scholarly journals A Parking Space Allocation Method to Make a Shared Parking Strategy for Appertaining Parking Lots of Public Buildings

2018 ◽  
Vol 11 (1) ◽  
pp. 120 ◽  
Author(s):  
Yifei Cai ◽  
Jun Chen ◽  
Chu Zhang ◽  
Bin Wang
Keyword(s):  
Parking Space ◽  
Public Buildings ◽  
Nsga Ii ◽  
Parking Lots ◽  
Space Allocation ◽  
Allocation Method ◽  
Parking Lot ◽  
Open Window ◽  
Mnl Model ◽  
Parking Demand

Appertaining parking lots of public buildings provide a large proportion of parking supply in cities. However, these parking lots mainly serve the parking demands of public buildings, leading to a low utilization ratio of parking spaces. It is therefore required to implement a shared parking strategy for these parking lots. In this study, a parking space allocation method (PSAM) at the network level is proposed to allocate the parking demand to a parking lot and then the parking space. The users are divided into M-users (users of the buildings) and P-users (public users). The shared parking strategy is analyzed from the aspects of open window, parking fee, and ratio of reservation spaces. The users are allocated to a parking lot by a multinomial logit(MNL) model. Specifically, it is determined whether they can enter parking lot and which space they are allocated according to the specific rules. After all the users are allocated with a parking space, the rejection number of M-users, occupancy rate, and profits of each parking lot are collected and a NSGA-II (non-dominated sorting genetic algorithm II) algorithm is designed to determine the optimal strategy for each parking lot according to the above. Compared with the results of all-time all-space shared parking strategy, our method shows better performance in balancing the interests of all appertaining parking lots and protecting the interests of M-users while obtaining considerable profits for the parking lots.

Research on Dynamic Parking Space Allocation Model in Closed Parking Lot

2015 ◽  
Vol 734 ◽  
pp. 435-439
Author(s):  
Qing Gang Wang
Keyword(s):  
Optimization Model ◽  
Utilization Efficiency ◽  
Random Allocation ◽  
Parking Space ◽  
Allocation Model ◽  
Space Allocation ◽  
Parking Lot ◽  
On Line ◽  
Reservation System ◽  
Parking Demand

This paper investigated Dynamic Parking Space Allocation Model (DPSAM), which is one of functional modules of On-line Parking Space Reservation System (OPSRS). In the model, the parking spaces were regarded as a two-dimensional parking resource pool of temporal and spatial components. An integer programming formulation was presented with the objective function of minimizing the discontinuous parking resources. The experiment was executed to compare the allocation solutions of optimization model and random allocation with the indicators of parking resource vacancy rate, parking resource sunk rate and parking demand satisfaction rate. The result shows that optimization model can improve the utilization efficiency of parking lot and is valuable for the application of OPSRS.

scholarly journals Automated Parking Space Allocation during Transition with both Human-Operated and Autonomous Vehicles

2021 ◽  
Vol 11 (2) ◽  
pp. 855
Author(s):  
Mingkang Wu ◽  
Haobin Jiang ◽  
Chin-An Tan
Keyword(s):  
Autonomous Vehicles ◽  
Transition Period ◽  
Search Algorithm ◽  
Parking Space ◽  
Key Factors ◽  
Comprehensive Method ◽  
Space Allocation ◽  
Shortest Distance ◽  
Parking Lot ◽  
Ranking Order

As fully automated valet parking systems are being developed, there is a transition period during which both human-operated vehicles (HVs) and autonomous vehicles (AVs) are present in the same parking infrastructure. This paper addresses the problem of allocation of a parking space to an AV without conflicting with the parking space chosen by the driver of a HV. A comprehensive assessment of the key factors that affect the preference and choice of a driver for a parking space is established by the fuzzy comprehensive method. The algorithm then generates a ranking order of the available parking spaces to first predict the driver’s choice of parking space and then allocate a space for the AV. The Floyd algorithm of shortest distance is used to determine the route for the AV to reach its parking space. The proposed allocation and search algorithm is applied to the examples of a parking lot with three designed scenarios. It is shown that parking space can be reasonably allocated for AVs.

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 ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Guidance System ◽  
Parking Space ◽  
Dijkstra Algorithm ◽  
Parking Lots ◽  
Design And Implementation ◽  
Parking Lot ◽  
Big Cities

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.

scholarly journals Parking Availability Indicating Application Using Smart QR Scanning

2021 ◽  
pp. 627-632
Author(s):  
Dr. M. Samayaraj Murali Kishanlal ◽  
Sherlin J ◽  
Varsha S
Keyword(s):  
Hardware Implementation ◽  
Raspberry Pi ◽  
Qr Code ◽  
Parking Space ◽  
New Members ◽  
Parking Lots ◽  
Time Scanning ◽  
Parking System ◽  
Parking Lot

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.

scholarly journals Aplikasi Interaksi Manusia Komputer Pada Pemodelan Sistem Informasi Perparkiran Gedung Bertingkat

2019 ◽  
Vol 5 (1) ◽  
pp. 32
Author(s):  
I.B Alit Swamardika ◽  
Ida Ayu Sri Adnyani
Keyword(s):  
Information System ◽  
Control System ◽  
Human Computer Interaction ◽  
Empty Space ◽  
Parking Space ◽  
Vehicle Ownership ◽  
Parking Lots ◽  
Parking Lot ◽  
System Prototype ◽  
Prototype Design

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.

scholarly journals A prototype of parking space information system based on Image Processing

2021 ◽  
Vol 17 (3) ◽  
Author(s):  
Aaron Abel ◽  
Suci Aulia ◽  
Dadan Nur Ramadhan ◽  
Sugondo Hadiyoso
Keyword(s):  
Information System ◽  
Detection Accuracy ◽  
Morphological Operations ◽  
Parking Space ◽  
Information Display ◽  
Parking Lots ◽  
Parking System ◽  
Parking Lot ◽  
Automatic Parking ◽  
Camera Sensors

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.

scholarly journals Neural-Network-Based Dynamic Distribution Model of Parking Space Under Sharing and Non-Sharing Modes

2020 ◽  
Vol 12 (12) ◽  
pp. 4864
Author(s):  
Ziyao Zhao ◽  
Yi Zhang ◽  
Yi Zhang ◽  
Kaifeng Ji ◽  
He Qi
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Walking Distance ◽  
Distribution Model ◽  
City Management ◽  
Parking Space ◽  
Parking Lot ◽  
Utilisation Rate ◽  
Urban Parking ◽  
Parking Demand

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.

scholarly journals Monitoring Perparkiran Mobil Berbasis Sensor Ultrasonik dan Mikrokontroller ESP8266

2019 ◽  
Vol 6 (2) ◽  
pp. 119
Author(s):  
Dahlia Nur ◽  
Yori Putra Pradana ◽  
Sahbuddin Abdul Kadir
Keyword(s):  
Monitoring System ◽  
Ultrasonic Sensor ◽  
Parking Space ◽  
Passenger Car ◽  
Parking Lots ◽  
Vehicle Owner ◽  
Parking Lot ◽  
Motorized Vehicles ◽  
Central Statistics

— The number of motorized vehicles in Indonesia is increasing rapidly every year. Based on data from the Central Statistics Agency (BPS) in 2017, the number of motorized vehicles with Passenger Car vehicles reached 15,493,068 units. The number has increased compared to 2016 amounted to 14,580,666 units. The increase as the number of motorized vehicles has an impact of the availability of parking lots in a number of locations. Every driver who will park the vehicle wants to get the location / lot of the parking lot as soon as possible. However, the unavailability of parking capacity information in a parking area causes the user to go around first to get an unload parking space, if the parking lot is full, the user even has to go back out because he did not get a parking space. This study designed and built an ESP8266 microcontroller and PING ultrasonic sensor provided information about the availability of parking lots were still unoccupied in this monitoring system. It is hoped can improve the efficiency of parking users who are looking for vacant parking lots and make it easier for parking admins in parking monitoring management. The results showed that the monitoring system that was built could provide information about the availability of empty parking lots and integrated databases to store vehicle owner information based on parking cards. Parking lot information is included on the parking card given to users entering the parking area.

scholarly journals Parking Demand vs Supply: An Optimization-Based Approach at a University Campus

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Navid Nadimi ◽  
Sanaz Afsharipoor ◽  
Amir Mohammadian Amiri
Keyword(s):  
Fuzzy Inference ◽  
Programming Model ◽  
University Campus ◽  
Administrative Positions ◽  
Inference System ◽  
Parking Lots ◽  
Proposed Model ◽  
Parking Lot ◽  
Parking Management ◽  
Parking Demand

Parking management has always been a major concern for universities and other activity centers. Nowadays, many universities are suffering from a lack of campus parking capacity. To tackle this problem, it is necessary to take parking lots assignment into consideration, regarding intercampus users’ needs. These users have different ages, physical characteristics, expectations, and administrative positions that should be considered before any parking assignment. Here, a new method is proposed to optimize parking lots management for those universities where staff (academic and administrative), in contrast to students, are allowed to park inside the campus area. For this purpose, first, the probability of using a specific parking lot by each group is determined. For staff, this is done based on their choices, revealed by the relative frequency of using parking lots. This probability for students can be calculated using a fuzzy inference system model. To develop the model, a survey is conducted to extract students’ preferences, regarding parking spaces assignment inside the campus area. Afterward, an integer linear programming model with the objective function of maximizing parking probability is employed, considering several related constraints. The proposed model is applied to Shahid Bahonar University of Kerman (SBUK), Iran, as the case study. According to the results, it can be concluded that the proposed method can help to reduce wandering time of finding an appropriate parking space for both staff and students. In addition, the proposed application can help increase the satisfaction level of staff and students with regard to parking management.

A Preliminary Study on Saving Parking Lot

2011 ◽  
Vol 368-373 ◽  
pp. 3628-3631
Author(s):  
Jun Liu ◽  
Wei Xian Zhang
Keyword(s):  
Sustainable Development ◽  
Large Area ◽  
The Sustainable Development ◽  
Parking Lots ◽  
Wide Range ◽  
Parking Lot ◽  
Preliminary Study

Along with the development of society and the popularity of private cars, more and more parking lots are to be needed. Consequently, large sized parking lots will be built in many cities. But the traditional parking lots were paved by a large area of concrete. So much concrete will be bound to create heat pollution. Meanwhile, a large area of parking lot occupies mass openspace. The existing parking lots lead to a waste of resources. This paper introduces a new term of saving parking lot and presents some key principles that stem from a wide range of contributions. The newfashioned parking lot may also give rise to the sustainable development.

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