한국ITS학회 논문지 (The Journal of The Korea Institute of Intelligent Transport Systems)

  • 제23권5호
  • /
  • Pages.73-84
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  • 2024
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  • 1738-0774(pISSN)
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  • 2384-1729(eISSN)
한국ITS학회 (The Korea Institute of Intelligent Transport Systems)
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교차로 제어 유형에 따른 전기차 에너지 절감 효과

Electric Vehicle Energy Saving Effects according to Intersection Control Type

  • 박동주 (조선대학교 토목공학과) ;
  • 박상준 (조선대학교 토목공학과) ;
  • 고영림 (조선대학교 토목공학과)
  • Dong joo Park (Dept. of Civil Eng., Chosun Univ.) ;
  • Sang jun Park (Dept. of Civil Eng., Chosun Univ.) ;
  • Young lim Ko (Dept. of Civil Eng., Chosun Univ.)
  • 투고 : 2024.09.11
  • 심사 : 2024.10.04
  • 발행 : 2024.10.31
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초록

이 연구는 전기차 시대 도래에 따라 교차로 운영 방식이 에너지 절감에 미치는 영향을 분석한다. 교차로 제어 유형인 신호, 회전교차로, 비신호 교차로를 대상으로, VISSIM 시뮬레이션과 전기차 및 내연기관차의 에너지 소모 모형을 활용하여 에너지 절감량을 비교하였다. 각 교차로에서 교통량, 접근 속도, 좌회전 비율 등 다양한 시나리오를 바탕으로 에너지 소모량을 산출한 결과, 접근 속도 30kph에서는 신호 교차로가 대부분의 교통 상황에서 가장 에너지 효율성이 높았으며, 접근 속도 60kph에서는 회전교차로가 우수한 성과를 보였다. 특히, 내연기관차를 전기차로 전환했을 때 최대 83%의 에너지를 절감할 수 있었다. 또한 전기차의 회생제동 효과를 분석한 결과, 회전교차로와 신호 교차로 모두 에너지 재생 측면에서 긍정적인 성과를 보였다. 이 연구는 전기차 보급 확대에 따른 교차로 운영 전략 수립에 유용한 정책적 시사점을 제공한다.

This study analyzed the impact of the intersection control types on energy savings in the era of electric vehicles (EVs). Three types of intersection control (signalized, roundabout, and unsignalized intersections) were examined by comparing energy consumption between EVs and internal combustion engine vehicles (ICEVs) through VISSIM simulations and energy consumption models. Various scenarios, including traffic volume, approach speed, and left-turn ratios, were simulated to assess energy consumption. The results showed that signalized intersections were the most energy-efficient under most traffic conditions at an approach speed of 30 kph, while roundabouts showed excellent performance at 60 kph. EVs showed up to 83% energy savings compared to ICEVs. An analysis of regenerative braking in EVs highlighted the benefits of roundabouts and signalized intersections in energy recovery. This study provides valuable policy insights for developing intersection management strategies as EV adoption increases.

키워드

과제정보

이 논문은 조선대학교 학술연구비의 지원을 받아 연구되었음(2024년)

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