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Comparing the Conversion Effects of Toll Operations for Seoul Tollgate Using Arena

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Methods and Applications for Modeling and Simulation of Complex Systems (AsiaSim 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1636))

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Abstract

Smart Tolling, which is believed to improve traffic flow when applied, was scheduled to be introduced in 2020 but has been delayed owing to labor issues. Instead of the Smart Tolling, Seoul Tollgate implemented Multi-Lane Hi-pass, which improved Hi-pass. The consequences of transitioning from the PAST model, which operated with toll collection system (TCS) and Hi-pass lanes, to the CURRENT model, which operated with Multi-Lane Hi-pass, TCS, and Hi-pass, were compared in this study, which referred to earlier research. In addition, the effects of switching from the CURRENT model to Smart Tolling were compared. The three toll operation models were implemented using Arena simulation software. Furthermore, 21 scenarios were designed to supplement the limitations of traffic simulation tools by expressing real-life conditions such as driver skills and weather conditions. Based on the time duration and level of congestion, the effect of conversion from the PAST to the CURRENT system was approximately 7.35% on average in the experiment. Converting from the CURRENT system to the Smart Tolling system can be estimated to enhance traffic throughput by approximately 24%.

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Notes

  1. 1.

    Public data portal for Expressway Homepage: http://data.ex.co.kr.

  2. 2.

    Construction Digital Library Homepage: https://www.codil.or.kr.

References

  1. Agarwal, M., Maze, T., Souleyrette, R.: Impact of weather on urban freeway traffic flow characteristics and facility capacity. In: Proceedings of the 2005 Mid-Continent Transportation Research Symposium, Ames, Iowa (2005)

    Google Scholar 

  2. Cheon, S.H., Rho, J.H.: Development of a traffic simulation model analyzing the effects of highway incidents using the CA (Cellular Automata) model. J. Korean Soc. Transp. 19(6), 219–227 (2001)

    Google Scholar 

  3. Digitaltimes Homepage. http://www.dt.co.kr/contents.html?article_no=2018062502101031650001. Accessed 03 Apr 2021

  4. Hong, S.M., Oh, C., Yang, C.H., Jeon, W.H.: Effects of snowfall intensity on freeway travel speed: focused on Seohaean Freeway. Int. J. Highw. Eng. 14(4), 93–101 (2012)

    Article  Google Scholar 

  5. Kelton, D.W., Sadowski, R., Zupick, N.: Simulation with Arena, 6th edn. McGraw-Hill Education, New York (2014)

    Google Scholar 

  6. Korea Expressway Corporation: A Study on commercialization and evaluation of SMART Tolling system in case of more than 4 lanes, Korea Expressway Corporation (2017)

    Google Scholar 

  7. Korea Expressway Corporation: A Study on the Policy of Expressway Tolls. Korea Expressway Corporation (2010)

    Google Scholar 

  8. Korea Expressway Corporation: Road Design Guidelines Vol. 1: Road Planning and Geometry. Korea Expressway Corporation (2020)

    Google Scholar 

  9. Korea Institute of Construction Technology, Korea Transport Institute: Final Report on revision and supplementation of the Road Capacity Manual (Second year). Ministry of Land, Transport and Maritime Affairs (2011)

    Google Scholar 

  10. Korea Transport Institute: Methodology for the Estimation of Non-Recurrent Traffic Congestion Costs. Korea Transport Institute (2009)

    Google Scholar 

  11. Korea Transport Institute: Research for Traffic Model Revision Affected by ITS Operation: Case Study on Road Capacity Improvement. Korea Transport Institute (2013)

    Google Scholar 

  12. Kwak, H.Y., Joh, C.H.: A study on the impact of rainfall and traffic volume on traffic accidents: a case of Donghae and Yeongdong Expressways. J. Clim. Res. 10(3), 263–272 (2015)

    Article  Google Scholar 

  13. Lee, S.W., Oh, H.S.: Communication technology of smart highway. Inf. Commun. Mag. 27(11), 28–35 (2010)

    Google Scholar 

  14. Lee, U.J., Kim, S.T., Kim, C.G., Park, J.H., Park, G.H.: Next generation tolling system with multi-lane and non-stop (SMART Tolling). Korean Soc. Road Eng. 16(1), 46–50 (2014)

    Google Scholar 

  15. Rossetti, M.D.: Simulation Modeling and Arena, 1st edn. Wiley, Hoboken (2009)

    MATH  Google Scholar 

  16. Maze, T.H., Agarwal, M., Burchett, G.: Whether weather matters to traffic demand, traffic safety, and traffic operations and flow. J. Transp. Res. Board 1948(1), 170–176 (2006)

    Article  Google Scholar 

  17. Ministry of Land, Infrastructure and Transport Homepage. https://www.molit.go.kr/USR/NEWS/m_71/dtl.jsp?id=95078761. Accessed 20 May 2021

  18. Ministry of Land, Infrastructure and Transport Homepage. https://www.molit.go.kr/USR/NEWS/m_71/dtl.jsp?id=95083677. Accessed 21 Feb 2021

  19. Ministry of Land, Infrastructure and Transport Homepage. https://www.molit.go.kr/USR/NEWS/m_71/dtl.jsp?lcmspage=1&id=95073893. Accessed 06 Feb 2021

  20. Ministry of Land, Infrastructure and Transport Homepage. https://www.molit.go.kr/USR/NEWS/m_72/dtl.jsp?id=95083240. Accessed 07 Mar 2021

  21. Ministry of Land, Infrastructure and Transport: Implementation plan for intelligent transportation system in 2020. South Korea (2020)

    Google Scholar 

  22. Ministry of Land, Infrastructure and Transport: Roadway manual. South Korea (2020)

    Google Scholar 

  23. National Academies of Sciences, Engineering, and Medicine: Incorporating travel time reliability into the highway capacity manual. The National Academies Press, Washington, DC (2014)

    Google Scholar 

  24. Noh, S.-M., Kang, H.-S., Jang, S.-Y.: Improving traffic flow at a highway tollgate with ARENA: focusing on the Seoul Tollgate. In: Li, L., Hasegawa, K., Tanaka, S. (eds.) AsiaSim 2018. CCIS, vol. 946, pp. 501–510. Springer, Singapore (2018). https://doi.org/10.1007/978-981-13-2853-4_39

    Chapter  Google Scholar 

  25. Noh, S.M.: A study on the design and development of the Smart Tolling simulator at the Seoul Tollgate using ARENA. Ph.D. dissertation, Seoul National University of Science and Technology, Seoul, South Korea (2021)

    Google Scholar 

  26. Prevedouros, P.D., Kongsil, P.: Synthesis of the effects of wet conditions on highway speed and capacity. University of Hawaii at Manoa, Honolulu. Hawaii (2003)

    Google Scholar 

  27. Sin, H.G., Nam, D.H.: Optimum speed simulation for electronic toll collection. J. Inst. Internet Broadcast. Commun. 13(3), 87–92 (2013)

    Article  Google Scholar 

  28. Song, S.G., Ham, E.H., Jin, J.H., Go, M.G., Baek, H.S.: Analysis of the improvement effect to free-flow tolling system on expressway. Transp. Technol. Policy 13(4), 51–56 (2016)

    Google Scholar 

  29. Transportation Research Board: Highway capacity manual. Transportation Research Board, Washington, DC (2000)

    Google Scholar 

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Acknowledgement

This study was supported by the Research Program funded by the Seoul National University of Science and Technology.

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Authors and Affiliations

  1. Korea Employment Information Service, Chungcheongbuk-do, Korea

    Seung-Min Noh

  2. Seoul National University of Science and Technology, Seoul, Korea

    Seong-Yong Jang

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  1. Seung-Min Noh
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Correspondence to Seong-Yong Jang .

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Editors and Affiliations

  1. Ajou University, Suwon, Korea (Republic of)

    Byeong-Yun Chang

  2. Hanbat National University, Daejeon, Korea (Republic of)

    Changbeom Choi

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Noh, SM., Jang, SY. (2022). Comparing the Conversion Effects of Toll Operations for Seoul Tollgate Using Arena. In: Chang, BY., Choi, C. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2021. Communications in Computer and Information Science, vol 1636. Springer, Singapore. https://doi.org/10.1007/978-981-19-6857-0_4

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  • DOI: https://doi.org/10.1007/978-981-19-6857-0_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-6856-3

  • Online ISBN: 978-981-19-6857-0

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