adequately consider the influence of real-time changes in parking demand and supply on parking space assignment. Therefore, this study proposed a method for dynamic parking allocation using parking demand predictions and a predictive control method. A neural-network-based dynamic parking distribution model was developed considering seven influencing factors: driving duration, walking distance, parking fee, traffic congestion, possibility of finding a parking space in the target parking lot and adjacent parking lot, and parking satisfaction degree. Considering whether the parking spaces in the targeted parking lots are shared or not, two allocation modes—sharing mode and non-sharing mode—were proposed and embedded into the model. At the experimental stage, a simulation case and a real-time case were performed to evaluate the developed models. The experimental results show that the dynamic parking distribution model based on neural networks can not only allocate parking spaces in real time but also improve the utilisation rate of different types of parking spaces. The performance score of the dynamic parking distribution model for a time interval of 2–20 min was maintained above 80%. In addition, the distribution performance of the sharing mode was better than that of the non-sharing mode and contributed to a better overall effectiveness. This model can effectively improve the utilisation rate of resources and the uniformity of distribution and can reduce the failure rate of parking; thus, it significantly contributes to more smart and sustainable urban parking management.


2019 ◽  
Vol 9 (23) ◽  
pp. 5016 ◽  
Author(s):  
Yu ◽  
Jiang ◽  
Hua

Based on the Dijkstra algorithm, with the parking parameters in the static state, the shortest route to each parking space of the parking lot without dynamic influence factors can be calculated. In the new technology background of the combination of the V2X environment and driverless technology, the dynamic influence factors, for example, the lanes occupancy situation caused by parking, can be considered to improve the shortest route with the new scheme in this paper. Then the final route that costs the least time to reach each parking space will be calculated. This is very important for the development of the intelligent transportation system in the parking lot environment.


Sign in / Sign up

Export Citation Format

Share Document