• Title/Summary/Keyword: 첨단자동차

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Predictive Algorithm of Self-Control System using Load Control Model applied to Automobile Dynamic (하중모델을 이용한 자동차 운동 분석과 자율 예측 시스템 알고리즘)

  • Wang, Hyun-Min;Woo, Kwang-Joon
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.47 no.4
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    • pp.61-68
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    • 2010

  • Appling high technology of aerospace to automobile, so it is able to progress safety which is a goal of future automobile and to approach development of self-control automobile. This is realized dynamic model of airplane at DFCS(Digital Flight Control System). The DFCS calculates control values for self-control flight. If this high technology applies to automobile, then it is able to be maneuvered automobile like UAV's self-control flight. In this paper is reanalyzed automobile dynamic applied load control model used high-tech of airplane. It analyzes riding comfortable according to movement of automobile using the load control model, presents method of solution for improvement riding comfortable and presents example of self-control system used the load control model for self-control driving.

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A Study on the Analysis of Bus Machine Learning in Changwon City Using VIMS and DTG Data (VIMS와 DTG 데이터를 이용한 창원시 시내버스 머신러닝 분석 연구)

  • Park, Jiyang;Jeong, Jaehwan;Yoon, Jinsu;Kim, Sungchul;Kim, Jiyeon;Lee, Hosang;Ryu, Ikhui;Gwon, Yeongmun
    • Journal of Auto-vehicle Safety Association
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    • v.14 no.1
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    • pp.26-31
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    • 2022

  • Changwon City has the second highest accident rate with 79.6 according to the city bus accident rate. In fact, 250,000 people use the city bus a day in Changwon, The number of accidents is increasing gradually. In addition, a recent fire accident occurred in the engine room of a city bus (CNG) in Changwon, which has gradually expanded the public's anxiety. In the case of business vehicles, the government conducts inspections with a short inspection cycle for the purpose of periodic safety inspections, etc., but it is not in the monitoring stage. In the case of city buses, the operation records are monitored using Digital Tacho Graph (DTG). As such, driving records, methods, etc. are continuously monitored, but inspections are conducted every six months to ascertain the safety and performance of automobiles. It is difficult to identify real-time information on automobile safety. Therefore, in this study, individual automobile management solutions are presented through machine learning techniques of inspection results based on driving records or habits by linking DTG data and Vehicle Inspection Management System (VIMS) data for city buses in Changwon from 2019 to 2020.

  • https://doi.org/10.22680/kasa2022.14.1.026 인용 PDF KSCI