This paper addresses a model for the transportation planning that determines the transportation cycle time and the ve-hicle Size to minimize the cost In a distribution system The vehicle routing to minimize the transportation distance of the vehicles is a

Korea Railroad Research Institute(KRRI) has developed the rubber-tired AGT system from 1999 to 2004. The rubber-tired AGT vehicle is now on test for its performance and function in the Gyeong-San test line. Tn this paper, we provide the reliability management plan to assure required the RAMS(reliability, availability, maintainability & safety) of the AGT vehicle system.

Many research papers on transportation studies have focused on the Vehicle Routing Problem (VRP) and Vehicle Scheduling Problem (VSP). However in the real world, it is known that it takes long time to build vehicle scheduling in the process of transporting the amount of orders from the logistics center to the vendors due to the realistic constraints. This paper presents a framework design for each process enabling delivery planning automatically using heuristic algorithm. In addition, an interactive automatic delivery planning system is implemented utilizing the proposed algorithm.

Modem automated manufacturing processes employ automated guided vehicles(AGVs) for material handing, which serve several machining centers(MCs) in a factory. Optimal scheduling of AGVs can significantly help to increase the efficiency of the manufacturing

Modern automated manufacturing processes employ automated guided vehicles(AGVs) for material handling, which serve several machining centers(MCs) in a factory. Optimal scheduling of AGVs can significantly help to increase the efficiency of the manufacturing process by minimizing the idle time of MCs waiting for the raw materials. In this paper, we will analyse the requirements for an optimal schedule and then provide a mathematical framework for an efficient schedule of material delivery by an AGV. With this model, the optimal number of MCs to be utilized will also be determined. Finally, the material delivery schedule employing multiple journeys to the MCs by the AGV will be carried out. Through rigorous analysis and simulation experiments, we shall show that such a delivery strategy will optimize the overall performance.

본 연구는 최신 텔레메틱스 제품의 사용성 평가 및 운전자 생체신호 변이의 분석을 통하여 제품 사용 및 정보서비스의 HMI(Human Machine Interface) 문제점과 개선사항을 도출함으로서 차세대 자동차의 운전자 정보 체계(DIS: Driver Information System)에 대한 HMI 설계의 G/L을 제시하기 위한 것으로, 다양한 평가방법과 실험을 통하여 운전자가 텔레메틱스 제품을 사용하는데 있어서의 주관적, 객관적 작업부하 및 불편요인을 도출하였다.

Flight of an autonomous unmanned aerial vehicle (UAV) generally consists of four steps; take-off, ascent, descent, and finally landing. Among them, autonomous landing is a challenging task due to high risks and reliability problem. In case the landing site where the UAV is supposed to land is moving or oscillating, the situation becomes more unpredictable and it is far more difficult than landing on a stationary site. For these reasons, the accurate and precise control is required for an autonomous landing system of a UAV on top of a moving vehicle which is rolling or oscillating while moving. In this paper, a vision-only based landing algorithm using dynamic gimbal control is proposed. The conventional camera systems which are applied to the previous studies are fixed as downward facing or forward facing. The main disadvantage of these system is a narrow field of view (FOV). By controlling the gimbal to track the target dynamically, this problem can be ameliorated. Furthermore, the system helps the UAV follow the target faster than using only a fixed camera. With the artificial tag on a landing pad, the relative position and orientation of the UAV are acquired, and those estimated poses are used for gimbal control and UAV control for safe and stable landing on a moving vehicle. The outdoor experimental results show that this vision-based algorithm performs fairly well and can be applied to real situations.

In this study an algorithm estimating total load and axial load was conducted using BWIM(Bridge Weigh-in-Motion) system with precision analysis model. Driving test for running vehicle is necessary but it needs much cost, time, and especially hard to applicate to various driving condition. Thus we need a numerical-simulation method for resolving the cost and time problems of driving test for vehicle, and a way to measure bridge responses reflecting many unpredictable situations. Using a precision analysis model reflecting the dynamic characteristic contributes to increase the accuracy in numerical simulation. In this paper, we conduct a numerical simulation to apply a precision analysis model, which reflects the dynamic characteristic of a bridge using the Bridge Weigh-in-Motion system, and suggested a method of overloaded vehicle enforcement technology using the precision analysis model.

Construction of long span bridges is rapidly increasing, the criteria of impact load and study of stability for suspension bridge cables by rear-end collisions and crash of the vehicle, not at the moment is the actual situation. In this study, the main cable of suspension bridges was applied appropriate impact loads and analyzed the structural stability of the cable.

본 연구는 복합센서를 활용한 무인지게차의 주행 시스템에 대한 것이다. 무인지게차가 화물 이 적재를 위해 랙에 진입할 시 필요한 주행기술로 무인지게차의 위치 및 방향을 정확하게 파악하기 위해 RFID, IMU센서 및 근접센서로 구성된 복합센서 시스템을 이용하였고, 각 센서의 성능실험을 통해 특성을 파악한다. 이를 직접 설계/제작한 실험용 차량에 부착하여 복합센서 시스템을 적용하는 실험을 수행하고 이를 통해 개발된 시스템의 성능을 검증하였다.

도로포장의 유지관리를 위해서는 운전자가 직접적으로 느끼게 되는 평탄성에 대한 관리가 중요하며 이를 위해서는 지속적인 평탄성 측정 및 모니터링이 중요하다. 우리나라 일반국도의 경우 자동화된 포장조사장비를 이용하여 포장상태를 측정하여 관리하고 있는데, 이러한 자동화된 조사장비들은 매우 고가여서 보유대수가 부족하므로 지자체 등에서는 운영하기가 어려운 상황이다. 또한 평탄성은 도로 등급이나 사용 목적 및 용도 등에 따라 정밀도를 달리하여 측정하고 운영할 수 있어야 하지만 아직 이러한 적용은 하지 못하고 있는 상황이다. 본 연구에서는 기존에 개발된 저가의 장비를 이용한 평탄성 측정의 가능성을 확인하였다. 먼저 운행차량의 중량측정을 위한 운행차 하중측정 장치에 대해 살펴보고, 이 장치에서 사용되는 가속도계를 이용한 종방향 이동거리에 대한 도로구배의 측정이 가능함을 확인하였다. 도로구배 측정 결과를 θ값을 이용하여 고도 데이터로 변환하면 노면의 프로파일 형상을 얻을 수 있으며 이를 활용하면 그 구간에 대한 평탄성 측정이 가능할 것으로 파악되었다.

This paper describes performance improvement of GPS/DR Integration system using area decision algorithm and vehicle movement information. In GPS signal blockage area, i.e., tunnel and underground parking area, DR sensor errors are accumulated and navigation solution is gradually diverged. We use the car movement information according to moving area to correct the DR sensor error. Also, vehicle movement is decided as stop, straight line, turn and movement changing region through DR sensor data analysis. The car experiment is performed to verify the supposed method. The results show that supposed method provides small position and heading error than previous method.