• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.293-295
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• 2009

In an Intelligent Transport System(ITS), data dissemination based on inter-vehicle communication is effective for acquiring real-time traffic-jam information. In this paper, we propose a novel method for traffic jam information dissemination in vehicular ad-hoc networks. In our proposed method, vehicles already trapped in a Traffic-Jam elect leaders according to their locations from upstream and downstream respectively. Then each leader generates traffic data which contains their position, velocity and leader counter respectively, and disseminate the information. {{br}}The implementation of our proposed method is evaluated by means of simulation, and we also present simulation result

• Journal of Korean Society of Transportation
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• v.22 no.4 s.75
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• pp.147-158
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• 2004

A class of SWP(Stochastic Wane Propagation) models microscopically mimics individual vehicles' stochastic behavior and traffic jam propagation with simplified car-following models based on CA(Cellular Automata) theory and macroscopically captures dynamic traffic flow relationships based on statistical physics. SWP model, a program-oriented model using both discrete time-space and integer data structure, can simulate a huge road network with high-speed computing time. However, the model has shortcomings to both the capturing of low speed within a jam microscopically and that of the density and back propagation speed of traffic congestion macroscopically because of the generation of spontaneous jam through unrealistic collision avoidance. In this paper, two additional rules are integrated into the NaSch model. The one is SMR(Stopping Maneuver Rule) to mimic vehicles' stopping process more realistically in the tail of traffic jams. the other is LAR(Low Acceleration Rule) for the explanation of low speed characteristics within traffic jams. Therefore, the CA car-following model with the two rules prevents the lockup condition within a heavily traffic density capturing both the stopping maneuver behavior in the tail of traffic jam and the low acceleration behavior within jam microscopically, and generates more various macroscopic traffic flow mechanism than NaSch model's with the explanation of propagation speed and density of traffic jam.

• 한국공간정보시스템학회:학술대회논문집
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• 2007.06a
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• pp.355-358
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• 2007

This paper is aimed that preparing to make good plan for great city ports, like Gwangyang port which is growing rapidly in Asia as a hub port. But I am worrying about the capacity of Gwangyang bay area to serve very great mission for the future, continuously. I hope that we are able to make good circumstances for our great ports. In this Gwangyang bay, we can realize that we may have some solutions for the traffic jam, because of the finite bay area. So I analyzed the rate of traffic jam that was derived from so many great ships to come and use the Gwangyang bay area. As a result, in recent year, 2005, 2006, ratio was growing rapidly, so we need so we need good works for this region.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.257-263
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• 2021

Though many have studied choosing one of the alternative ways to reach a destination, the factors such as average road speed, distance, and number of traffic signals, traffic congestion, safety, and services still presents an indisputable challenge. This paper proposes two approaches: Appropriate membership function and ambiguous rule-based approach. It aims to tackle the route choice problem faced by almost all drivers in any city. It indirectly helps in tackling the problem of traffic congestion. The proposed approach considers the preference of each driver which is determined in a flexible way like a human and stored in the driver profile. These preferences relate to the criteria for evaluating each candidate route, considering the average speed, distance, safety, and services available. An illustrative case study demonstrates the added value of the proposed approach compared to some other approaches.

• Journal of Platform Technology
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• v.6 no.1
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• pp.17-23
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• 2018

Taxi's queue for entering into taxi stand makes traffic jam and congestion around taxi stand. If we make that taxi waits in another place around taxi stand, and can approach to taxi stand when it gets in its turn, these traffic jam and congestion around taxi stand can be reduced. In this paper, we propose entry sequence operating system for taxi stand to reduce traffic jam and congestion around taxi stand. In this system, taxi driver can request his sequence number, and the system issues sequence number to driver. When it is time to approach to taxi stand due to issued sequence number, the proposed system notifies to taxi driver via taxi terminal. Taxi getting the proposed service can wait in another place around taxi stand, and can approach to taxi stand after receiving notify for approaching. Therefore, the proposed system in this paper can reduce traffic jam and congestion around taxi stand because it can reduce or get rid of taxi's queue around taxi stand. We implement the taxi stand approach sequence management system proposed in this paper for taxi stand installed in Chungju-Si, Chungbuk. We use Google Cloud service and Android platform for implementing.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.1886-1894
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• 2009

The widening national capital area of Korea has caused a traffic jam problem with increasing commuting hours. In addition, as the economic crisis goes on, the people moving to the outside of a city has increased. So we expect that the expansion of this metropolitan area will do grow and it will cause a more severe traffic jam in the near future. Therefore, We will study about 'Rapid Railroad Operation in Metropolitan Area' to solve this problem and improve rail's competitive power as a reasonable transportation method. The Rapid Railroad can sharply reduce commuting hours. Also, it is more eco-friendly transportation than the others. Through many cases revealed in both domestics and overseas, we will solve the problem of a traffic jam getting senous m metropolitan area. After studying successful cases of overseas, rapid railroad, such as France and Japan, we will study domestic cases of Yongsan$\sim$Dong-inchoen, Guro$\sim$Cheonan and Gaehwa$\sim$Sin-nonhyeon, and comparison will do made among these case. In conclusion, The introduction of Rapid Railroad show the effective plan for strengthen the competitiveness and solve the traffic problem.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.4 no.1 s.6
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• pp.43-56
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• 2005

This research has examined a time series analysis(TSA) of an every hour traffic information such as occupancy, a traffic flow, and a speed, a statistical model of a surveyed data on the traffic fundamental diagram and an expand aspect of a traffic jam by many Parts of the traffic flow. Based on the detected data from traffic accidents on the Cheonan-Nonsan high way and events when the road volume decreases dramatically like traffic accidents it can be estimated from the change of occupancy right after accidents. When it comes to a traffic jam like events the changing gap of the occupancy and the mean speed is gentle, in addition to a quickness and an accuracy of a detection by the time series analyse of simple traffic index is weak. When it is a stable flow a relationship between the occupancy and a flow is a linear, which explain a very high reliability. In contrast, a platoon form presented by a wide deviation about an ideal speed of drivers is difficult to express by a statical model in a relationship between the speed and occupancy, In this case the speed drops shifty at 6$\~$8$\%$ occupancy. In case of an unstable flow, it is difficult to adopt a statistical model because the formation-clearance Process of a traffic jam is analyzed in each parts. Taken the formation-clearance process of a traffic jam by 2 parts division into consideration the flow having an accident is transferred to a stopped flow and the occupancy increases dramatically. When the flow recovers from a sloped flow to a free flow the occupancy which has increased dramatically decrease gradually and then traffic flow increases according as the result analyzed traffic flow by the multi regime as time series. When it is on the traffic jam the traffic flow transfers from an impeded free flow to a congested flow and then a jammed flow which is complicated more than on the accidents and the gap of traffic volume in each traffic conditions about a same occupancy is generated huge. This research presents a need of a multi-regime division when analyzing a traffic flow and for the future it needs a fixed quantity division and model about each traffic regimes.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.1
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• pp.235-241
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• 2014

There are many traffic problems in a city such as parking, traffic jam caused by traffic induction facility. Therefore it is essential to demand for traffic demand management to building's owner whose building location causes traffic induction. According to the 90s traffic policy, government collects fee for traffic induction facility through traffic policy management and they encourage the building owner to join reduction of traffic jam program by reduction of traffic induction fee. However there are not many buildings owner joined this program because the program is not ghat beneficial. For example, if government set out parking guidance system (part of parking demanding system) in a city, it will reduce to 20% of traffic induced contributions but t can be used only once a year, so it is not efficient to used even it is valuable for about 10 years. In particular, according to the economic efficiency analysis, evaluate economically as net present value (NPV) to 2,160.44 million won, ratio of benefit/cost (B / C) to 2.44 during 10 years. Therefore this research will find out what is necessary for parking guidance system.

• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.413-416
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• 2003

This paper proposes an adaptive background image generation method based on the frame difference for traffic monitoring. The performance of the conventional method is limited when there are more vehicles due to traffic Jam. To improve on this, we use frame differencing to separate vehicles from background in frame differencing, we adopt selective approach by using part of the image not considered as vehicle fer extraction of background. The proposed method generates background more efficiently than conventional methods even in the presence of heavy traffic.

• Journal of information and communication convergence engineering
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• v.11 no.1
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• pp.30-44
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• 2013

Traffic congestion has become a serious problem with the recent exponential increase in the number of vehicles. In urban areas, almost all traffic congestion occurs at intersections. One of the ways to solve this problem is road expansion, but it is difficult to realize in urban areas because of the high cost and long construction period. In such cases, traffic signal control is a reasonable method for reducing traffic jams. In an actual situation, the traffic flow changes randomly and its randomness makes the control of traffic signals difficult. A prediction of traffic jams is, therefore, necessary and effective for reducing traffic jams. In addition, an autonomous distributed (stand-alone) point control of each traffic light individually is better than the wide and/or line control of traffic lights from the perspective of real-time control. This paper describes a stochastic optimum control of crossroads and multi-way traffic signals. First, a stochastic model of traffic flows and traffic jams is constructed by using a Bayesian network. Secondly, the probabilistic distributions of the traffic flows are estimated by using a cellular automaton, and then the probabilistic distributions of traffic jams are predicted. Thirdly, optimum traffic signals of crossroads and multi-way intersection are searched by using a modified particle swarm optimization algorithm to realize real-time traffic control. Finally, simulations are carried out to confirm the effectiveness of the real-time stochastic optimum control of traffic signals.