• Title/Summary/Keyword: 통행시간 감소

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Development of Vehicle Queue Length Estimation Model Using Deep Learning (딥러닝을 활용한 차량대기길이 추정모형 개발)

  • Lee, Yong-Ju;Hwang, Jae-Seong;Kim, Soo-Hee;Lee, Choul-Ki
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.2
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    • pp.39-57
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    • 2018
  • The purpose of this study was to construct an artificial intelligence model that learns and estimates the relationship between vehicle queue length and link travel time in urban areas. The vehicle queue length estimation model is modeled by three models. First of all, classify whether vehicle queue is a link overflow and estimate the vehicle queue length in the link overflow and non-overflow situations. Deep learning model is implemented as Tensorflow. All models are based DNN structure, and network structure which shows minimum error after learning and testing is selected by diversifying hidden layer and node number. The accuracy of the vehicle queue link overflow classification model was 98%, and the error of the vehicle queue estimation model in case of non-overflow and overflow situation was less than 15% and less than 5%, respectively. The average error per link was about 12%. Compared with the detecting data-based method, the error was reduced by about 39%.

Development of the Traffic Signal Control Strategy and Signal Controller for Tram (트램 운영을 위한 신호제어 전략 및 신호제어기의 개발)

  • Lee, In-Kyu;Kim, Youngchan;Lee, Joo Il;Oh, Seung Hwoon
    • Journal of Korean Society of Transportation
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    • v.33 no.1
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    • pp.70-80
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    • 2015
  • In recent years, tram has been the focus of a new mode of public transportation that can solve traffic jams and decrease public transit usage and environmental problem. This research is in the works to develop a tram signal controller and signal control strategies, and aim to resolve the problem of what could happen if a tram system was installed in general road. We developed the hierarchical signal control strategies to obtain a minimum tram bandwidth and to minimize vehicle delay, in order to perform a priority control to include passive and active signal priority control strategies. The strategies was produced for S/W and H/W, it is based in standard traffic signal controller. We conducted a micro simulation test to evaluate the hierarchical signal control strategies, which showed that the developed optimization model is effective to prevent a tram's stop in intersection, to reduce a tram's travel time and vehicle's delay.

A Study on the Direct connection Service Effectiveness in Gyeongbu(KTX) (경부선(KTX) 직결운행 도입 효과에 관한 연구)

  • Kim, Ik-Hui;Kim, Yeong-Jin
    • Journal of Korean Society of Transportation
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    • v.25 no.5
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    • pp.91-100
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    • 2007
  • This study suggests direct connection service which has advantage of high-speed operation of KTX and access convenience of general train, and Pre-feasibility studies on the direct connection service. And analyze transportation demand change by the method as follows; It is to analyze the demand change of before and after KTX operation by previous transport data of Gyeongbu line, and calculate the coefficient of utilization using triggering demand by opening the 2nd phase of Gyeongbu line (Dongdaegu${\sim}$Busan). Through Pre-feasibility analysis, reduction $70{\sim}100$ minutes of train travel time and total revenue will increase about $100 thousand per day. Also, there will be environment-friendly effects of decreasing $CO_2$ emissions. But, Direct connection service need to highly cost ; Buying and Operation cost of KTX train. Therefore, we will be get more correct result of Pre-feasibility study on direct connection service, if there are concrete on buying the KTX action plans.

A Study on Real Time Signal Metering Operation at Roundabouts by Considering Queue Clearance Time (대기행렬 소거시간을 고려한 회전교차로 실시간 신호미터링 운영 연구)

  • Lee, Sol;Ahn, Woo-Young;Lee, Seonha;Cho, Han-Seon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.6
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    • pp.133-143
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    • 2018
  • Roundabouts are generally installed at which traffic and pedestrian volume is relatively small intersections, and hence traffic can flow one direction around a circular island without traffic lights. A number of researches for roundabout signal metering have been processing ways to deal with operation efficiency drops in conditions of unusual traffic and pedestrian volume increases. However, there is still a shortcoming exists in previous operation algorithm does not consider the hidden vehicles between yield lines and detectors and queueing vehicles in circular lanes. These queueing vehicles between them can be cleared by introducing the queue clearance time. The purpose of this research is developing a real time signal metering operation algorithm by considering the vehicle queue clearance time. The results of varying queue clearance time application show that there is a substantial average vehicle delay reduction in VISSIM Com-Interface simulation. When the total number of entering vehicle is 3,200~4,800 vehicle/hour with varying queue clearance time application 21~50 seconds gives average delay reduction per vehicle by 16.1~71.7%.

A Study on the Actual Condition and Reduction Plan of Traffic Accidents for the Elderly (노인교통사고 실태 및 감소방안에 관한 연구)

  • Sung, Su-Young;Kim, Sang-Woon
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.437-447
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    • 2020
  • Following the extension of human life expectancy, the number of elderly traffic accidents that have been increasing at a rapid pace since 2018 has also emerged as a social problem. The traffic accident rate among those aged 65 and older is increasing, but traffic safety policies are insufficient. Based on the analysis of traffic accident status for senior citizens and traffic accident for the past five years from 2014, the reduction plan is to be presented in three main aspects. First, the system needs systematic management by strengthening the system of senior citizens' transport policy departments and driver's license for senior citizens in government agencies, such as the United States, Britain and Japan, from an institutional perspective, so that the walking time and crosswalk traffic environment for the vulnerable should be improved from an environmental perspective. In addition, in human terms, the ability to cope with real-time changes in traffic conditions should be enhanced by training transportation safety experts to secure the effectiveness of education for elderly drivers and by strengthening safety education for those with driver's license and expanding experienced traffic safety facilities to enhance the ability of senior citizens to cope with the changing traffic conditions in real time.

A Comparative Study on Four-Legged Roundabout and Five-Legged Roundabout (4지 회전교차로와 5지 회전교차로의 비교 분석)

  • Kim, Dong Nyong;Choi, Dae Kyu;Park, Soon Yong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.2D
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    • pp.209-215
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    • 2011
  • Roundabout has circular traffic island in the intersection center and is kind of intersection where the automobile bypass circular traffic island. In Korea, the provisional Roundabouts Design Guidelines were published in 2004 by MLTM (Ministry of Land, Transport and Maritime Affairs). This guideline did not discussed domestic traffic circumstance. It just only introduced foreign instances and their guidelines. In addition, the recent National Competitiveness roundabouts as part of the green growth has been concentrated on the interest. In this paper, 90 degree of the 4-legged roundabout was compared with 72 degree, 45 degree, and 30 degree 5-legged roundabouts by micro simulation VISSIM. As a result of analysis, average travel time is decreased when the inscribed circle diameter become bigger the roundabout. 5-legged roundabout until 2,000 volume per hour evaluated to be similar effect at 90 degree of 4-legged roundabout.

A study on the imputation solution for missing speed data on UTIS by using adaptive k-NN algorithm (적응형 k-NN 기법을 이용한 UTIS 속도정보 결측값 보정처리에 관한 연구)

  • Kim, Eun-Jeong;Bae, Gwang-Soo;Ahn, Gye-Hyeong;Ki, Yong-Kul;Ahn, Yong-Ju
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.13 no.3
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    • pp.66-77
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    • 2014
  • UTIS(Urban Traffic Information System) directly collects link travel time in urban area by using probe vehicles. Therefore it can estimate more accurate link travel speed compared to other traffic detection systems. However, UTIS includes some missing data caused by the lack of probe vehicles and RSEs on road network, system failures, and other factors. In this study, we suggest a new model, based on k-NN algorithm, for imputing missing data to provide more accurate travel time information. New imputation model is an adaptive k-NN which can flexibly adjust the number of nearest neighbors(NN) depending on the distribution of candidate objects. The evaluation result indicates that the new model successfully imputed missing speed data and significantly reduced the imputation error as compared with other models(ARIMA and etc). We have a plan to use the new imputation model improving traffic information service by applying UTIS Central Traffic Information Center.

Accurate prediction of lane speeds by using neural network

  • Dong hyun Pyun;Changwoo Pyo
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.5
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    • pp.9-15
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    • 2023
  • In this paper, we propose a method predicting the speed of each lane from the link speed using a neural network. We took three measures for configuring learning data to increase prediction accuracy. The first one is to expand the spatial range of the data source by including 14 links connected to the beginning and end points of the link. We also increased the time interval from 07:00 to 22:00 and included the data generation time in the feature data. Finally, we marked weekdays and holidays. Results of experiments showed that the speed error was reduced by 21.9% from 6.4 km/h to 5.0 km/h for straight lane, by 12.9% from 8.5 km/h to 7.4 km/h for right turns, and by 5.7% from 8.7 km/h to 8.2 km/h for left-turns. As a secondary result, we confirmed that the prediction accuracy of each lane was high for city roads when the traffic flow was congested. The feature of the proposed method is that it predicts traffic conditions for each lane improving the accuracy of prediction.

A Study on Image-Based Mobile Robot Driving on Ship Deck (선박 갑판에서 이미지 기반 이동로봇 주행에 관한 연구)

  • Seon-Deok Kim;Kyung-Min Park;Seung-Yeol Wang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.7
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    • pp.1216-1221
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    • 2022
  • Ships tend to be larger to increase the efficiency of cargo transportation. Larger ships lead to increased travel time for ship workers, increased work intensity, and reduced work efficiency. Problems such as increased work intensity are reducing the influx of young people into labor, along with the phenomenon of avoidance of high intensity labor by the younger generation. In addition, the rapid aging of the population and decrease in the young labor force aggravate the labor shortage problem in the maritime industry. To overcome this, the maritime industry has recently introduced technologies such as an intelligent production design platform and a smart production operation management system, and a smart autonomous logistics system in one of these technologies. The smart autonomous logistics system is a technology that delivers various goods using intelligent mobile robots, and enables the robot to drive itself by using sensors such as lidar and camera. Therefore, in this paper, it was checked whether the mobile robot could autonomously drive to the stop sign by detecting the passage way of the ship deck. The autonomous driving was performed by detecting the passage way of the ship deck through the camera mounted on the mobile robot based on the data learned through Nvidia's End-to-end learning. The mobile robot was stopped by checking the stop sign using SSD MobileNetV2. The experiment was repeated five times in which the mobile robot autonomously drives to the stop sign without deviation from the ship deck passage way at a distance of about 70m. As a result of the experiment, it was confirmed that the mobile robot was driven without deviation from passage way. If the smart autonomous logistics system to which this result is applied is used in the marine industry, it is thought that the stability, reduction of labor force, and work efficiency will be improved when workers work.

Relationship Identification of Diffusion Effect on High-speed Rail Demand Increase (확산효과를 통한 고속철도의 여객수요 증가현상에 관한 연구)

  • Kim, Junghwa;Ryu, Ingon;Choi, Keechoo;Lee, Myunghwan
    • Journal of the Korean Society for Railway
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    • v.19 no.4
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    • pp.539-546
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    • 2016
  • It is over 12 years since the launch of Korea Train eXpress (KTX) services. Demand for the KTX has been on the increase continuously but few studies have been produced related to this phenomenon. KTX passenger demand has been constantly increasing due to influencing factors such as the expansion of network, rise of oil prices, etc. In this study, our main focus is to verify that there are other types of elements that are causing an increase in KTX demand; our approach looks at changes in social and psychological aspect that have occurred due to the reduction of travel time and cost, as well as the imposition of a five-day workweek. In other words, we considered diffusion theory in the marketing area, which affects product selection and purchasing attitudes, as a key factor that is causing passenger demand to increase. That is to say that it is hypothesized that the demand for travel on the KTX has increased due to the train's utility, which is spread by the diffusion effect Therefore, the Bass diffusion model was applied to explain the dramatic increase in KTX passenger demand. Based on this foundation, it was also discussed how certain marketing strategies that incorporate the diffusion effect should be considered variously for sustainable management of rail transportation, while considering a steady passenger demand.