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2022 Vol.40, Issue 6 Preview Page

Article

A Study of Calculating Mobility Routes Considering Gradient for Autonomous Public Transportation Based on Electric Vehicles

경사도를 고려한 전기차 기반 자율주행 대중교통 모빌리티 경로산정에 관한 연구

Donggyun KU1
,
Minje CHOI2
,
Jooyoung KIM3*
구 동균1
,
최 민제2
,
김 주영3*
1Research Professor, Department of Transportation Engineering, Universiry of Seoul, Seoul 02504, Korea
2Phd Candidate, Department of Transportation Engineering, Universiry of Seoul, Seoul 02504, Korea
3Assistant Professor, Department of Transportation Policy & Management, Korea National University of Transportation, Gyeonggi 06106, Korea
1서울시립대학교 교통공학과 연구교수
2서울시립대학교 교통공학과 박사수료
3한국교통대학교 교통정책학과 조교수
*Corresponding Author
31 December 2022. pp. 799-815
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Abstract

Automobile fuel is rapidly being replaced to eco-friendly electricity from traditional fossil fuels. With the development of electric vehicles (EVs) technology, new transportation services such as Demand responsive Transport (DRT) and Autonomous Taxi (AT) are expected to focus on electric vehicles. However, EVs have difficulties about long charging time and poor climbing ability compared to conventional fossil fuel-based vehicles. If this problems are improved, EVs will become more active. This study suggests optimal path algorithm considering slope only for EVs to address energy consumption. The slope property was assigned to the network, using satellite photographs and a digital elevation model (DEM). Next, we developed an optimal path algorithm based on the Volume Delay Function (VDF) that combines the energy consumption model of electric vehicles. As a result, it was analyzed that even if the travel distance was slightly increased, the travel time was reduced and the efficiency of the electric vehicle battery was increased. It is expected that this study will complement the shortcomings of EV, increase the transitional EV supply, and ultimately looking forward to contribute eco-friendly transportation policies through the activation of autonomous public transportation mobility.

Keywords
autonomous mobility
digital elevation model
electric vehicles
optimal path analysis
slope

자동차의 연료는 전통적인 화석연료에서 친환경적인 전기로 빠르게 대체되고 있다. 전기차 기술이 발전함에 따라 수요응답형 교통체계(Demand responsive Transport, DRT), 자율주행 택시(Autonomous Taxi, AT) 등의 새로운 교통서비스는 전기차를 중심으로 이루어질 전망이다. 이는 이용자 중심의 친환경 교통정책과 흐름을 같이한다. 다만, 전기차는 기존의 화석연료 중심의 자동차 대비 감가속 능력이나 등판능력 등의 주행 성능 측면에서 단점이 존재한다. 특히 경사로가 많은 지역에서는 전기차의 에너지 소비량에 차이가 존재할 뿐만 아니라 등판능력에 따라 운행이 불가능하거나 사고위험이 높아지는 지역도 존재한다. 본 연구는 이러한 전기차의 단점을 보완하기 위해 전기차 기반 자율주행 모빌리티 전용의 경사를 고려한 최적경로 알고리즘을 제시하고자 한다. 구체적으로 항공사진과 수치표고모델(Digital Elevation Model, DEM)을 이용하여 네트워크에 경사 속성을 부여하였다. 다음으로 전기차의 에너지 소비모델(Energy Consumption Model)과 용량 지체 함수(Volume Delay Function, VDF)를 결합한 최적경로 알고리즘을 개발하였다. 그 결과 통행 거리가 다소 증가하더라도 통행시간을 감소시키고, 전기차 배터리 효율을 증가시키는 것으로 분석되었다. 본 연구를 통해 전기차의 단점을 보완하고, 과도기적인 전기차 보급을 증대시키며, 궁극적으로 자율주행 대중교통 모빌리티 활성화를 통한 친환경 교통정책에 이바지하기를 기대한다.

키워드
자율주행 대중교통 모빌리티
수치표고모델
전기차
최적경로분석
경사
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Information
  • Publisher :Korean Society of Transportation
  • Publisher(Ko) :대한교통학회
  • Journal Title :Journal of Korean Society of Transportation
  • Journal Title(Ko) :대한교통학회지
  • Volume : 40
  • No :6
  • Pages :799-815
  • Received Date : 2022-10-20
  • Revised Date : 2022-10-25
  • Accepted Date : 2022-12-09
  • DOI :https://doi.org/10.7470/jkst.2022.40.6.799
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