• Title/Summary/Keyword: 대기 행렬 모형

Search Result 116, Processing Time 0.028 seconds

Quantitative Queue Estimation and Improvement of Drive-Through with Queuing (대기행렬을 적용한 승차 구매점의 정량적인 대기열 산정과 개선방안)

  • Lee, SeungWon;Huh, SeungHa;Yoon, KyoungIl;Kim, JaeJun
    • Korean Journal of Construction Engineering and Management
    • /
    • v.24 no.1
    • /
    • pp.21-30
    • /
    • 2023
  • Excessive complaints and traffic jams occurred as customers who visited the Drive-thru waited in a long line. Company S recommends DT Pass to reduce the queues. Therefore, this study confirmed the improvement in performance of the queue increasing the number of stores operated by two servers insteaol of one using a queue model. And then confirmed performance improvement by dividing them into DT and DT Pass. After that, the L value derived through the queue model and the number of queues in each store were compared to calculate the number of queues to be additionally provided. Through this, the validity of selecting the minimum number of queues in the future is verified based on the results derived in this study.

Queue Length Based Real-Time Traffic Signal Control Methodology Using sectional Travel Time Information (구간통행시간 정보 기반의 대기행렬길이를 이용한 실시간 신호제어 모형 개발)

  • Lee, Minhyoung;Kim, Youngchan;Jeong, Youngje
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.13 no.1
    • /
    • pp.1-14
    • /
    • 2014
  • The expansion of the physical road in response to changes in social conditions and policy of the country has reached the limit. In order to alleviate congestion on the existing road to reconsider the effectiveness of this method should be asking. Currently, how to collect traffic information for management of the intersection is limited to point detection systems. Intelligent Transport Systems (ITS) was the traffic information collection system of point detection method such as through video and loop detector in the past. However, intelligent transportation systems of the next generation(C-ITS) has evolved rapidly in real time interval detection system of collecting various systems between the pedestrian, road, and car. Therefore, this study is designed to evaluate the development of an algorithm for queue length based real-time traffic signal control methodology. Four coordinates estimate on time-space diagram using the travel time each individual vehicle collected via the interval detector. Using the coordinate value estimated during the cycle for estimating the velocity of the shock wave the queue is created. Using the queue length is estimated, and determine the signal timing the total queue length is minimized at intersection. Therefore, in this study, it was confirmed that the calculation of the signal timing of the intersection queue is minimized.

An Estimation of Appropriate Standby Space for Mechanical Parking Lot by Prediction of Parking Queue (주차대기행렬 예측을 통한 기계식 주차장 적정 대기규모 산정에 관한 연구)

  • Jin, Tae-Hee;Park, Je-Jin;Park, Jin-Man;Ha, Tae-Jun
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.40 no.3
    • /
    • pp.321-330
    • /
    • 2020
  • The purpose of this study is to present the appropriate standby space for the mechanical parking lot considered parking queue. This analysis is based on the field-study by results of the influential factors on the parking queue of mechanical parking lots in the commercial area of Gwang-ju metropolitan city. In this study, the parking queue was analized through the simple modeling using Vissim based on average service rate and average arrival rate from the result of field-study. As a result of applying the field survey products to the theoretical queue model, no significant result was obtained when the traffic intensity exceeded 1. Therefore, parking queue was analyzed through simple modeling using Vissim, and the model for calculating the proper parking queue size of the mechanical parking lot by size was derived. The model for estimating of an appropriate mechanical parking standby space considering parking queue presented in this study is expected to be a criterion for considering the appropriate parking space of a new building, and also it can be used to minimized the traffic impact due to the parking queue by the lack of standby space.

Path-based Dynamic User Equilibrium Assignment Model using Simulation Loading Method (시뮬레이션 부하기법을 이용한 경로기반 동적통행배정모형의 개발)

  • 김현명;임용택;백승걸
    • Journal of Korean Society of Transportation
    • /
    • v.19 no.3
    • /
    • pp.101-113
    • /
    • 2001
  • Since late 1970s. one of the principal research areas in transportation problem is dynamic traffic assignment (DTA). Although many models have been developed regarding DTA, yet they have some limits of describing real traffic patterns. This reason comes from the fact that DTA model has the time varying constraints such as state equation, flow propagation constraint, first in first out(FIFO) rule and queuing evolution. Thus, DTA model should be designed to satisfy these constraints as well as dynamic route choice condition, dynamic user equilibrium. In this respect, link-based DTA models have difficulty in satisfying such constraints because they have to satisfy the constraints for each link, while path-based DTA models may easily satisfy them. In this paper we develop a path-based DTA model. The model includes point queue theory to describe the queue evolution and simulation loading method for depicting traffic patterns in more detail. From a numerical test, the model shows promising results.

  • PDF

Determination of Minimum Spacing between Off-ramp Terminus and Intersection Considering the Influence of Adjacent Signalized Intersections (신호교차로 영향에 따른 도시고속도로 유출연결로 최소이격거리에 관한 연구)

  • Kim, Sang-Gu;Sim, Dae-Yeong;Heo, Du-Wan
    • Journal of Korean Society of Transportation
    • /
    • v.25 no.4
    • /
    • pp.79-87
    • /
    • 2007
  • The interchanges of urban freeways have many problems with traffic operation due to high off-ramp flows and frequent congestion at adjacent intersections. The flow exiting from off-ramps is affected by the operational status and traffic volume conditions of the nearest signalized intersection. As a result, off-ramp flow cannot exit and the queue backs up the freeway mainline when queues from the signalized intersection form up to the junction of the off-ramp and street. The spacing between an off-ramp and an adjacent intersection is likely to determine the traffic conditions at the adjacent intersection. However, the current design guidelines do not consider such a factor. This study is to develop a model calculating the spacing between off-ramps and adjacent intersections considering the signal, traffic, and road conditions. The variables affecting the model in this study are effective green time (g/C), volume-capacity ratio (v/c), the number of lanes, and off-ramp volume. Various scenarios are designed to represent the effects of the variables and the road networks are constructed using VISSIM, which is a common traffic micro-simulation software package. The queue length is derived from VISSIM and this length is considered as the recommended spacing between the off-ramp and the adjacent intersection. Through the simulation analysis, regression models are developed to calculate the queue length reflecting the various conditions such as signals, traffic, and road configurations. The developed model can be used to create road design guidelines to determine the location of off-ramps in the planning stage.

Predicting a Queue Length Using a Deep Learning Model at Signalized Intersections (딥러닝 모형을 이용한 신호교차로 대기행렬길이 예측)

  • Na, Da-Hyuk;Lee, Sang-Soo;Cho, Keun-Min;Kim, Ho-Yeon
    • The Journal of The Korea Institute of Intelligent Transport Systems
    • /
    • v.20 no.6
    • /
    • pp.26-36
    • /
    • 2021
  • In this study, a deep learning model for predicting the queue length was developed using the information collected from the image detector. Then, a multiple regression analysis model, a statistical technique, was derived and compared using two indices of mean absolute error(MAE) and root mean square error(RMSE). From the results of multiple regression analysis, time, day of the week, occupancy, and bus traffic were found to be statistically significant variables. Occupancy showed the most strong impact on the queue length among the variables. For the optimal deep learning model, 4 hidden layers and 6 lookback were determined, and MAE and RMSE were 6.34 and 8.99. As a result of evaluating the two models, the MAE of the multiple regression model and the deep learning model were 13.65 and 6.44, respectively, and the RMSE were 19.10 and 9.11, respectively. The deep learning model reduced the MAE by 52.8% and the RMSE by 52.3% compared to the multiple regression model.

An Optimal Pricing Strategy in An M/M/1 Queueing System Based on Customer's Sojourn Time-Dependent Reward Level (고객의 체류시간의존 보상에 기반한 M/M/1 대기행렬 시스템에서의 최적 가격책정 전략)

  • Lee, Doo Ho
    • The Journal of the Korea Contents Association
    • /
    • v.16 no.7
    • /
    • pp.146-153
    • /
    • 2016
  • This work studies the equilibrium behavior of customers and optimal pricing strategies of the sever in a continuous-time M/M/1 queueing system. In this work, we consider two pricing models. The first one is called the ex-ante payment scheme where the server charges a flat price for all services, and the second one is called the ex-post payment scheme where the server charges a price that is proportional to the time a customer spends in the system. In each pricing model, the departing customer receives the reward that is inversely proportional to his/her sojourn time. The server should make the optimal pricing decisions in order to maximize its expected profit per unit time in each payment scheme. This work also investigates customer's equilibrium joining or balking behaviors under server's optimal pricing strategies. Numerical experiments are conducted to help the server best select one between two pricing models.

Analysis of a Phased Arrivals Queueing Model with Applications to Telecommunication Network Traffic Control (통신망에서 트래픽 제어를 고려한 단계 도착 대기행렬모형 분석)

  • Park, Ji-Young;Kim, Ji-Seung;Kim, Che-Soong
    • Journal of the Korea Safety Management & Science
    • /
    • v.9 no.5
    • /
    • pp.57-66
    • /
    • 2007
  • 본 논문에서는 통신망의 트래픽 제어를 위한 무한버퍼, 단일 서버와 배치도착과정을 갖는 대기행렬 모형을 고려하였다. 또한 고객 도착 형태와 서비스의 분포는 지수분포를 배치 흐름은 포아송 정상과정 및 배치크기는 기하분포를 따른다고 가정하였다. 서비스를 받기 위해 시스템으로 들어오는 배치의 크기는 시스템의 상태에 따라서 트래픽 제어가 가능하다. 이와 같은 조건에서 시스템에 있는 고객의 수와 배치크기에 대한 결합 확률분포를 분석하였고, 행렬기법을 적용하여 시스템 체재시간에 대한 분석이 수행되었다. 마지막으로 시스템의 주요 성능평가 척도에 대한 효율적인 제어기법에 대한 언급과 수치예제를 통해서 증명하였다.

A Queueing Model for Performance Analysis of SPAX Inter-Node Communication System (고속병렬컴퓨터1)(SPAX) 노드간 통신시스템의 성능분석을 위한 대기행렬모형)

  • Cho, Il-Yeon;Lee, Jae-Kyung;Kim, Hae-Jin
    • The Transactions of the Korea Information Processing Society
    • /
    • v.5 no.1
    • /
    • pp.33-39
    • /
    • 1998
  • A queueing model for performance evaluation of finite buffered inter-node communication system is proposed in this paper. Each components are modeled as M/M/I/B queues to obtain the steady state probabilities and ar-rival rate and to analyze finite buffer behavior, The overall sysrem is integrated as series queues with blocking. Average delay and throughput are the performance measures studied in this analysis. The analytical results are first validated through simulation. Next, the effect of buffer length is discussed using the proposed model.

  • PDF