• Industrial Engineering and Management Systems
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• v.7 no.2
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• pp.182-188
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• 2008

Automated parking systems, which automatically park and retrieve vehicles, have been steadily replacing conventional parking systems. The spiral parking system is a type of automated parking systems that has cylindrical parking tower. We develop an economic design model of spiral parking system based on a recursive optimization and simulation procedure in which the dynamic nature of the parking system can be integrated into the mathematical programming model. The optimal values of design parameters are found that gives the minimum total cost while complying with the desired performance of the system.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.219-222
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• 2008

Recently, parking problems for an autonomous vehicle have attracted a great deal of attention and have been examined in many papers in the literature. In this paper we design a fuzzy logic based parking system at the slant parking space which is a important part for designing a autonomous parking system. We first design an optimal parking path for the slant space and present the simulation results of the fuzzy logic based parking system.

• Journal of Information Processing Systems
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• v.15 no.6
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• pp.1335-1349
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• 2019

Crowdsensing technologies can improve the efficiency of smart parking system in comparison with present sensor based smart parking system because of low install price and no restriction caused by sensor installation. A lot of sensing data is necessary to predict parking lot saturation in real-time. However in real world, it is hard to reach the required number of sensing data. In this paper, we model a saturation predication combining a time-based prediction model and a sensing data-based prediction model. The time-based model predicts saturation in aspects of parking lot location and time. The sensing data-based model predicts the degree of saturation of the parking lot with high accuracy based on the degree of saturation predicted from the first model, the saturation information in the sensing data, and the number of parking spaces in the sensing data. We perform prediction model learning with real sensing data gathered from a specific parking lot. We also evaluate the performance of the predictive model and show its efficiency and feasibility.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.1
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• pp.69-75
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• 2020

This paper introduces the parking guide service developed to address the inconvenience of parking in areas where demand for parking spaces is high, such as busy streets and tourist attractions. Due to difficulties in measuring and developing the actual parking lot while driving the car, we created a temporary parking lot and created Arduino RC Car to replace the actual car. Video processing based on Open CV allows users to identify the entire parking lot, parking space, and completed parking space, and track moving cars, and this information has been developed to enable users to see through the application. The application allows the user to book the desired parking space and introduce a way-finding algorithm to guide them through the optimal path to the selected parking compartment.

• Journal of Korean Society of Transportation
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• v.9 no.2
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• pp.135-144
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• 1991

In recent years parking problems have been rapidly highlighted. Particularly on-street parking has become a very serious problem so an immediate action needs to be taken to resolve this problem. On-steet parking is attributable not only to insufficient capacity of parking lots but also to the facts that must of the parking lots are far away from the destinations to which drivers intend to go and that their locations are unclear. The effect of on-street parking is so great as to cause road traffic problems such as traffic jam and danger to road safety as well as to lead to obstructing business activities resulting in a decline of commercial areas. Therefore on-street parking is an important problem for a city as a whole. In this paper I have investigated a parking lot information and guiding system as one of the techniques to resolve the on-street parking problem and have clarified the effect of introducing this system and necessary conditions for implementing an optimum information and guiding system. Moreover I have pointed out the problems to be encountered in imp-lementing such system in areas not equipped with infrastructures taking into account the road conditions in these areas and have stated that it would be necessary to develop a new idea of information and guiding system in order to overcome these problems. I have suggested a Shot Gun Method as a proposal and have discussed extensibility of this method in the future.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.4
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• pp.29-36
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• 2019

We propose a smart parking space guiding system based on user preferences in a parking lot. This system guides each vehicle to the most suitable parking space in a parking lot to meet the user preferences such as the available parking spaces in the parking zones and the proximity to the destination by exploiting the traffic to each parking zone gathered at the sensors near each guiding display. For this purpose, this paper proposes the cost function for the optimal route guide based on the various user preferences. In addition, the paper reports the design and implementation results of an event based simulator to show the feasibility of the smart parking guidance system.

• Journal of Korean Society of Transportation
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• v.19 no.3
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• pp.19-32
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• 2001

A parking facility choice model. which can be applied to analyze of the driver's parking behavioral changes in response to the local government's parking policy changes and to predict parking demand by the facility types, is developed. Under the context of the stated preference discrete choice model, socioeconomic variables and parking alternative characteristic variables are introduced as explanatory variables. A parking facility choice model for the shopping trip purpose is derived using multinomial logit model and nested logit model and the stated preference data collected in Taegu metropolitan area. The result shows that the sign of all the estimated parameters are logically consistent and the model's goodness of fit is reasonably good. As a result of the elasticity analysis of the model, the elasticity of parking cost is highest, and the elasticity of walking distance between parking place and the destination is higher than parking place searching and ingress time. This means that the parking places are supplied around the destination in the form of small-size parking place. The findings in this study is expected to provide a fundamental data for various short-term parking policy analyses and for parking facility's demand estimations.

• Korean Institute of Interior Design Journal
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• v.20 no.5
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• pp.135-142
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• 2011

This study applies the 'interface' as the concept to interpret the facade design of parking garages. This study investigates the characteristics of interface design in the parking garages to improve design qualities of parking garages as a daily living space as well as a public space in today's city. The facade of parking garage is an interface between the urban streets and the parking space. Three concepts of interface and design in parking garage are defined. The concept of interface is explained as a boundary surface which activates communication and interaction. In facade design of parking garage, three main concepts of interface design are screen, communication and mobility. Through the investigation of the examples, this study summarizes the characteristics of the facade design of parking garage as follow; first, the facade of parking garage is designed as a screen which represents immateriality by specially selected and arranged surface materials. The screen facade is designed as one homogeneous surface as well as an irregular pattern with operable louvers. Second, the facade of parking garage is designed as a communication media to deliver direct information. The representation of natural or artificial characteristics at the local areas is to communicate with the people in the community. Third, the facade of parking garage is represented mobility which a car symbolizes. It emphasizes various movements and visual changes by movements. People can experience the visual changes of the building facade as they walk or drive. The visual changes of the facade are caused by natural elements such as wind and light as well as an optical illusion.

• International Journal of Highway Engineering
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• v.12 no.2
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• pp.129-136
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• 2010

The present annexed parking lot standards for buildings in Parking Act are categorized in 9 groups in terms of recreation, culture and assembly, housing, factory, and so on, in which same grouped facilities have uniform parking standards. The local governments have authority to itemize groups and adjust parking standards within ${\pm}50%$ ranges. These days diversity in building types and functions need more fractionated parking standards; however, most local governments focusing merely on applying strengthened parking standards in general without systematic rules of consistency. The current problem of parking standards being used is lack of regarding facility characteristics; expecially, a large sized high-tech manufacturing facility located in industrial site is still applied by same parking standards as normal manufacturing facility, even though most part of manufacturing process is automated and hence less manpower is employed. This paper presents a systematic method of analyzing parking generation unit for factory facilities in industrial site in terms of facility use and scale characteristics.

• The Journal of Information Systems
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• v.29 no.2
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• pp.131-147
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• 2020

Purpose The purpose of this study is to develop intelligent vehicle parking distribution system based on LoRa network at the circumstance of traffic congestion during cultural festival in a local city. This paper proposes a parking dispatch and distribution system using a Q-learning algorithm to rapidly disperse traffics that increases suddenly because of in-bound traffics from the outside of a city in the real-time base as well as to increase parking probability in a parking lot which is widely located in a city. Design/methodology/approach The system get information on realtime-base from the sensor network of IoT (LoRa network). It will contribute to solve the sudden increase in traffic and parking bottlenecks during local cultural festival. We applied the simulation system with Queuing model to the Yudeung Festival in Jinju, Korea. We proposed a Q-learning algorithm that could change the learning policy by setting the acceptability value of each parking lot as a threshold from the Jinju highway IC (Interchange) to the 7 parking lots. LoRa Network platform supports to browse parking resource information to each vehicle in realtime. The system updates Q-table periodically using Q-learning algorithm as soon as get information from parking lots. The Queuing Theory with Poisson arrival distribution is used to get probability distribution function. The Dijkstra algorithm is used to find the shortest distance. Findings This paper suggest a simulation test to verify the efficiency of Q-learning algorithm at the circumstance of high traffic jam in a city during local festival. As a result of the simulation, the proposed algorithm performed well even when each parking lot was somewhat saturated. When an intelligent learning system such as an O-learning algorithm is applied, it is possible to more effectively distribute the vehicle to a lot with a high parking probability when the vehicle inflow from the outside rapidly increases at a specific time, such as a local city cultural festival.