• 디지털산업정보학회논문지
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• 제5권3호
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• pp.1-8
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• 2009

There are several ways to solve parking problem in the downtown. One of them is to manage parking efficiently, that is, to raise use-efficiency of parking place and to help in the block efficiently, it can prevent disproportion that some parking space is over capacity and the other parking one is under. It causes not only the disproportion of economic efficiency but also the congestion of local road. The precondition to manage parking efficiently is to analyse the parking characteristics. In this paper we build up total D/B by collecting every information about parking space. We developed the Parking Management System by using RFID and Sensor. The efficient Parking Management System is for convenience of drivers and efficient usage of parking space. And this system is also the basic study to be developed as the total Parking Management System by upgrading every information.

• 한국산업융합학회 논문집
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• 제7권3호
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• pp.273-279
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• 2004

There are several ways to solve parking problem in the downtown One of them is to manage parking efficiently, that is, to raise use-efficiency of parking place and to help drivers to select easily. When we manage the parking place m the block efficiently, It can prevent disproportion that some parking space is over capacity and the other parking one is under. It causes not only the disproportion of economic efficiency but also the congestion of local road. The precondition to manage parking efficiently is to analyse the parking characteristics. In this study we found out the characteristics of parking vehicles by analyzing the turnover per parking mesh and occupancy rate And we build up total D/B by collecting every information about parking space. We developed the Parking Management System by using GIS with D/B and digital map. The efficient Parking Management System is for convenience of drivers and efficient usage of parking space. And this system is also the basic study to be developed as the total Parking Management System by upgrading every information.

• 한국컴퓨터정보학회논문지
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• 제15권1호
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• pp.51-59
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• 2010

아파트단지, 대형 빌딩, 마트 또는 백화점에는 많은 차량을 수용할 수 있는 실내 주차장이 구비되어 있으나, 운전자는 혼잡한 주차장에서 빈 주차구역을 찾기 위해 상당한 시간을 낭비하고 있다. 본 연구에서는 운전자가 혼잡한 주차장에서 현황모니터를 통해 빈 주차공간을 찾기 위해 배회하는 시간을 줄이고, 주차된 차량의 위치를 찾기 쉽도록 SMS(Short Message Service)를제공하는마이크로프로세서기반의실내주차정보제공시스템을제안한다. 제안시스템은 차량 출입 검출용 RFID(Radio-Frequency IDentification) 시스템, 주차면의 차량유무 관련 정보처리 및 서버와의 통신 등의 기능을 갖춘 마이크로프로세서 시스템, 진출입 차량의 정보처리와 운전자에게 빈 주차공간 및 주차정보를 안내하는 서버 시스템으로 구성하였다. 수작업으로 제작한 8대 규모의 모형주차장에 제안 시스템을 구현하였으며, 주차 현황 모니터와 유료 문자메시지 서비스로 운전자에게 정보를 제공함으로써 실용성을 확인하였다.

• Journal of Information Processing Systems
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• 제15권6호
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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.

• 대한교통학회지
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• 제9권2호
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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.

• 한국통신학회논문지
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• 제35권6B호
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• pp.940-947
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• 2010

U-City에서 u-교통의 주차 정보 서비스 제공을 위해 주차 유도 및 정보 시스템을 개발하였다. 주차 유도 및 정보 시스템은 차량이 출발 전부터 최종 목적지 주차장에 도착할 때까지 운전자에게 주차장 정보, 주차 현황 정보와 최소 이동 경로를 실시간으로 제공하는 서비스로, 운전자의 주차 시간을 최소화하여 이용자 편익 증대, 교통 혼잡 완화 및 불법 주차의 감소, 주차장 관리의 효율성 극대화를 목적으로 한다. 본 고에서는 주차 유도 및 정보 서비스 시스템에 대한 고객 니즈 조사 분석 결과, 설계 및 시스템 구현 내용에 대해 서술하였으며, 또한 실제 주차장에 시스템을 구축하여 설치 전후의 주차 소요 시간, 차량 회전율을 비교 분석하였다.

• 한국정보시스템학회지:정보시스템연구
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• 제29권2호
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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.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.565-568
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• 2016

최근 차량이 늘어남에 따라 불법주차가 많아지고 있다. 특히 거주자 우선 주차제를 이용하는 사람들의 경우 불법 주차 때문에 곤란을 겪는다. 대표적인 예로 불법주차로 인해 우선 주차제를 이용하는 거주자들은 지출 비용 등에서 피해를 입으며 법적 소송과 같은 다양한 사회적 문제가 야기된다. 본 논문에서는 차량 위치 정보를 주차 시스템에서 활용할 수 있도록 해당 시스템을 위한 아두이노 설계 및 위치 정보 업로드에 관한 내용을 다룬다.

• 디지털산업정보학회논문지
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• 제15권3호
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• pp.79-87
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• 2019

The system proposed in this paper is a fully automated parking control system that can even protect users' information through blockchain. Unlike conventional parking control systems, the system consists of a web page that is accessible to people of all ages and ages, directly to the parking lot. Such a system would also benefit managers in the parking lot business. This is because it can reduce soaring labor costs and maximize the sales it can generate by operating 24 hours a day. In order to implement these systems, the web page was first designed using HTML and the API was configured using JAX-RS to invoke the API required by the web page. As a result, it created a web page that was easily accessible to anyone, built a server that could be accessed by more than 200 people at the same time, focused on personal information protection by encrypting the information of users through blockchain grafts, and designed a system that enabled users to complete payments easily. It is planning to add QR codes and GPS functions in the future and implement a function that allows one-touch information on parking lots and their vehicle information.

• 로봇학회논문지
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• 제14권3호
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• pp.170-178
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• 2019

This paper proposes a parking space detection method for autonomous parking by using the Around View Monitor (AVM) image and Light Detection and Ranging (LIDAR) sensor fusion. This method consists of removing obstacles except for the parking line, detecting the parking line, and template matching method to detect the parking space location information in the parking lot. In order to remove the obstacles, we correct and converge LIDAR information considering the distortion phenomenon in AVM image. Based on the assumption that the obstacles are removed, the line filter that reflects the thickness of the parking line and the improved radon transformation are applied to detect the parking line clearly. The parking space location information is detected by applying template matching with the modified parking space template and the detected parking lines are used to return location information of parking space. Finally, we propose a novel parking space detection system that returns relative distance and relative angle from the current vehicle to the parking space.