한국해양대학교

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무인화물차의 물류비용 분석에 관한 연구

DC Field Value Language
dc.contributor.author 박진순 -
dc.date.accessioned 2017-02-22T06:04:27Z -
dc.date.available 2017-02-22T06:04:27Z -
dc.date.issued 2016 -
dc.date.submitted 57098-06-03 -
dc.identifier.uri http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002302917 ko_KR
dc.identifier.uri http://repository.kmou.ac.kr/handle/2014.oak/9048 -
dc.description.abstract According to the increase in research for autonomous vehicle in automobile industries, autonomous cargo truck has been focused to analyse its efficiency in logistics area. The inland transportation has been a serious problem such as in traffic accident, traffic congestion in downtown, air pollution, noise and etc. even though it has a great impact in logistics industries. Especially, the transportation schedule for night time driver needs to be improved in order to prevent their sleepy driving in night which induced heavy accident in highway. In this study, the effectiveness of autonomous cargo truck will be analysed by considering the logistics cost including the social effects. First of all, the development status of each country for autonomous vehicle will be given. Also the main technology of vehicle and its advantage will be deduced. Secondly, the logistics cost will be analysed through direct and indirect costs. By considering the direct and indirect costs, the logistics cost will be distinguished between four items: Vehicle operation cost, Traffic facility cost, Traffic accident cost, and Environment cost. In the analysis, the logistics cost is compared between driver cargo truck and autonomous cargo truck. Also the sensitive analysis will be given by considering autonomous cargo truck cost, insurance fee, and driver cost. As an analysis result, the autonomous cargo vehicle can reduce the logistics cost to approximately 21.8% compared with conventional driver cargo trucks and it can also reduce 290,000 Won from Seoul to Busan for logistics cost. From the logistics cost analysis, we can verify that the autonomous cargo vehicle will be useful for logistics area in future. KEY WORDS: Autonomous Cargo Vehicle -
dc.description.abstract Operation Cost -
dc.description.abstract Labor Cost -
dc.description.abstract Logistics Cost -
dc.description.tableofcontents 제 1 장 서 론 1 1.1 연구 배경 및 목적 1 1.2 연구 내용 및 방법 3 제 2 장 무인화물자동차 개발 현황 5 2.1 무인자율차량 정의 5 2.2 무인자율차량 주요 기능 10 2.2.1 환경인식 (Perception) 12 2.2.2 위치인식 및 맵핑(Localization) 15 2.2.3 판단(Motion Planning) 16 2.2.4 제어(Control) 16 2.3 무인자율차량 개발현황 17 2.3.1 미국 17 2.3.2 일본 20 2.3.3 유럽 22 2.3.4 한국 25 제 3 장 무인화물차량의 물류비용 분석 28 3.1 차량운행비용 29 3.1.1 유류비 29 3.1.2 차량비 29 3.1.3 유지관리비 31 3.1.4 인건비 31 3.2 교통시설비용 32 3.2.1 도로이용료 32 3.2.2 차량세 33 3.3 교통사고비용 33 3.3.1 보험료 33 3.3.2 교통사고 피해비용 34 3.4 환경오염비용 36 3.4.1 소음비 36 3.4.2 대기오염비 37 3.4.3 교통혼잡비용 38 제 4 장 유·무인 화물차의 물류비용 비교 분석 40 4.1 가정 및 조건 40 4.2 물류비용분석 40 4.3 시나리오별 비교분석 45 4.3.1 시나리오 설정 45 4.3.2 시나리오별 비교 46 4.4 민감도 분석 48 4.4.1 무인화물차량 추가비에 따른 민감도 분석 48 4.4.2 차량보험료에 따른 민감도 분석 48 4.4.3 인건비 상승에 따른 민감도 분석 49 4.5 시사점 고찰 50 제 5 장 결 론 51 -
dc.language kor -
dc.publisher 한국해양대학교 대학원 -
dc.title 무인화물차의 물류비용 분석에 관한 연구 -
dc.title.alternative A Study on Logistics Cost Analysis for Autonomous Cargo -
dc.type Thesis -
dc.date.awarded 2016-08 -
dc.contributor.alternativeName Park -
dc.contributor.alternativeName Jin Soon -
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항만물류학과 > Thesis
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