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A Methodology to Consider Explicitly Emissions in Dynamic User Equilibrium Assignment

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Computer Aided Systems Theory – EUROCAST 2022 (EUROCAST 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13789))

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Abstract

This work presents a methodology to obtain Dynamic User Equilibrium (DUE) over a road network considering the exhausted gas effect of motorized traffic. On purpose, three emission models are integrated to the traffic simulator AIMSUN, and an entire modeling structure is proposed. The proposed methodology is tested on both a hypothetical test network and a real-world network in Istanbul, Turkey. With the use of dynamic traffic assignment components of AIMSUN, emissions are incorporated into dynamic cost functions. Furthermore, link travel times are considered in the dynamic cost functions in conjunction with emissions. The DUE condition is converged according to dynamic cost functions. Results with the employment of different emission models on a real road network are compared and discussed.

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References

  1. United States Environmental Protection Agency, Sources of greenhouse gas emissions. https://www.epa.gov/ghgemissions/sources-greenhouse-gas-emissions. Accessed 06 Aug 2020

  2. WHO: Reducing Global Health Risks through Mitigation of shortlived climate pollutants - scoping report for policy makers. World Health Organization (2015)

    Google Scholar 

  3. Wang, Y., Szeto, W.Y., Han, K., Friesz, T.L.: Dynamic traffic assignment: a review of the methodological advances for environmentally sustainable road transportation applications. Transp. Res. Part B 111, 370–394 (2018)

    Article  Google Scholar 

  4. Istanbul Technical University, ITU Climate Action Plan, 2021–2026. https://urldefense.com/v3/__https://sustainability.itu.edu.tr/docs/librariesprovider76/itu-files/istanbul-technical-university-2021-2026-climate-action-plan-cap.pdf__;!!NLFGqXoFfo8MMQ!tE4_WBBfjdnkRqCHRVZZN612fCZWmIcU2PH2EmJ56SawY8HSFV2OJScRvKyn8PaImh_CiaW9SzP2sF3mwCT4k8woj9Q$. Accessed 26 June 2022

  5. Tzeng, G.H., Chen, C.H.: Multiobjective decision making for traffic assignment. IEEE Trans. Eng. Manag. 40(2), 180–187 (1993)

    Article  Google Scholar 

  6. Ahn, K., Rakha, H.: The effects of route choice decisions on vehicle energy consumption and emissions. Transp. Res. Part D Environ. 13(3), 151–167 (2008)

    Article  Google Scholar 

  7. EPA: User’s Guide to Mobile6, Mobile Source Emission Factor Model. EPA420-R-02-001, Ann Arbor, Michigan (2002)

    Google Scholar 

  8. Aziz, H.M.A., Ukkusuri, S.V.: Unified framework for dynamic traffic assignment and signal control with cell transmission model. Transp. Res. Rec. 2311, 73–84 (2012)

    Article  Google Scholar 

  9. Ahn, K., Rakha, H.: Network-wide impacts of eco-routing strategies: a large-scale case study. Transp. Res. Part D Environ. 25, 119–130 (2013)

    Article  Google Scholar 

  10. Kolak, O.I., Feyzioglu, O., Birbil, ŞI., Noyan, N., Yalcindag, S.: Using emission functions in modeling environmentally sustainable traffic assignment policies. J. Ind. Manag. Optim. 9(2), 341–363 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  11. Patil, G.R.: Emission-based static traffic assignment models. Environ. Model. Assess. 21(5), 629–642 (2015). https://doi.org/10.1007/s10666-015-9498-7

    Article  MathSciNet  Google Scholar 

  12. California Air Resource Board: EMFAC2007 version 2.3 User’s guide: calculating emission inventories for vehicles in California (2007)

    Google Scholar 

  13. Khiyami, A., Keimer, A., Alexandre, B.: Structural analysis of specific environmental traffic assignment problems. In: Proceedings of 21st International Conference on Intelligent Transportation Systems, Hawaii, USA (2018)

    Google Scholar 

  14. Smit, R., Ntziachristos, L., Boulter, P.: Validation of road vehicle and traffic emission models–a review and meta-analysis. Atmos. Environ. 44(25), 2943–2953 (2010)

    Article  Google Scholar 

  15. Wang, Y., Szeto, W.Y., Han, K., Friesz, T.L.: Dynamic traffic assignment: a review of methodological advances for environmentally sustainable road transportation applications. Transp. Res. Part B Methodol. 111, 370–394 (2018)

    Article  Google Scholar 

  16. Barth, M., Boriboonsomsin, K.: Real-world carbon dioxide impacts of traffic congestion. Transp. Res. Rec. 2058(1), 163–171 (2008)

    Article  Google Scholar 

  17. Wang, Z., Wu, G., Scora, G.: MOVESTAR: an open-source vehicle fuel and emission model based on USEPA MOVES. https://github.com/ziranw/MOVESTAR-Fuel-and-Emission-Model. Accessed 26 June 2022

  18. QuARTET: Assessment of current tools for environment assessment in QUARTET. DRIVE II Project V2018: QUARTET (1992)

    Google Scholar 

  19. Friesz, T.L., Bernstein, D., Smith, T., Tobin, R., Wie, B.: A variational inequality formulation of the dynamic network user equilibrium problem. Oper. Res. Int. J. 41(1), 80–91 (1993)

    MathSciNet  MATH  Google Scholar 

  20. Han, K., Eve, G., Friesz, T.L.: Computing dynamic user equilibria on large-scale networks with software implementation. Netw. Spat. Econ. 19(3), 869–902 (2019)

    Article  MATH  Google Scholar 

  21. AIMSUN: Aimsun Next Version 20 User’s Manual TSS—transport simulation systems, Barcelona, Spain (2020). www.aimsun.com

  22. Chiu, Y.C., et al.: Dynamic Traffic Assignment: A Primer. Transportation Research Board: Transportation Network Modeling Committee, Washington, DC (2011)

    Google Scholar 

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Acknowledgments

This work is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under Project 218M307.

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Authors and Affiliations

  1. ITU ITS Research Lab, Technical University of Istanbul (ITU), 34469, Istanbul, Turkey

    Mehmet Ali Silgu, Ismet Goksad Erdagi, Selin Hulagu, Sercan Akti, Hazal Akova, Gorkem Akyol, Sadullah Goncu, Gokhan Goksu & Hilmi Berk Celikoglu

  2. Department of Civil Engineering, Technical University of Istanbul, 34469, Istanbul, Turkey

    Hilmi Berk Celikoglu

  3. Department of Civil Engineering, Bartın University, 74100, Bartın, Turkey

    Mehmet Ali Silgu

  4. Department of Civil Engineering, Fatih Sultan Mehmet University, 34445, Istanbul, Turkey

    Sadullah Goncu

  5. Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA, USA

    Ismet Goksad Erdagi

Authors
  1. Mehmet Ali Silgu
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  2. Ismet Goksad Erdagi
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  7. Sadullah Goncu
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  9. Hilmi Berk Celikoglu
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Corresponding author

Correspondence to Mehmet Ali Silgu .

Editor information

Editors and Affiliations

  1. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University, Linz, Oberösterreich, Austria

    Franz Pichler

  3. Department of Computer Science and Institute of Cybernetics, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Silgu, M.A. et al. (2022). A Methodology to Consider Explicitly Emissions in Dynamic User Equilibrium Assignment. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2022. EUROCAST 2022. Lecture Notes in Computer Science, vol 13789. Springer, Cham. https://doi.org/10.1007/978-3-031-25312-6_42

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  • DOI: https://doi.org/10.1007/978-3-031-25312-6_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-25311-9

  • Online ISBN: 978-3-031-25312-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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