Estimating Pollutant Emissions Based on Speed Profiles at Urban Roundabouts: A Pilot Study

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1091)


The paper describes the pilot study conducted to assess the feasibility of the empirical approach utilizing vehicle trajectory data from a smartphone app and the Vehicle-Specific Power methodology to estimate pollutant emissions at urban roundabouts. The goal of this research phase is to acquire instantaneous speed data from a sample of six roundabouts located in the road network of the City of Palermo, Italy, and quantify emissions generated by the test vehicle through the examined roundabouts. For the case studies of roundabouts acceleration events in the circulating and exiting areas contributed to about 25% of the emissions for a given speed profile. More in general, the results from this research shed lights for further opportunities to examine infrastructural scenarios when decision makers require to assess changes in the design or operation of urban transportation systems.


Roundabout Pollutant emissions VSP methodology Smartphone app 


  1. 1.
    WHITE PAPER Roadmap to a Single European Transport Area – Towards a competitive and resource efficient transport system (2011).
  2. 2.
    Park, S., Lee, J., Lee, C.: State-of-the-art automobile emissions models and applications in North America and Europe for sustainable transportation. KSCE J. Civ. Eng. 20(3), 1053–1065 (2016)CrossRefGoogle Scholar
  3. 3.
    Song, G., Yu, L., Tu, Z.: Distribution characteristics of vehicle-specific power on urban restricted-access roadways. J. Transp. Eng. 138(2), 202–209 (2012)CrossRefGoogle Scholar
  4. 4.
    Giuffre, O., Grana, A., Giuffre, T., Marino, M.: Emission factors related to vehicle modal activity. Int. J. Sustain. Dev. Plan. 6(4), 447–458 (2011)CrossRefGoogle Scholar
  5. 5.
    Jiménez-Palacios, J.: Understanding and quantifying motor vehicle emissions with vehicle specific power and TILDAS remote sensing. Ph.D. dissertation. Massachusetts Institute of Technology, Cambridge. Mass. (1999)Google Scholar
  6. 6.
    Achour, H., Carton, J.G., Olabi, A.G.: Estimating vehicle emissions from road transport, case study: Dublin City. Appl. Energy 88, 1957–1964 (2011)CrossRefGoogle Scholar
  7. 7.
    Katsis, P., Ntziachristos, G.M.: Description of new elements in COPERT 4 v10.0 (12.RE.012.V1). EMISIA SA, Thessaloniki, Greece (2012)Google Scholar
  8. 8.
    Ntziachristos, L., Samaras, Z.: COPERT III: computer program to calculate emissions from road transport – Methodology and emissions factors (version 2.1). Technical report 49. European Environment Agency (2000)Google Scholar
  9. 9.
    Ahn, K., Rakha, H.: The effects of route choice decisions on vehicle energy consumption and emissions. Transp. Res. Part D 13(3), 151–167 (2008)CrossRefGoogle Scholar
  10. 10.
    Boulter, P.G., McCrae, I.S., Barlow, T.J.: A review of instantaneous emission models for road vehicles. Published Project Report 267. TRL (2007).
  11. 11.
    Negrenti, E.: The ‘Corrected Average Speed’ approach in ENEA’s TEE model: an innovative solution for the evaluation of the energetic and environmental impacts of urban transport policies. Sci. Total Environ. 235, 411–413 (1999)CrossRefGoogle Scholar
  12. 12.
    Ryu, B.Y., Jung, H.J., Bae, S.H.: Development of a corrected average speed model for calculating carbon dioxide emissions per link unit on urban roads. Transp. Res. Part D 34, 245–254 (2015)CrossRefGoogle Scholar
  13. 13.
    Ajtay, D., Weilenmann, M.: Static and dynamic instantaneous emission modelling. Int. J. Environ. Pollut. 22(3), 226–239 (2004)CrossRefGoogle Scholar
  14. 14.
    Fernandes, P., Pereira, S.R., Bandeira, J.M., Vasconcelos, L., Bastos Silva, A., Coelho, M.C.: Driving around turbo-roundabouts vs. conventional roundabouts: are there advantages regarding pollutant emissions? Int. J. Sustain. Transp. 10(9), 847–860 (2016)CrossRefGoogle Scholar
  15. 15.
    CMEM National Academies of Sciences, Engineering, and Medicine. Predicting Air Quality Effects of Traffic-Flow Improvements: Final Report and User’s Guide. The National Academies Press, Washington, DC (2005).
  16. 16.
    Kutz, M.: Environmentally Conscious Transportation. Wiley, New York (2008)CrossRefGoogle Scholar
  17. 17.
    Frey, H.C., Zhang, K., Rouphail, N.M.: Fuel use and emissions comparisons for alternative routes. Time of day. Road grade and vehicles based on in-use measurements. Environ. Sci. Technol. 42(7), 2483–2489 (2008)CrossRefGoogle Scholar
  18. 18.
    USEPA. Methodology for developing modal emission rates for EPA’s multiscale motor vehicle and equipment emission system (EPA420). North Carolina State University for USEPA, Ann Arbor, MI (2002)Google Scholar
  19. 19.
    Sontag, D., Gao, H.O.: The MOVES from MOBILE: preliminary comparisons of EPA’s current and future mobile emissions models. In: TRB 86th Annual Meeting, Washington D.C., USA, 21–25 January 2007Google Scholar
  20. 20.
    Yao, Z., Wei, H., Liu, H., Li, Z.: Statistical Vehicle Specific Power Profiling for Urban Freeways. Procedia Soc. Behav. Sci. 96, 2927–2938 (2013)CrossRefGoogle Scholar
  21. 21.
    Zhao, Q., Yu, L., Song, G.: Characteristics of VSP distribution of light-duty and heavy-duty vehicle on freeway. J. Transp. Syst. Eng. Inf. Technol. 15(3), 196–203 (2015)Google Scholar
  22. 22.
    Liao, R., Chen, X., Yu, L., Sun, X.: Analysis of emission effects related to drivers’ compliance rates for cooperative vehicle-infrastructure system at signalized intersections. Int. J. Environ. Res. Public Health 15(1), pii:E122 (2018)CrossRefGoogle Scholar
  23. 23.
    Coelho, M.C., Farias, T.L., Rouphail, N.M.: Effect of roundabout operations on pollutant emissions. Transp. Res. Part D Transp. Environ. 11(5), 333–343 (2006)CrossRefGoogle Scholar
  24. 24.
    Salamati, K., Coelho, M., Fernandes, P., Rouphail, N.M., Frey, H.C., Bandeira, J.: Emission estimation at multilane roundabouts: effect of movement and approach lane. Transp. Res. Rec. 2389, 12–21 (2014)CrossRefGoogle Scholar
  25. 25.
    Fernandes, P., Salamati, K., Rouphail, N., Coelho, M.: Identification of emission hotspots in roundabouts corridors. Transp. Res. Part D Transp. Environ. 37, 48–64 (2015)CrossRefGoogle Scholar
  26. 26.
    Fernandes, P., Coelho, M.: Making compact two-lane roundabouts effective for vulnerable road users: an assessment of transport-related externalities. In: Macioszek, E., Akçelik, R., Sierpiński, G. (eds.) Roundabouts as Safe and Modern Solutions in Transport Networks and Systems, vol. 52, pp. 99–111. Springer, Heidelberg (2018)CrossRefGoogle Scholar
  27. 27.
    Stogios, C., Saleh, M., Ganji, A., Tu, R., Xu, J., Roorda, M.J., Hatzopoulou, M.: Determining the effects of automated vehicle driving behavior on vehicle emissions and performance of an urban corridor. In: Transportation Research Board 97th Annual Meeting, Washington DC, United States, 7–11 January 2018Google Scholar
  28. 28.
    EMFAC2014 Version 1.0.7 User Guide. California Air Resource Board, Sacramento, California, April 2014.
  29. 29.
    Transport Emission Model for Line Sources (TREM) – Methodology- Technical report EIE/07/239/SI2.466287. Department of Environment and Planning, University of Aveiro.
  30. 30.
    Akçelik and Associates aaSIDRA User Guide, Version 2.0. Akcelik and Associates Pty Ltd., Melbourne, Australia (2002)Google Scholar
  31. 31.
    Jost, P., Hassel, D., Webber, F.-J.: Sonnborn: emission and fuel consumption modelling based on continuous measurements. Deliverable No. 7 DRIVE Project V1053. TUV Rhineland, Cologne (1992)Google Scholar
  32. 32.
    Coelho, M.C., Frey, C.H., Rouphail, N.M., Zhai, H., Pelkmans, L.: Assessing methods for comparing emissions from gasoline and diesel light-duty vehicles based on microscale measurements. Transp. Res. Part D Transp. Environ. 14, 91–99 (2009)CrossRefGoogle Scholar
  33. 33.
    Li, S., Zhu, K., van Gelder, B., Nagle, J., Tuttle, C.: Reconsideration of sample size requirements for field traffic data collection with global positioning system devices. Transp. Res. Rec. 1804, 17–22 (2002)CrossRefGoogle Scholar
  34. 34.
    Weilenmann, M., Soltic, P., Saxer, C., Forss, A.M., Heeb, N.: Regulated and unregulated diesel and cold start emissions at different temperature. Atmos. Environ. 39, 2433–2441 (2005)CrossRefGoogle Scholar
  35. 35.
    Mudgal, A., Hallmark, S., Carriquiry, A., Gkritza, K.: Driving behavior at a roundabout: a hierarchical Bayesian regression analysis. Transp. Res. Part D Transp. Environ. 26, 20–26 (2014)CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of EngineeringUniversity of PalermoPalermoItaly
  2. 2.University of Enna KoreEnnaItaly

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