• Title/Summary/Keyword: vehicle distance

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Analysis on the Efficiency Change in Electric Vehicle Charging Stations Using Multi-Period Data Envelopment Analysis (다기간 자료포락분석을 이용한 전기차 충전소 효율성 변화 분석)

  • Son, Dong-Hoon;Gang, Yeong-Su;Kim, Hwa-Joong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.2
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    • pp.1-14
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    • 2021
  • It is highly challenging to measure the efficiency of electric vehicle charging stations (EVCSs) because factors affecting operational characteristics of EVCSs are time-varying in practice. For the efficiency measurement, environmental factors around the EVCSs can be considered because such factors affect charging behaviors of electric vehicle drivers, resulting in variations of accessibility and attractiveness for the EVCSs. Considering dynamics of the factors, this paper examines the technical efficiency of 622 electric vehicle charging stations in Seoul using data envelopment analysis (DEA). The DEA is formulated as a multi-period output-oriented constant return to scale model. Five inputs including floating population, number of nearby EVCSs, average distance of nearby EVCSs, traffic volume and traffic congestion are considered and the charging frequency of EVCSs is used as the output. The result of efficiency measurement shows that not many EVCSs has most of charging demand at certain periods of time, while the others are facing with anemic charging demand. Tobit regression analyses show that the traffic congestion negatively affects the efficiency of EVCSs, while the traffic volume and the number of nearby EVCSs are positive factors improving the efficiency around EVCSs. We draw some notable characteristics of efficient EVCSs by comparing means of the inputs related to the groups classified by K-means clustering algorithm. This analysis presents that efficient EVCSs can be generally characterized with the high number of nearby EVCSs and low level of the traffic congestion.

Target identification for visual tracking

  • Lee, Joon-Woong;Yun, Joo-Seop;Kweon, In-So
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.145-148
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    • 1996
  • In moving object tracking based on the visual sensory feedback, a prerequisite is to determine which feature or which object is to be tracked and then the feature or the object identification precedes the tracking. In this paper, we focus on the object identification not image feature identification. The target identification is realized by finding out corresponding line segments to the hypothesized model segments of the target. The key idea is the combination of the Mahalanobis distance with the geometrica relationship between model segments and extracted line segments. We demonstrate the robustness and feasibility of the proposed target identification algorithm by a moving vehicle identification and tracking in the video traffic surveillance system over images of a road scene.

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Factors Related to Velocity Perception in a Graphic Simulator (시뮬레이터의 그래픽모듈에 대한 속도감 인자 분석)

  • Son, Kwon;Choi, Kyung-Hyun;Eom, Sung-Suk;Hong, Sung-Jin
    • Transactions of the Korean Society of Automotive Engineers
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    • v.9 no.3
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    • pp.121-130
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    • 2001
  • This paper addresses a method for evaluating perceived velocities of the graphic module in a driving simulator. The major two graphic factors associated with perceived velocities are analyzed: they are the lateral distance between a virtual driver and an array of environmental objects and the textural density of these objects. A graphical representation of a vehicle and its surrounding environment are constructed by employing a three-dimensional tool, Pro/ENGINEER and a virtual environment, dVISE. Using the developed virtual driving environment, experiments have been carried out to formulate the relationship between velocity perception and each factor. Based on the experimental results, nonlinear regression equations are derived to show how the perceived velocities are dependent upon distance/density.

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The assessment of Safe Navigation Regarding Hydrodynamic forces between ships in Restricted Waterways

  • Lee, Chun-Ki;Yun, Jong-Hwui;Yoon, Jeom-Dong
    • Proceedings of KOSOMES biannual meeting
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    • 2006.11a
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    • pp.143-149
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    • 2006
  • This paper is primarily focused on the safe navigation between overtaking and overtaken vesselsin restricted waterways under the external forces, such as wind and current. The maneuvering simulation between two ships was conducted to find an appropriate safe speed and distance, which is required to avoid collision. From the viewpoint of marine safety, a greater transversedistance between two ships is more needed for the smaller vessel. Regardless of external forces, the smaller vessel will get a greater effect of hydrodynamic forces than the higher one. In the case of close navigation between ships under the forces of wind and current, the vessel moving at a lower speed is potentially hazardous because the rudder force of the lower speed vessel is not sufficient for steady-state course-keeping, compared to that of the higher speed vessel.

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The Comparison of Running Performances between Various Steering-type Guideway Vehicles (조향방식 안내궤도 차량들의 주행 안정성 비교)

  • 윤성호
    • Journal of the Korean Society for Railway
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    • v.5 no.1
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    • pp.18-25
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    • 2002
  • This paper is to study a comparison of ride stabilities for the guideway vehicle between its three primary steering types; the front-rear wheel steering type, tile independent wheel steering and the front wheel steering. A numerical model were built to investigate various factors to have an influence on the vehicular stability. It was shown that dynamic stabilities of the three types were dependent on the steering gain ratio of front wheel steering to rear. The front-rear wheel steering type was more stable for the value of positive steering gains and the shorter distance between front axle and guide link showed better stabilities. On the contrary, the independent wheel steering was more stable for the value of negative gains and the longer distance between front axle and guide link showed better stabilities. Ride characteristics of he front wheel steering seemed to be found midway. Ride behaviors due to time delay from front steering to rear were very different from steering type to type.

Optimal Inner Case Design for Refrigerator by Utilizing Artificial Neural Networks and Genetic Algorithm

  • Zhai, Jianguang;Cho, Jong-Rae;Roh, Min-Shik
    • Journal of Advanced Marine Engineering and Technology
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    • v.34 no.7
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    • pp.971-980
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    • 2010
  • In this paper, an artificial neural network (ANN) was employed to build a predicting model for refrigerator structure. The predicting model includes three input variables of the plaque depth (D), width (W) and interval distance(S) on the inner wall. Finite element method was utilized to obtain the data, which would be necessary for the ANN training process. Finally, a genetic algorithm (GA) was applied to find the optimal parameters that leaded to the minimum inner case deformation under operating condition. The optimal combination found is the depth(D) of 2.63mm, the width(W) of 19.24mm and the interval distance(S) of 49.38mm which leaded to the smallest deformation of 1.88mm for the given refrigerator model.

High-Accuracy Coastdown Test Method by Distance-Time Measurement: I. Theoretical Background and Discussions on Accuracy Improvements (거리·시간 측정에 의한 고정도 타행시험법 : I. 관련이론 및 정밀도 향상방법 고찰)

  • Hur, N.;Ahn, I.K.;Petrushov, V.A.
    • Transactions of the Korean Society of Automotive Engineers
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    • v.3 no.2
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    • pp.51-61
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    • 1995
  • A coast down test mothod has been used to determine the resistance forces on running vehicle due to the aerodynamic drag, rolling resistance and driveline resistance. Most of the tests, however, are based on the Velocity-Time measurements, which require a sophisticated velocity measuring device and contain much error by nature. In the present study a coast down test method based on Distance-Time measurements is introduced, which contains the original idea of Russian scientist Prof. Petrushov along with the suggestions for improvement of the accuracy.

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Estimation of time to contact and surface orientation of a leading vehicle using image deformation (영상변형을 이용한 선행차량과의 충돌시간 및 법선벡터의 예측)

  • Lee, Jun-Woong;Park, Seong-Kee;No, Kyoung-Sig;Kweon, In-So
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.3
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    • pp.334-341
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    • 1998
  • This paper proposes an algorithm to obtain the time-to-contact between an observer and a target and surface orientation of the target. These two physical elements are computed from the image deformation of a known shape, which is extracted by supervised classification of detected line segments based on MAP and Mahalanobis distance. The proposed algorithm was applied to the natural outdoor traffic scene and would contribute to the development for a collision avoidance system.

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A Haptic Interface Using a Force-Feedback Joystick (힘 반향 조이스틱을 이용한 햅틱 인터페이스)

  • Ko, Ae-Kyoung;Kim, Hong-Chul;Lee, Jang-Myung;Choi, Joon-Young
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.12
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    • pp.1207-1212
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    • 2007
  • We propose a haptic interface algorithm for joystick operators working in remote control systems of unmanned vehicles. The haptic interface algorithm is implemented using a force-feedback joystick, which is equipped with low price DC motors without encoders. Generating specific amounts of forces on the joystick pole according to the distance between a remote controlled vehicle and obstacles, the haptic interface enables the operator to perceive the distance information by the sense of touch. For the case of no joystick operation or no obstacles in the working area, we propose an origin control algorithm, which positions the joystick pole at the origin. The origin control algorithm prevents the false movement of the remote vehicles and provides the operator with a realistic force resisting the joystick pole's movement. The experiment results obtained under various scenarios exemplify the validity of the proposed haptic interface algorithm and the origin control algorithm.

A Heterogeneous VRP to Minimize the Transportation Costs Using Genetic Algorithm (유전자 알고리듬을 이용한 운행비용 최소화 다용량 차량경로문제)

  • Ym, Mu-Kyun;Jeon, Geon-Wook
    • IE interfaces
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    • v.20 no.2
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    • pp.103-111
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    • 2007
  • A heterogeneous VRP which considers various capacities, fixed and variable costs was suggested in this study. The transportation cost for vehicle is composed of its fixed and variable costs incurred proportionately to the travel distance. The main objective is to minimize the total sum of transportation costs. A mathematical programming model was suggested for this purpose and it gives an optimal solution by using OPL-STUDIO (ILOG CPLEX). A genetic algorithm which considers improvement of an initial solution, new fitness function with weighted cost and distance rates, and flexible mutation rate for escaping local solution was also suggested. The suggested algorithm was compared with the results of a tabu search and sweeping method by Taillard and Lee, respectively. The suggested algorithm gives better solutions rather than existing algorithms.