scholarly journals Design and Implementation of the Optimization Algorithm in the Layout of Parking Lot Guidance

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Zhendong Liu ◽  
Dongyan Li ◽  
Yurong Yang ◽  
Xi Chen ◽  
Xinrong Lv ◽  
...  

The information guidance system for parking spaces in large- and medium-sized parking lots is not efficient at present. It tends to be difficult to find an empty parking space in parking lots in big cities. One of the problems is the large amount of calculation in the traditional Dijkstra algorithm. In this paper, an improved Dijkstra algorithm is presented and optimized to find the best parking path with the purpose of looking for the nearest free parking space based on the layout model in parking lot parking guidance. The experiments show that the improved Dijkstra algorithm can find the optimal parking space and the optimal parking path and improve the parking efficiency.

2021 ◽  
Vol 284 ◽  
pp. 06012
Author(s):  
Natalia Knyazeva ◽  
Anastasia Kolosova

With the growing car population in big cities, the problem of its keeping in conditions of a compact urban area has happened. The organisation of parking space in a different way has resolved this issue. Underground parking was in demand in many countries even in the XX century. By the way, they are becoming more and more popular now. The design of car parking is based on legal documents, which regulate the size of car parking seats and the width of the passage inside the garage. It is expedient to use evolutionary algorithms as one of the tools of algorithmic modelling for automation of design the car parking lots and for identifying the most effective and profitable way of the car parking space planning. So, the process of looking for the most optimal solution in underground car parking designing.


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.


2014 ◽  
Vol 602-605 ◽  
pp. 887-890
Author(s):  
Li Ping Cheng ◽  
Bo Yan ◽  
Yong Hai Tan

Most parking guidance system is not perfect, in an unknown and complex parking lot, the most urgent problem to the driver is how to find a parking space and find his car from the parking space quickly. In order to solve this problem, in virtue of the improved layered A* algorithm, system fast calculates the optimal path information which is from the entrance to each parking space and from each parking space to the export. Compared with using A* algorithm directly, the calculation time is shorten, the number of traversal nodes is reduced. At the same time, it adopts the integration design idea in the design of hardware and software, and uses international popular CAN to complete the design of network nodes in the parking guidance system, in which the monitoring interface is designed, the parking space information and gateway vehicle information are collected, the optimal path information are displayed. As integration design method was adopted, the design contents are simplified, the development hours are shortened, and the CAN intelligent nodes have a good extendibility and portability. This is the foundation for the expansion of parking lot In the future.


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):  
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.


Author(s):  
I.B Alit Swamardika ◽  
Ida Ayu Sri Adnyani

The development of private vehicle ownership is very rapid, but it is not balanced by adequate supporting infrastructure such as roads and parking lots. Especially for parking lots, parking horizontally will be difficult to develop because of the limited land availability. The addition of parking lots can be done vertically by building a multi-storey parking building. So far, the existence of multi-storey parking buildings has not provided an information system on the availability of parking spaces. The form of multi-storey parking lots often makes the driver have to go around few times to find an empty space. This situations wasting of energy and time. This study aims to design an information system as application models in human-computer interaction, that will inform someone there is empty or already filled parking space, so that it can save time and make it easier for drivers to find parking spaces to park their cars. This information system prototype design consists of three main parts, called sensors, controllers, and displays. Car parking control system that works with an automatic portal (parking gate) along with a display screen for information on the location of empty parking spaces and those that have been filled. The portal will open if information states the parking lot is still available, and the portal will not open if information states the parking lot is full.


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.


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.


2017 ◽  
Vol 9 (7) ◽  
pp. 168781401771241 ◽  
Author(s):  
Yan Han ◽  
Jiawen Shan ◽  
Meng Wang ◽  
Guang Yang

The congestion causes of parking lot were analyzed with causal chain method and a questionnaire about individual demand of parking users was carried out. The results show that more than 90% of the users hope parking spaces can be automatically assigned to them when it’s difficult to find a parking space. The layout principles of WiFi in parking lot were provided. The automatic assignment mechanism of parking lot was given considering the individual demand of parking users and the avoidance of traffic conflicts. Some attribute decision factors such as lane occupancy conditions, travel distance, walking distance, and the occupancy situation of parking space on both sides were selected and optimal parking lot assignment model was established. Optimal paths were calculated through Dijkstra algorithm, and the information about the assignment location and path was sent to the drivers’ cell phones. The driver’s compliance was evaluated by comparing the driver’s parking trajectory with system recommended path. Finally, a large parking lot in Beijing was taken as an example. The results can offer constructive suggestions on parking route design and parking assignment mechanism, which can make the use of the limited parking resources more effectively.


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