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

  • 제19권3호
  • /
  • Pages.62-74
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  • 2020
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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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경사도 에너지 소모량을 고려한 자전거 경로 선택 모형 개발

Development of Bicyclists' Route Choice Model Considering Slope Gradient

  • 이규진 (아주대학교 TOD기반지속가능도시교통연구센터) ;
  • 류인곤 (아주대학교 TOD기반지속가능도시교통연구센터)
  • Lee, Kyu-Jin (TOD-based Sustainable Urban/Transportation Research Center, Univ. of Ajou) ;
  • Ryu, Ingon (TOD-based Sustainable Urban/Transportation Research Center, Univ. of Ajou)
  • Received : 2020.01.07
  • Accepted : 2020.05.19
  • Published : 2020.06.30
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Abstract

중앙정부 및 지방자치단체는 자전거 이용 활성화를 위해 자전거 도로 및 공공 자전거 대여소의 인프라를 지속적으로 확충하고 있다. 이와 같은 인프라 공급과 더불어 이용 편의성 제고정책을 병행한다면, 자전거 이용은 더욱 활성화될 수 있다. 본 연구는 자전거 이용 편의 측면에서 자전거 경사를 고려한 경로 안내 알고리즘을 제안하고 있다. 구체적으로는 경사도와 심장 박동수 측정을 통해, 경사도를 고려한 자전거 주행자의 에너지 소모량 추정 모형을 구축하였고, 경사도에 기인한 에너지 소모량을 최소화할 수 있는 자전거 경로 선택 모형을 제안하고 있다. 연구결과, 평지 구간에서는 주행거리와 속도가 증가할수록 에너지 소모량은 증가하며, 내리막 구간에서는 경사도가 크고 속도가 높을수록 더 적은 에너지가 소요되는 것으로 확인되었다. 본 모형을 모의실험 구간에 적용하여 에너지 소모량을 추정한 결과, 본 연구모형의 RMSE는 경사도가 미 반영된 모형보다 41% 우수하였다. 본 연구결과는 자전거 주행로의 종단과 횡단을 함께 고려한 자전거 인프라 계획과 자전거 경로 안내 시스템의 알고리즘에 적용될 수 있을 것으로 기대된다.

Although the government and local governments devote efforts to activate bicycles, they only access to the supply infrastructure such as bike lanes and the public bicycle rental service centers without considering the measures to overcome the geographical constraints of slope. Therefore, this study constructs bicyclist's energy consumption estimation model through experimental methods of slope gradient and heart rate measurement and suggest the bicycle route choice model which could minimize the energy by the slope gradient. After calculating the RMSE of the estimated energy consumption by applying this model to the simulation section, it is confirmed to be 41% better than the model which does not reflect slope gradient. The results of this study are expected to be applied to the bicycle infrastructure planning that considers both longitude and transverse of bike lanes and the algorithm of bicycle route guidance system in the future.

Keywords

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