Analysis of the Effect of Autonomous Driving of Waste Vehicles on CO2 Emission using Macroscopic Model

doi:10.15683/kosdi.2021.3.31.165

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2021 Vol.17, Issue 1 Preview Page Next Page

Original Article

Analysis of the Effect of Autonomous Driving of Waste Vehicles on CO₂ Emission using Macroscopic Model 거시모형을 이용한 폐기물 차량 자율주행이 이산화탄소 배출량에 미치는 영향 분석: 윤병조¹*ㆍ홍기만²
Byoungjo Yoon¹*, Kiman Hong²; ¹Professor, College of Urban Science, Incheon National University, Incheon, Republic of Korea
²Post-Doctoral Researcher, Department of Future Technology and Convergence Research Smart Mobility Research Center, Korea Institute of Civil Engineering and Building Technology, Goyang, Republic of Korea

31 March 2021. pp. 165-175

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Abstract

Purpose: The purpose of this study is to quantitatively present the carbon dioxide(CO₂) emission change according to the application of autonomous driving technology at the network level for waste vehicles in the metropolitan area. Method: The target year was set to 2030, and the analysis method estimated the carbon dioxide (CO₂) emissions for each road link through user equilibrium assignment when unapplied scenario. The application scenario performed traffic assignment using route data on the premise that the group was running in accordance with the application of autonomous driving technology to waste vehicles. In addition, the other means estimated the carbon dioxide emissions through user balance allocation by reflecting the results of the waste vehicle allocation. Result: As a result of the analysis, carbon dioxide(CO₂) emissions were found to be reduced by about 56.9ton/day from the national network level, and the Seoul metropolitan area was analyzed to be reduced by about 54.7ton/day. Conclusion: This study quantitatively presented environmental impacts among various social effects that autonomous driving technology will bring, and in the future, development of various analytical methodologies and related studies should be continuously conducted.

Keywords

Autonomous driving

Carbon Dioxide(CO₂) Emission

Platooning

Traffic Assignment

Waste Vehicle

연구목적: 본 연구는 수도권 폐기물 차량을 대상으로 네트워크 차원에서의 자율주행기술 적용에 따른 이산화탄소(CO₂) 배출량 변화를 정량적으로 제시하는데 목적이 있다. 연구방법: 2030년을 목표연도로 분석 방법은 미시행시 사용자균형배정을 통해 도로 링크별 이산화탄소(CO₂) 배출량을 추정하였다. 시행시는 폐기물 차량의 자율주행기술 적용에 따라 군집주행한다는 전제하는 노선배정을 수행하였으며, 그 외 수단은 노선배정 결과를 반영한 사용자균형배정으로 이산화탄소(CO₂) 배출량을 추정하였다. 연구결과: 분석 결과, 이산화탄소(CO₂) 배출량은 전국단위의 네트워크에서 약 56.9톤/일이 감축되는 것으로 나타났으며, 수도권은 약 54.7톤/일이 감축되는 것으로 분석되었다. 결론: 본 연구는 자율주행기술이 가져올 다양한 사회적 효과 중 환경적 측면에서의 영향을 정량적으로 제시하였으며, 향후 다양한 분석 방법론 개발과 관련 연구가 지속적으로 수행되어야 할 것이다.

키워드

자율주행

이산화탄소(CO₂) 배출량

군집주행

통행배정

폐기물차량

References

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Jo, Y., Lee, S.Y., Oh, C. (2018). "Impacts of truck platooning in mixed-traffic conditions on freeway capacity." Journal of Korean Society of Transportation, Vol. 36, No. 5, pp. 331-345. 10.7470/jkst.2018.36.5.331
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Lee, S.Y., Oh, M.S., Oh, C., Jeong, E.B. (2018). "Automated driving aggressiveness for traffic management in automated driving nvironments." Journal of Korean Society of Transportation, Vol. 36, No. 1, pp. 38-50. 10.7470/jkst.2018.36.1.038
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Information

Publisher :The Korean Society of Disaster Information
Publisher(Ko) :한국재난정보학회
Journal Title :Journal of the Society of Disaster Information
Journal Title(Ko) :한국재난정보학회논문집
Volume : 17
No :1
Pages :165-175
DOI :https://doi.org/10.15683/kosdi.2021.3.31.165

[1] Galvert, S.C., Schakel, W.J., van Arem, B. (2019). "Evaluation and modelling of the traffic flow effects of truck platooning." Transportation Research Part C, Vol. 105, pp.1-22. 10.1016/j.trc.2019.05.019

[2] Grondys, K. (2018). "The impact of freight transport operations on the level of pollution in cities." Transportation Research Procedia, Vol. 39, pp. 84-91. 10.1016/j.trpro.2019.06.010

[3] Jo, Y., Kwon, K.J., Oh, C. (2018). "Methodology for determining promising freeway segments for truck plattoning." Journal of Korean Society of Transportation, Vol. 36, No. 2, pp. 98-111. 10.7470/jkst.2018.36.2.098

[4] Jo, Y., Lee, S.Y., Oh, C. (2018). "Impacts of truck platooning in mixed-traffic conditions on freeway capacity." Journal of Korean Society of Transportation, Vol. 36, No. 5, pp. 331-345. 10.7470/jkst.2018.36.5.331

[5] Joanna, N., Monika, S. (2016). "Problem of air pollution and road freight in European Union." Transportation Research Procedia, Vol. 16, pp. 418-424 . 10.1016/j.trpro.2016.11.039

[6] Korea Development Institute (2008). A Study on General Guidelines for Pre-feasibility Study(5th Edition).

[7] KPMG International (2019). 2019 Autonomous Vehicles Readiness Index.

[8] Lee, S.M. (2016). A Basic Study on the Eco-friendliness of Autonomous Vehicles. Korea Environment Institute, 2016-04, Korea.

[9] Lee, S.Y., Oh, C. (2018). "A methodology to establish operational strategies for truck platoonings on freeway on-ramp areas." Journal of Korean Society of Transportation, Vol. 36, No. 2, pp. 67-85. 10.7470/jkst.2018.36.2.067

[10] Lee, S.Y., Oh, M.S., Oh, C., Jeong, E.B. (2018). "Automated driving aggressiveness for traffic management in automated driving nvironments." Journal of Korean Society of Transportation, Vol. 36, No. 1, pp. 38-50. 10.7470/jkst.2018.36.1.038

[11] Sadayuki, T. (2013). "An overview on an automated truck platoon within the energy ITS project." 7th IFAC Symposium on Advances in Automotive Control The International Federation of Automatic Control, pp. 41-46. 10.3182/20130904-4-JP-2042.00110

[12] SUDOKWON Landfill Site Management Corporation (2019). Year 2018 SUDOKWON Landfill Statistics Yearbook 2019. Vol. 17.

[13] The Korea Transport Institute (2019). Global Logistics Technology Trend. Vol. 13, No. 614, pp. 1-4.

[14] Yook, D.H., Lee, B.J., Park, J.T. (2018). "Exploring the impacts of autonomous vehicle implementation through microscopic and macroscopic approaches." The Journal of The Korea Institute of Intelligent Transport Systems, Vol. 17, No. 5, pp. 14-28. 10.12815/kits.2018.17.5.14

Journal of the Society of Disaster Information ISSN:1976-2208(Print) 2671-5287(Online) 한국재난정보학회논문집

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