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

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Analysis of Impact on Mixed Traffic Flow with Automated Vehicle Using Meta-analysis: Focusing on Uninterrupted Road

메타분석을 이용한 자율주행자동차 혼재교통류 영향 분석에 관한 연구: 연속류 도로를 중심으로

  • Harim Jeong (Dept. of Mobility Transformation, Korea Transport Institute) ;
  • Minkyoung Cho (Dept. of Road Transport Research, Korea Transport Institute) ;
  • Ilsoo Yun (Dept. of Road Transportation System Eng., Ajou University) ;
  • Sangmin Park (Dept. of Road Transport Research, Korea Transport Institute)
  • 정하림 (한국교통연구원 모빌리티전환연구본부) ;
  • 조민경 (한국교통연구원 도로교통연구본부) ;
  • 윤일수 (아주대학교 교통시스템공학과) ;
  • 박상민 (한국교통연구원 도로교통연구본부)
  • Received : 2023.10.10
  • Accepted : 2023.10.29
  • Published : 2023.12.31
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Abstract

Recently, there has been a worldwide increase in research and development on automated vehicles for commercialization. It is expected that the use of level 3 autonomous vehicles on continuous-flow roads will be introduced and will increase. Consequently, various studies have been conducted to investigate the impact of mixed traffic flow with automated vehicles based on the market penetration rate (MPR). However, these studies have been conducted independently, and the results have shown different trends. Therefore, this study attempted a quantitative analysis of the impact of automated vehicles on mixed traffic flow on uninterrupted roads through a meta-analysis. The results showed that the effect size estimated from an MPR of 75% or higher was statistically significant.

최근 국내외에서 자율주행자동차의 상용화를 위한 연구개발이 활발히 진행중이며, 연속류 도로에서 레벨3 수준의 자율주행자동차들의 주행이 도입 및 증가될 것으로 예상된다. 이에 다양한 국내외 연구들에서 자율주행자동차의 시장점유율(MPR)에 따른 혼재 교통류 연구들이 진행되었으나, 각 연구들은 독립적으로 시행되어, 연구 결과에 따라 서로 다른 경향을 보인다. 이에 본 연구에서는 다수의 연구 결과들을 계량적으로 취합하여 통합된 결론을 내리는 메타분석 기법을 이용하여 연속류 도로에서 자율주행자동차의 혼재교통류의 영향을 분석하고자 하였다. 분석결과, 혼재율 75% 이상부터 추정된 효과크기가 통계적으로 유의미한 것으로 나타났으며, 자율주행자동차 혼재기에 연속류 도로 운영 및 관리를 위해서는 자율차 혼재기별 맞춤형 정책이 필요할 것으로 판단된다.

Keywords

Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었음(과제번호 RS-2022-00141102).

References

  1. Aria, E., Olstam, J. and Schwietering, C.(2016), "Investigation of Automated Vehicle Effects on Driver's Behavior and Traffic Performance", Transport Research Procedia, vol. 15, pp.761-770. https://doi.org/10.1016/j.trpro.2016.06.063
  2. Calvert, S. C., Schakel, W. J. and Van Lint, J. W. C.(2017), "Will Automated Vehicles Negatively Impact Traffic Flow?", Journal of Advanced Transportation, vol. 2017, 3082781.
  3. Cho, J.(2020), "Theory and Practice of Meta-Analysis", Journal of Rhinology, vol. 27, no. 2, pp.83-89. https://doi.org/10.18787/jr.2020.00320
  4. Egger, M., Davey Smith, G., Schneider, M. and Minder, C.(1997), "Bias in Meta-analysis Detected by a Simple, Graphical Test", British Medical Journal, vol. 315, pp.629-634. https://doi.org/10.1136/bmj.315.7109.629
  5. Furukawa, T. A., Barbui, C., Cipriani, A., Brambilla, P. and Watanabe, N.(2006), "Imputing missing standard deviations in meta-analysis can provide accurate results", Journal of Clinical Epidemiology, vol. 59, no. 1, pp.7-10.
  6. Higgins, J. P. and Thompson, S. G.(2002), "Quantifying heterogeneity in a meta-analysis", Statistics in Medicine, vol. 21, no. 11, pp.1539-1558. https://doi.org/10.1002/sim.1186
  7. Jin, Y.(2015), Meta-analysis using Stata, Korea University Press, p.13.
  8. Jo, Y., Jung, A., Oh, C., Park, J. and Yun, D.(2022), "Suitability Evaluation for Simulated Maneuvering of Autonomous Vehicles", The Korea Institute of Intelligent Transport Systems, vol. 21, no. 2, pp.183-200. https://doi.org/10.12815/kits.2022.21.2.183
  9. Kang, H.(2015), "Statistical Considerations in Meta-Analysis", Hanyang Medical Reviews, vol. 35, no. 1, pp.23-32. https://doi.org/10.7599/hmr.2015.35.1.23
  10. Kang, M., Im, I., Song, J. and Hwang, K.(2019), "Analyzing Traffic Impacts of Automated Vehicles on Expressway Weaving Sections-A Case Study using Seoul-Singal Ramp Area", Journal of Transport Research, vol. 26, no. 4, pp.33-47. https://doi.org/10.34143/jtr.2019.26.4.33
  11. Kim, H., Jeon, G., Jang, J. and Yoon, I.(2020), "Analysis of Factors Affecting Buses and Trucks Crash Severity Using meta-analysis", Journal of Korean Society of Transportation, vol. 38, no. 6, pp.520-535. https://doi.org/10.7470/jkst.2020.38.6.520
  12. Kim, Y., Jeong, H., Ko, W., Park, J. and Yun, I.(2022), "Analysis of the Effect of the Truck Platooning using a Meta-analysis", The Journal of the Korea Institute of Intelligent Transport Systems, vol. 21, no. 1, pp.76-90. https://doi.org/10.12815/kits.2022.21.1.76
  13. Ko, W., Park, S., So, J. and Yun, I.(2021), "Analysis of Effects of Autonomous Vehicle Market Share Changes on Expressway Traffic Flow using IDM", The Journal of the Korea Institute of Intelligent Transport Systems, vol. 20, no. 4, pp.13-27. https://doi.org/10.12815/kits.2021.20.4.13
  14. Lee, J.(2008), "Meta-analysis", Endocrinology and Metabolism, vol. 23, no. 6, pp.361-378.
  15. Lee, K., Park, S., Park, G., Park, J. and Yun, I.(2022), "Analysis of Factors Affecting the Take-over Time of Automated Vehicles Using a Meta-analysis", The Journal of the Korea Institute of Intelligent Transport Systems, vol. 21, no. 4, pp.167-189. https://doi.org/10.12815/kits.2022.21.4.167
  16. Lux Research(2021), Autonomous Vehicle Market Forecast: Demystifying the $50 Billion Opportunity, p.6.
  17. McGraw, K. O. and Wong, S. P.(1992), "A common language effect size statistic", Psychological Bulletin, vol. 111, no. 2, pp.361-365. https://doi.org/10.1037/0033-2909.111.2.361
  18. Mesionis, G., Brackstone, M. and Gravett, N.(2020), "Microscopic Modeling of the Effects of Autonomous Vehicles on Motorway Performance", Transport Research Report, vol. 2674, no. 11, pp.697-707. https://doi.org/10.1177/0361198120949243
  19. Oh, M., Youn, S., Jeong, E. and Oh, C.(2017), "Evaluating Traffic Safety Benefits of Electronic Stability Control System Using a meta-analysis: Focused on Accident Rates", Journal of Korean Society of Transportation, vol. 35, no. 4, pp.307-320. https://doi.org/10.7470/jkst.2017.35.4.307
  20. Papadoulis, A., Quddus, M. and Imprialou, M.(2019), "Evaluating the safety impact of connected and autonomous vehicles on motorways", Accident Analysis & Prevention, vol. 124, pp.12-22. https://doi.org/10.1016/j.aap.2018.12.019
  21. Park, I., Lee, J., Lee, J. and Hwang, K.(2015), "Impacts of Automated Vehicles on Freeway Traffic-flow - Focused on Seoul-Singal Basic Sections of GyeongBu Freeway", The Journal of the Korea Institute of Intelligent Transport Systems, vol. 14, no. 6, pp.21-36. https://doi.org/10.12815/kits.2015.14.6.021
  22. Perraki, G., Roncoli, C., Papamichail, I. and Papageorgiou, M.(2018), "Evaluation of a model predictive control framework for motorway traffic involving conventional and automated vehicles", Transport Research Part C: Emerging Technologies, vol. 92, pp.456-471. https://doi.org/10.1016/j.trc.2018.05.002
  23. Pillemer, D. and Light, R.(1980), "Synthesizing outcomes: How to use research evidence from many studies", Harvard Educational Review, vol. 50, no. 2, pp.176-195. https://doi.org/10.17763/haer.50.2.v755316522jkup33
  24. Postigo, I., Olstam, J. and Rydegren, C.(2021), "Effects on Traffic Performance Due to Heterogeneity of Automated Vehicles on Motorways: A Microscopic Simulation Study", Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems(VEHITS 2021), pp.142-151.
  25. Shin, W. J.(2015), "An Introduction of the Systematic Review and Meta-Analysis", Hanyang Medical Reviews, vol. 35, no. 1, pp.9-17. https://doi.org/10.7599/hmr.2015.35.1.9
  26. Shladover, S. E., Su, D. and Lu, X.(2012), "Impacts of Cooperative Adaptive Cruise Control on Freeway Traffic Flow Impacts of Cooperative Adaptive Cruise Control on Freeway Traffic Flow", Transport Research Record: Journal of Transport Research Board, vol. 2324, pp.63-70. https://doi.org/10.3141/2324-08
  27. Stogios, C., Kasraian, D., Roorda, M. J. and Hatzopoulou, M.(2019), "Simulating impacts of automated driving behavior and traffic conditions on vehicle emissions", Transport Research Part D, vol. 76, pp.176-192. https://doi.org/10.1016/j.trd.2019.09.020
  28. Sukennik, P., Lohmiller, J. and Schlaich, J.(2018), "Simulation-Based Forecasting the Impacts of Autonomous Driving", Proceedings of the International Symposium of Transport Simulation (ISTS'18) and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS'18), Matsuyama, Japan.
  29. Vander Werf, J., Shladover, S. E., Miller, M. A. and Kourjanskala, N.(2002), "Effects of Adaptive Cruise Control Systems on Highway Traffic Flow Capacity", Transportation Research Record: Journal of Transport Research Board, vol. 1800, issue 1, pp.78-84. https://doi.org/10.3141/1800-10
  30. Wolf, F. M.(1986), Meta-Analysis: Quantitative Methods for Research Synthesis, Sage Publication, Thousand Oaks.
  31. Yun, S., Ju, S. and Jeong, E.(2016), "Effectiveness Evaluation of Core Technologies for Automated Vehicle-highway Systems Based on a Meta-analysis", Transportation Technology and Policy, vol. 13, no. 4, pp.30-41.
  32. Zhong, Z., Lee, E. E., Nejad, M. and Lee, J.(2020), "Influence of CAV Clustering Strategies on Mixed Traffic Flow Characteristics: An Analysis of Vehicle Trajectory Data", Transport Research Part C: Emerging Technologies, vol. 115, 102611.