Journal of the Korea institute for structural maintenance and inspection (한국구조물진단유지관리공학회 논문집)

Korea Institute for Structural Maintenance Inspection (한국구조물진단유지관리공학회)
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A Study on the Analysis of Bridge Safety by Truck Platooning

차량 군집 주행에 따른 교량 안전성 분석에 관한 연구

  • 박상원 (명지대학교 토목환경공학화 ) ;
  • 장민우 (명지대학교 토목환경공학화 ) ;
  • 윤덕근 (한국건설기술연구원 연구전략기획본부 ) ;
  • 노민형 (한국건설기술연구원 도로교통연구본부)
  • Received : 2023.02.15
  • Accepted : 2023.03.30
  • Published : 2023.04.30
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Abstract

Autonomous driving technologies have been gradually improved for road traffic owing to the development of artificial intelligence. Since the truck platooning is beneficial in terms of the associated transporting expenses, the Connected-Automated Vehicle technology is rapidly evolving. The structural performance is, however, rarely investigated to capture the effect of truck platooning on civil infrastructures.In this study, the dynamic behavior of bridges under truck platooning was investigated, and the amplification factor of responses was estimated considering several parameters associated with the driving conditions. Artificial intelligence techniques were used to estimate the maximum response of the mid span of a bridge as the platooning vehicles passing, and the importance of the parameters was evaluated. The most suitable algorithm was selected by evaluating the consistency of the estimated displacement.

인공지능 제반 기술의 발전에 힘입어 도로교통에서 자율주행이 점진적으로 보편화되고 있는 추세이다. 물류 운송 체계에 있어 화물차량의 군집주행은 물류수송의 효용을 극대화할 수 있는 장점이 있기 때문에, 이를 위한 초연결 자율주행 (Connected-Automated Vehicle) 기술이 빠르게 진화하고 있다. 그러나 군집주행으로 인한 반복 하중이 시설물에 미치는 영향에 대한 구조적 검토는 미흡한 편이다. 이 연구에서는 군집 주행 시 발생하는 교량의 동적 거동을 분석하고, 운행 안전성을 확보하기 위해 다양한 시나리오 구성하여 매개변수에 따른 응답의 증폭을 비교하였다. 주행 조건에 따른 동적 거동의 변화를 평가하기 위해 인공지능 기법을 활용하여 군집주행시 최대응답을 추정하고, 활용된 매개 변수의 중요도를 평가하였다. 인공지능 기법에 따른 추정 변위의 정합성을 평가함으로써, 최적합 알고리즘을 선정하였다.

Keywords

Acknowledgement

이 연구는 한국연구재단 기초연구사업의 지원(G2022R1G1A1006194)과 국토교통부/국토교통과학기술진흥원의 연구비 지원(22AMDP-C160881-02)을 받아 수행된 연구입니다.

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