• 지능정보연구
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• 제13권1호
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• pp.49-58
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• 2007

공급망의 물류흐름을 최적화하기 위해 여러 차고지를 기점으로 차량들이 다수의 적하와 하역장소를 거쳐 차고지로 돌아오는 최적의 배송경로를 계획하는 기존의 최적화모형 연구는 정수계획법(IP)에 기반을 둔 MDPDPTW(Multi-Depot Pickup and Delivery Problem with Time Windows) 모형이 있다. 이에 관한 연구들은 차고지의 차량들을 대상으로만 배송경로를 계획하기 때문에 운행 중인 차량을 고려할 때보다 효과적인 배송경로계획에 한계가 있다. 본 연구는 효과적인 공급망관리를 위하여 여러 차고지의 차량은 물론, 유비쿼터스 환경에서 배송화물과 운행 중인 차량상황을 포함한 배송상황을 기반으로 최적의 배송경로를 계획하는 IP기반 최적화모형인 u-MDPDPTW 모형을 제안하는데 그 목적이 있다. 또한, 기존 MDPDPTW 모형과 본 연구의 u-MDPDPTW 모형의 비교실험을 통하여 u-MDPDPTW 모형의 효과와 유용성을 보인다.

• 해양환경안전학회지
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• 제25권2호
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• pp.151-158
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• 2019

도로 교통에서는 차세대 지능형 교통시스템(C-ITS)의 핵심 기술인 차량용 무선통신기술(WAVE)을 활용하여 교통사고 예방을 위한 차량과 차량, 차량과 인프라간 교통상황 등 정보를 전달하고 있다. 현재 해상에서는 상대선박의 상태 등의 정보를 전달하는 수단으로 AIS를 많이 활용하고 있으나 AIS 과부하 등 문제점이 대두되고 있어 차량용 무선통신기술을 해상에 적용하는 등 이를 해결하기 위한 다양한 연구들이 수행되고 있다. 본 연구에서는 선행연구를 통해 검증된 차량용 무선통신기술(WAVE)의 해상적용을 바탕으로 소형선박에 적합한 선박 충돌경보시스템을 개발하였고 실선 TEST를 통해 충돌경보시스템의 적정성을 검토하였다. 차량용 무선통신기술을 활용한 시스템의 적용을 통해 해양사고 예방뿐만 아니라 e-Navigation이나 자율운항 선박 등 차세대 해양안전기술의 발전에 많은 기여를 할 것으로 예상이 된다.

• 한국전산구조공학회논문집
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• 제20권3호
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• pp.387-392
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• 2007

과적차량은 도로와 교량의 내구성 감소에 가장 큰 위험요소 중 하나여서 지금까지 이런 문제를 제한하기 위해 과적차량에 대한 단속이 실시되어 왔다. 그러나 기존의 시스템은 많은 문제점을 내포하고 있어서 이에 대한 대처방안이 요구되고 있다. 이러한 이유로 본 논문에서는 기존 문제점 해결과 u-ITS의 구축을 위해 무인화, 무선화 기반의 U-중차량 무인과적 단속시스템 구축방안을 제시하며 이를 위해, 시스템 구성방법, USN의 적용, 시스템 제어부와 WCDMA/HSDPA의 설계에 대해 연구하고 WIM 센서의 성능에 대해 검증하였다.

• IEIE Transactions on Smart Processing and Computing
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• 제2권2호
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• pp.45-56
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• 2013

The precise identification of vehicle positions, known as the vehicle localization problem, is an important requirement for building intelligent vehicle ad-hoc networks (VANETs). To solve this problem, two categories of solutions are proposed: stand-alone and data fusion approaches. Compared to stand-alone approaches, which use single information including the global positioning system (GPS) and sensor-based navigation systems with differential corrections, data fusion approaches analyze the position information of several vehicles from GPS and sensor-based navigation systems, etc. Therefore, data fusion approaches show high accuracy. With the position information on a set of vehicles in the preprocessing stage, data fusion approaches is used to estimate the precise vehicular location in the local map building stage. This paper proposes an efficient local map building scheme, which increases the accuracy of the estimated vehicle positions via V2V communications. Even under the low ratio of vehicles with communication modules on the road, the proposed local map building scheme showed high accuracy when estimating the vehicle positions. From the experimental results based on the parameters of the practical vehicular environments, the accuracy of the proposed localization system approached the single lane-level.

• 한국생산제조학회지
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• 제23권2호
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• pp.103-108
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• 2014

Growing concerns about environmental pollution have led to an increase in the demand for compressed natural gas (CNG) vehicles in recent years. CNG vehicles are equipped with a cylinder valve installed in a high-pressure vessel to control the CNG flow. The cylinder valve must meet high quality safety standards because the pressure vessel stores high-pressure CNG. Therefore, safety evaluation of the cylinder valve is necessary to ensure the safety of CNG vehicles. In this study, fluid-structure interaction analysis for the structural integrity of the cylinder valve were conducted using a commercial finite element analysis code(ANSYS WORKBENCH V14). The CFD analysis was performed using a steady-state technique according to the inlet and outlet pressures in order to predict the pressure distribution. Structural analysis was performed by a static structure technique at the maximum working pressure to evaluate the structural integrity of the cylinder valve. From the results, the safety factor of the valve component is between 1.57 and 21.5.

• 한국자동차공학회논문집
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• 제21권1호
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• pp.128-136
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• 2013

This study presents the development of Gateway Control Module using SAE J1939 protocol for the commercial vehicles. Presently, the load rate of CAN bus is increased by the single network composition and addition of new ECUs for development of intelligent vehicles. Because the embedded system of the integrated network control function has the errors of the CAN bus caused by the increase of ECU, it is needed for development of commercial vehicles. Also, this study presents the development of smart functions that can diagnosis CAN bus errors, fault diagnosis of ECU and basic function that arbitrates CAN bus between ECUs of commercial vehicle. GCM was designed for 4channel separation about Gateway function as solution of load rate decrease and smart functions. HILS(Hardware in the loop simulation)system that can achieve simulation about CAN Messages of all systems on vehicle was applied to evaluate performance and verification of all functions and performance. The load rate on CAN bus was decreased at using functions what was delivery, block and process of GCM. Through this, it was enabled to organize systematic architecture for gateway.

• 대한임베디드공학회논문지
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• 제12권1호
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• pp.43-62
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• 2017

Mobile pulse scanning Light Detection And Ranging (LIDAR) are essential components of intelligent vehicles capable of autonomous travel. Obstacle detection functions of autonomous vehicles require very low failure rates. With the increasing number of autonomous vehicles equipped with scanning LIDARs to detect and avoid obstacles and navigate safely through the environment, the probability of mutual interference becomes an important issue. The reception of foreign laser pulses can lead to problems such as ghost targets or a reduced signal-to-noise ratio. This paper will show the probability that any two scanning LIDARs will interfere mutually by considering spatial and temporal overlaps. We have conducted four experiments to investigate the occurrence of the mutual interference between scanning LIDARs. These four experimental results introduced the effects of mutual interference and indicated that the interference has spatial and temporal locality. It is hard to ignore consecutive mutual interference on the same line or the same angle because it is possible the real object not noise or error. It may make serious faults because the obstacle detection functions of autonomous vehicle rely on heavily the scanning LIDAR.

• Journal of Information Processing Systems
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• 제18권2호
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• pp.258-267
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• 2022

Weak over-the-horizon perception and blind spot are the main problems in intelligent connected vehicles (ICVs). In this paper, a V2V image transmission-based road condition warning method is proposed to solve them. The encoded road emergency images which are collected by the ICV are transmitted to the on-board unit (OBU) through Ethernet. The OBU broadcasts the fragmented image information including location and clock of the vehicle to other OBUs. To satisfy the channel quality of the V2X communication in different times, the optimal fragment length is selected by the OBU to process the image information. Then, according to the position and clock information of the remote vehicles, OBU of the receiver selects valid messages to decode the image information which will help the receiver to extend the perceptual field. The experimental results show that our method has an average packet loss rate of 0.5%. The transmission delay is about 51.59 ms in low-speed driving scenarios, which can provide drivers with timely and reliable warnings of the road conditions.

• ETRI Journal
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• 제44권4호
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• pp.641-653
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• 2022

In the process of autonomous vehicle motion planning and to create comfort for vehicle occupants, factors that must be considered are the vehicle's safety features and the road's slipperiness and smoothness. In this paper, we build a mathematical model based on the combination of a genetic algorithm and a neural network to offer lane-change solutions of autonomous vehicles, focusing on human vehicle control skills. Traditional moving planning methods often use vehicle kinematic and dynamic constraints when creating lane-change trajectories for autonomous vehicles. When comparing this generated trajectory with a man-generated moving trajectory, however, there is in fact a significant difference. Therefore, to draw the optimal factors from the actual driver's lane-change operations, the solution in this paper builds the training data set for the moving planning process with lane change operation by humans with optimal elements. The simulation results are performed in a MATLAB simulation environment to demonstrate that the proposed solution operates effectively with optimal points such as operator maneuvers and improved comfort for passengers as well as creating a smooth and slippery lane-change trajectory.

• Interaction and multiscale mechanics
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• 제4권4호
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• pp.273-289
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• 2011

The vibration response of the bridges under the moving vehicular load is of importance for engineers to estimate the serviceability of existing bridges and to design new bridges. This paper deals with the three dimensional vibration analysis of prestressed concrete bridges under moving vehicles. The prestressed bridges are modeled by four-node isoparametric flat shell elements with the transverse shearing deformation taken into account. The usual five degrees-of-freedom (DOFs) per node of the element are appended with a drilling DOF to accommodate the transformation of the local stiffness and mass matrices to the global coordinates. The vehicle is modeled as a single or two-DOF system. A single-span prestressed Tee beam and two-span prestressed box-girder bridge are studied as the two numerical examples. The effects of prestress forces on the natural frequencies and dynamic responses of the bridges are investigated.