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Advanced Impact Integration Platform for Cooperative Road Use

  • Jorge M. Bandeira
  • Claudio Guarnaccia
  • Paulo Fernandes
  • Margarida C. Coelho
Article

Abstract

In order to improve networks efficiency, a considerable number of studies has been addressing the potential of eco-friendly assignment solutions as alternative approaches to reduce emissions and/or fuel use. So far the majority of studies generally assumes that the most eco-friendly solutions are the ones that minimize the absolute amount of emissions produced along a certain trip. In this work a platform based on both empirical GPS data and microscopic simulation models of traffic, emissions, noise, and road safety was developed to examine in depth 4 routes of an origin-destination pair over a Portuguese city. In addition to the integrated externalities assessment based on state of the art techniques, a novelty of this work was the preliminary inclusion of social criteria in defining sustainable assignment solutions.

This paper provides new insights about sustainable traffic management issues and addresses multiple novel route choice indicators. Specifically we found that the relative variation of the individual costs and total pollution produced among 4 routes varies to a factor of 1.4 while the variation of the potentially exposed population ranges up to a factor of 10. The main results confirm the need to take into account real-time urban activity patterns in order to effectively implement sustainable traffic management measures.

Keywords

Sustainable traffic management Eco-routing Pollutant emissions Noise 

Notes

Acknowledgments

This work was partially funded by FEDER Funds and by National Funds through FCT – Portuguese Science and Technology Foundation within the project PTDC/EMS-TRA/0383/2014, and by the Strategic Project UID-EMS-00481-2013. J. Bandeira acknowledges the support of FCT for the Scholarship SFRH/BPD/100703/2014 and to the Project CISMOB (PGI01611), funded by the Interreg Europe Programme. P. Fernandes also acknowledges the support of the Portuguese Science and Technology Foundation (FCT) – Scholarship SFRH/BD/87402/2012.

References

  1. 1.
    ACAP: Automotive Industry Statistics, 2010 edn,. Retrieved from http://www.acap.pt/ (2016)
  2. 2.
    Ahn K., Rakha H.A.: Network-wide impacts of eco-routing strategies: a large-scale case study. Transp. Res. Part D: Transp. Environ. 25, 119–130 (2013)CrossRefGoogle Scholar
  3. 3.
    Ahn K.G., Rakha H.: The effects of route choice decisions on vehicle energy consumption and emissions. Transportation research part D-transport and Environment. 13, 151–167 (2008)CrossRefGoogle Scholar
  4. 4.
    Bandeira, J.M., Carvalho, D.O., Khattak, A.J., Rouphail, N.M., Fontes, T., Fernandes, P., … Coelho, M.C.: Empirical assessment of route choice impact on emissions over different road types, traffic demands, and driving scenarios. Int. J. Sustain. Transp. 10(3), 271–283. doi: 10.1080/15568318.2014.901447 (2016)
  5. 5.
    Bandeira J.M., Pereira S.F., Fontes T., Fernandes P., Khattak A.J., Coelho M.C.: Assessing the importance of vehicle type for the implementation of eco-routing systems. Transport research Procedia. 2–4 (2014)Google Scholar
  6. 6.
    Bandeira J.M., Almeida T.G., Khattak A.J., Rouphail N.M., Coelho M.C.: Generating emissions information for route selection: experimental monitoring and routes characterization. J. Intell. Transp. Syst. 17, 3–17 (2013)CrossRefGoogle Scholar
  7. 7.
    Barth, M., Boriboonsomsin, K., Vu, A.: Environmentally-Friendly Navigation. In: Proceedings of the 2007 I.E. Intelligent Transportation Systems Conference (2007)Google Scholar
  8. 8.
    Beelen R., Hoek G., van den Brandt P.A., Goldbohm R.A., Fischer P., Schouten L.J., Jerrett M., Hughes E., Armstrong B., Brunekreef B.: Long-term effects of traffic-related air pollution on mortality in a Dutch cohort (NLCS-AIR study). Environ. Health Perspect. 116, 196–202 (2007)CrossRefGoogle Scholar
  9. 9.
    Boriboonsomsin K., Joseph D., Barth M.: An Examination of the Attributes and Value of Eco - Friendly Route Choices. Transportation Research Record, Journal of the Transportation Research Board. 20427, 13–25 (2014)CrossRefGoogle Scholar
  10. 10.
    Bühlmann, E., Sandberg, U., Mioduszewski, P.: Speed dependency of temperature effects on road traffic noise. Internoise (2015)Google Scholar
  11. 11.
    CMA: City of Aveiro [WWW Document]. URL www.cm-aveiro.pt (2015)
  12. 12.
    Coelho, M.C., Fontes, T., Bandeira, J.M., Pereira, S.R., Tchepel, O., Dias, D., Sá, E., Amorim, J.H., Borrego, C., 2013. Assessment of potential improvements on regional air quality modelling related with implementation of a detailed methodology for traffic emission estimation. The Science of the total environment 470-471C, 127–137.Google Scholar
  13. 13.
    Coelho M.C., Frey H.C., Rouphail N.M., Zhai H., Pelkmans L.: Assessing methods for comparing emissions from gasoline and diesel light-duty vehicles based on microscale measurements. Transportation research part D-transport and Environment. 14, 91–99 (2009)CrossRefGoogle Scholar
  14. 14.
    European Commission: Roadmap to a Single European Transport Area - Transport Matters [WWW Document]. URL http://ec.europa.eu/transport/strategies/facts-and-figures/transport-matters/index_en.htm (2014)
  15. 15.
    European Commission – EC: EG FTF - 1st Report of the Expert Group: Future Transport Fuels (2011)Google Scholar
  16. 16.
    European Environmental Agency – EEA: European Environment Agency. EMEP/EEA air pollutant emission inventory guidebook (2013)Google Scholar
  17. 17.
    Ferguson E.M., Duthie J., Travis Waller S.: Comparing delay minimization and emissions minimization in the network design problem. Computer-aided civil and infrastructure Engineering. 27, 288–302 (2012)CrossRefGoogle Scholar
  18. 18.
    Finkelstein M.M., Jerrett M., Sears M.R.: Traffic air pollution and mortality rate advancement periods. Am. J. Epidemiol. 160, 173–177 (2004)CrossRefGoogle Scholar
  19. 19.
    Folberth G.A., Hauglustaine D.A., Lathière J., Brocheton F.: Interactive chemistry in the Laboratoire de Météorologie Dynamique general circulation model: model description and impact analysis of biogenic hydrocarbons on tropospheric chemistry. Atmos. Chem. Phys. 6, 2273–2319 (2006)CrossRefGoogle Scholar
  20. 20.
    Fontes T., Fernandes P., Rodrigues H., Bandeira J.M., Pereira S.R., Khattak A.J., Coelho M.C.: Are HOV/eco-lanes a sustainable option to reducing emissions in a medium-sized European city? Transp. Res. A Policy Pract. 63, 93–106 (2014)CrossRefGoogle Scholar
  21. 21.
    Frey H.C., Zhang K.S., 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, 2483–2489 (2008)CrossRefGoogle Scholar
  22. 22.
    Garg N., Maji S.: A critical review of principal traffic noise models: strategies and implications. Environ. Impact Assess. Rev. 46, 68–81 (2014)CrossRefGoogle Scholar
  23. 23.
    Gettman, D., Pu, L., Sayed, T., Shelby, S.: Surrogate safety assessment model and validation: final report. FHWA-HRT-08-051, FHWA (2008)Google Scholar
  24. 24.
    Guarnaccia C., Nikos E., Mastorakis, Quartieri J., T.L.L.L.: A Comparison between Traffic Noise Experimental Data and Predictive Models Results. International Journal of Mechanics. 5, 379–386 (2011)Google Scholar
  25. 25.
    Guarnaccia C.: Advanced Tools for Traffic Noise Modelling and Prediction noise. WSEAS Transactions on Systems. 12, 121–130 (2013)Google Scholar
  26. 26.
    Guo L., Huang S., Sadek A.W.: An evaluation of environmental benefits of time-dependent green routing in the greater buffalo–Niagara region. J. Intell. Transp. Syst. 17, 18–30 (2013)CrossRefGoogle Scholar
  27. 27.
    Gwo-Hshiung T., Chien-Ho C.: Multiobjective decision making for traffic assignment. IEEE Trans. Eng. Manag. 40, 180–187 (1993)CrossRefGoogle Scholar
  28. 28.
    Hale D.: How Many Netsim Runs Are Enough? McTrans. 11, 1–9 (1997)Google Scholar
  29. 29.
    HEI: Traffic-related air pollution: a critical review of the literature on emissions, exposure, and health effects Special Report, Health Effects Institute (2010)Google Scholar
  30. 30.
    Hoek G., Brunekreef B., Goldbohm S., Fischer P., Van Den Brandt P.A.: Association between mortality and indicators of traffic-related air pollution in the Netherlands: a cohort study. Lancet. 360, 1203–1209 (2002)CrossRefGoogle Scholar
  31. 31.
    Hughes B.P., Newstead S., Anund A., Shu C.C., Falkmer T.: A review of models relevant to road safety. Accid. Anal. Prev. 74, 250–270 (2015)CrossRefGoogle Scholar
  32. 32.
    Iannone G., Guarnaccia C., Quartieri J.: Speed Distribution Influence in Road Traffic Noise Prediction. 12, 493–501 (2013)Google Scholar
  33. 33.
    Kephalopoulos, Stylianos Paviotti, M., Anfosso-Lédée, F.: Common Noise Assessment Methods in Europe (CNOSSOS-EU) (2012)Google Scholar
  34. 34.
    Kickhöfer B., Kern J.: Pricing local emission exposure of road traffic: an agent-based approach. Transp. Res. Part D: Transp. Environ. 37, 14–28 (2015)CrossRefGoogle Scholar
  35. 35.
    Lelong, J.: Vehicle noise emission: evaluation of tyre/road-and motornoise contributions,. In: Proceedings of Internoise 99 – The 1999 International Congress on Noise Control Engineering. Fort Lauderdale, pp. 203–208 (1999)Google Scholar
  36. 36.
    Levin, M.W., Jafari, E., Shah, R., Ruiz-Juri, N., Mouskos, K.C.:A Dynamic Traffic Assignment Framework to Assess the Short-Term Network-Level Impacts of Eco-Routing Strategies. TRB 93rd Annual Meeting Compendium of Papers (2014)Google Scholar
  37. 37.
    Minett, C., Arem, B. van, Kuijpers, S.: Eco-routing: comparing the fuel consumption of different routes between an origin and destination using field test speed profiles and synthetic speed profiles. In: IEEE Forum on Integrated and Sustainable Transportation Systems June 29–July 1, 2011. Vienna (2011)Google Scholar
  38. 38.
    NoiseInEU: No!se in EU [WWW Document] (2015)Google Scholar
  39. 39.
    OCDE: The Cost of Air Pollution. OCDE Publishing, Paris (2014)Google Scholar
  40. 40.
    Peeters, B., Blokland, G. V.: The noise emission model for European road traffic deliverable 11 of the IMAGINE project. Document identity: IMA55TR-060821-MP10. [WWW document] URL https://www.mp.nl/sites/all/files/publicaties/IMA55TR-060821-MP10%20-%20IMAGINE%20Deliverable%20D11.pdf (2007)
  41. 41.
    Pereira, S.R., Fontes, T., Bandeira, J.M., Fernandes, P., Coelho, M.C.: SmartDecision: A Route Choice App Based on Eco-Friendly Criteria. In: TRB 94th Annual Meeting Compendium of Papers (2014)Google Scholar
  42. 42.
    PTV: VISSIM 5.30-05 User Manual. Planung Transport Verkehr AG. Karlsruhe Germany (2011)Google Scholar
  43. 43.
    Shilton, S.J., Ledee, F.A., van Leeuwen, H.: Conversion of existing road source data to use. In: Proceedings of the 2015 Euronoise Conference (2015)Google Scholar
  44. 44.
    Smit R., Brown A.L., Chan Y.C.: Do air pollution emissions and fuel consumption models for roadways include the effects of congestion in the roadway traffic flow? Environ. Model Softw. 23, 1262–1270 (2008)CrossRefGoogle Scholar
  45. 45.
    UN, 2014. World Urbanization Prospects - The 2014 Revision, ST/ESA/SER.A/352. New York, UN.Google Scholar
  46. 46.
    United Nations: United Nations Environment Programme [WWW Document]. URL http://www.unep.org/urban_environment/issues/urban_air.asp (2014)
  47. 47.
    VTPI: Transportation Cost and Benefit Analysis II – Noise Costs [WWW document]. URL http://www.vtpi.org/tca/ pp 5.11.1-5-11.16 (2012)
  48. 48.
    VTPI: Transportation Cost and Benefit Analysis II – Travel Time Costs [WWW document]. URL http://www.vtpi.org/tca/ pp 5.2.1 -5.2.24 (2013a)
  49. 49.
    VTPI: Transportation Cost and Benefit Analysis II – Air Pollution Costs. Transportation Cost and Benefit Analysis. 1–33 (2013b)Google Scholar
  50. 50.
    Wismans L., Van Berkum E., Bliemer M.: Modelling externalities using dynamic traffic assignment models: a review. Transp. Rev. 31, 521–545 (2011)CrossRefGoogle Scholar
  51. 51.
    Wismans L., Van Berkum E., Bliemer M.: Effects of Optimizing Externalities Using Cooperating Dynamic Traffic Management Measures on Network Level. J. Intell. Transp. Syst. 17(1), 65–77. doi: 10.1080/15472450.2012.716639 (2013)
  52. 52.
    Zhang Y.L., Lv J.P., Ying Q.: Traffic assignment considering air quality. Transportation research part D-transport and Environment. 15, 497–502 (2010)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Jorge M. Bandeira
    • 1
  • Claudio Guarnaccia
    • 2
  • Paulo Fernandes
    • 1
  • Margarida C. Coelho
    • 1
  1. 1.Centre for Mechanical Technology and Automation, Department of Mechanical EngineeringUniversity of AveiroAveiroPortugal
  2. 2.Department of Industrial EngineeringUniversity of SalernoFiscianoItaly

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