Uncertainty Propagation from the Cell Transmission Traffic Flow Model to Emission Predictions: A Data-Driven Approach

References

• Bai S, Chiu YCE, Niemeier DA (2007) A comparative analysis of using trip-based versus link-based traffic data for regional mobile source emissions estimation. Atmospheric Environment 41(35):7512–7523.Crossref, Google Scholar
• Bihorel S, Baudin M (2015) Neldermead: R port of the Scilab neldermead module. R package version 1.0-10, http://CRAN.R-project.org/package=neldermead.Google Scholar
• Chiou YC, Huang YF, Lin PC (2012) Optimal variable speed-limit control under abnormal traffic conditions. J. Chinese Inst. Engineers 35(3):299–308.Crossref, Google Scholar
• Cullen AC, Frey HC (1999) Probabilistic Techniques in Exposure Assessment: A Handbook for Dealing with Variability and Uncertainty in Models and Inputs (Springer Science and Business Media, New York).Google Scholar
• Daganzo CF (1994) The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory. Transportation Res. Part B: Methodological 28(4):269–287.Crossref, Google Scholar
• Daganzo CF (1995) The cell transmission model, part II: Network traffic. Transportation Res. Part B: Methodological 29(2):79–93.Crossref, Google Scholar
• DEFRA (2014) UK NAEI—National atmospheric emissions inventory. Carlisle, UK, http://naei.defra.gov.uk/.Google Scholar
• Department for Transport (2016) Traffic counts—Transport statistics. London, http://www.dft.gov.uk/traffic-counts/.Google Scholar
• Dervisoglu G, Gomes G, Kwon J, Horowitz R, Varaiya P (2009) Automatic calibration of the fundamental diagram and empirical observations on capacity. Transportation Res. Board 88th Annual Meeting, Washington, DC, Vol. 15.Google Scholar
• Eberhart RC, Kennedy J (1995) A new optimizer using particle swarm theory. Proc. 6th Internat. Sympos. Micro Machine Human Sci. Vol. 1 (IEEE, Piscataway, NJ), 39–43.Crossref, Google Scholar
• Feldman O, Maher M (2002) Optimisation of traffic signals using a cell transmission model. 34th Annual Universities’ Transport Study Group Conf., Napier University, Edinburgh.Google Scholar
• Frey HC, Burmaster DE (1999) Methods for characterizing variability and uncertainty: Comparison of bootstrap simulation and likelihood-based approaches. Risk Anal. 19(1):109–130.Crossref, Google Scholar
• Gkiotsalitis K, Chow A (2014) Significance of fundamental diagrams to first-order macroscopic traffic modelling. Internat. J. Transportation 2(2):15–32.Crossref, Google Scholar
• Gomes G, Horowitz R, Kurzhanskiy AA, Varaiya P, Kwon J (2008) Behaviour of the cell transmission model and effectiveness of ramp metering. Transportation Res. Part C: Emerging Tech. 16(4):485–513.Crossref, Google Scholar
• Hadiuzzaman M, Qiu TZ (2013) Cell transmission model based variable speed limit control for freeways. Canadian J. Civil Engrg. 40(1):46–56.Crossref, Google Scholar
• Hegyi A, De Schutter B, Hellendoorn J (2005) Optimal coordination of variable speed limits to suppress shock waves. IEEE Trans. Intelligent Transportation Systems 6(1):102–112.Crossref, Google Scholar
• Helbing D (1996) Gas-kinetic derivation of Navier-Stokes-like traffic equations. Physical Rev. E 53(3):2366–2381.Crossref, Google Scholar
• Hoogendoorn SP, Bovy PH (2001) State-of-the-art of vehicular traffic flow modelling. Proc. Inst. Mech. Engineers, Part I: J. Systems Control Engrg. 215(4):283–303.Crossref, Google Scholar
• Int Panis L, Broekx S, Liu R (2006) Modelling instantaneous traffic emission and the influence of traffic speed limits. Sci. Total Environment 371(1):270–285.Crossref, Google Scholar
• Kimms A, Maassen KC (2011) Optimization and simulation of traffic flows in the case of evacuating urban areas. OR Spectrum 33(3):571–593.Crossref, Google Scholar
• Kini MD, Frey HC (1997) Probabilistic evaluation of mobile source air pollution: Volume 1, probabilistic modeling of exhaust emissions from light duty gasoline vehicles Technical report, Department of Transportation Office of University Research, Washington, DC.Google Scholar
• Kühlwein J, Friedrich R (2000) Uncertainties of modelling emissions from road transport. Atmospheric Environment 34(27):4603–4610.Crossref, Google Scholar
• Li J, Chen QY, Wang H, Ni D (2012) Analysis of LWR model with fundamental diagram subject to uncertainties. Transportmetrica 8(6):387–405.Crossref, Google Scholar
• Li Z, Liu P, Xu C, Wang W (2016) Optimal mainline variable speed limit control to improve safety on large-scale freeway segments. Comput.-Aided Civil Infrastructure Engrg. 31(5):366–380.Crossref, Google Scholar
• Lighthill MJ, Whitham GB (1955a) On kinematic waves I: Flood movement in long rivers. Proc. Roy. Soc. London A: Math., Physical Engrg. Sci. 229(1178):281–316.Crossref, Google Scholar
• Lighthill MJ, Whitham GB (1955b) On kinematic waves II: A theory of traffic flow on long crowded roads. Proc. Roy. Soc. London A: Math., Physical Engrg. Sci. 229(1178):317–345.Crossref, Google Scholar
• Lin J, Ge YE (2006) Impacts of traffic heterogeneity on roadside air pollution concentration. Transportation Res. Part D: Transport Environment 11(2):166–170.Crossref, Google Scholar
• Liu S, De Schutter B, Hellendoorn H (2014) Integrated traffic flow and emission control based on FASTLANE and the multi-class VT-macro model. Proc. Eur. Control Conf. (ECC), Strasbourg, France, 2908–2913.Crossref, Google Scholar
• Lo HK, Szeto WY (2002) A cell-based dynamic traffic assignment model: Formulation and properties. Math. Comput. Modelling 35(7):849–865.Crossref, Google Scholar
• Loecher M, Ropkins K (2015) RgoogleMaps and Loa: Unleashing R graphics power on map tiles. J. Statist. Software 63(4):1–18 Crossref, Google Scholar
• Michalewicz Z (1994) GAs: What are they? Michalewicz Z, ed. Genetic Algorithms + Data Structures = Evolution Programs (Springer, Berlin Heidelberg), 13–31.Crossref, Google Scholar
• MIDAS (2016) MIDAS data. Mott MacDonald, Croydon, UK, https://www.midas-data.org.uk/.Google Scholar
• Morgan MG, Henrion M, Small M (1992) Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis (Cambridge University Press, New York).Google Scholar
• Muñoz L, Sun X, Sun D, Gomes G, Horowitz R (2004) Methodological calibration of the cell transmission model. Proc. Amer. Control Conf., Boston, Vol. 1, 798–803.Crossref, Google Scholar
• Namdeo A, Mitchell G, Dixon R (2002) TEMMS: An integrated package for modelling and mapping urban traffic emissions and air quality. Environ. Modelling Software 17(2):177–188.Crossref, Google Scholar
• Nejadkoorki F, Nicholson K, Lake I, Davies T (2008) An approach for modelling CO2 emissions from road traffic in urban areas. Sci. Total Environment 406(1):269–278.Crossref, Google Scholar
• Nelder JA, Mead R (1965) A simplex method for function minimization. Comput. J. 7(4):308–313.Crossref, Google Scholar
• Newell GF (1993) A simplified theory of kinematic waves in highway traffic, part I: General theory. Transportation Res. Part B: Methodological 27(4):281–287.Crossref, Google Scholar
• Newell GF (2002) A simplified car-following theory: A lower order model. Transportation Res. Part B: Methodological 36(3):195–205.Crossref, Google Scholar
• Ngoduy D (2011) Multiclass first-order traffic model using stochastic fundamental diagrams. Transportmetrica 7(2):111–125.Crossref, Google Scholar
• Ngoduy D, Maher MJ (2012) Calibration of second order traffic models using continuous cross entropy method. Transportation Res. Part C: Emerging Tech. 24:102–121.Crossref, Google Scholar
• Ni D, Leonard J, Guin A, Williams B (2004) Systematic approach for validating traffic simulation models. Transportation Res. Record: J. Transportation Res. Board 1876:20–31.Crossref, Google Scholar
• Ntziachristos L, Samaras Z, Eggleston S, Gorissen N, Hassel D, Hickman AJ, Joumard R, Rijkeboer R, White L, Zierock L (2000) Validation of road vehicle and traffic emission models, a review and meta-analysis: COPERT IV computer programme to calculate emissions from road transport, methodology and emissions factors, version 2.1. Technical Report 49, European Environment Agency, Copenhagen.Google Scholar
• Papageorgiou M, Kosmatopoulos E, Papamichail I (2008) Effects of variable speed limits on motorway traffic flow. Transportation Res. Record: J. Transportation Res. Board 2047:37–48.Crossref, Google Scholar
• Payne HJ (1971) Models of freeway traffic and control. Bekey GA, ed. Mathematical Models of Public Systems, Vol. 1 (Simulation Council, La Jolla, CA), 51–61.Google Scholar
• Poole A, Kotsialos A (2016) Swarm intelligence algorithms for macroscopic traffic flow model validation with automatic assignment of fundamental diagrams. Appl. Soft Comput. 38:134–150.Crossref, Google Scholar
• Poole AJ, Kotsialos A (2012) METANET model validation using a genetic algorithm. IFAC Proc. Volumes 45(24):7–12.Crossref, Google Scholar
• R Core Team (2015) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, http://www.R-project.org/.Google Scholar
• Rakha H, Ahn K (2004) Integration modelling framework for estimating mobile source emissions. J. Transportation Engrg. 130(2):183–193.Crossref, Google Scholar
• Richards PI (1956) Shock waves on the highway. Oper. Res. 4(1):42–51.Link, Google Scholar
• Samaranayake S, Glaser S, Holstius D, Monteil J, Tracton K, Seto E, Bayen A (2014) Real-time estimation of pollution emissions and dispersion from highway traffic. Comput.-Aided Civil Infrastructure Engrg. 29(7):546–558.Crossref, Google Scholar
• Samaras C, Tsokolis D, Toffolo S, Garcia-Castro A, Vock C, Ntziachristos L, Samaras Z (2014) Limits of applicability of COPERT model to short links and congested conditions. Proc. 20th Internat. Transport Air Pollution Conf., Graz, Austria, 1–11.Google Scholar
• Sarkar D (2008) Lattice: Multivariate Data Visualization with R (Springer, New York).Crossref, Google Scholar
• Shorshani MF, André M, Bonhomme C, Seigneur C (2015) Modelling chain for the effect of road traffic on air and water quality: Techniques, current status and future prospects. Environ. Modelling Software 64:102–123.Crossref, Google Scholar
• Spiliopoulou A, Kontorinaki M, Papageorgiou M, Kopelias P (2014) Macroscopic traffic flow model validation at congested freeway off-ramp areas. Transportation Res. Part C: Emerging Tech. 41:18–29.Crossref, Google Scholar
• Spiliopoulou A, Papamichail I, Papageorgiou M, Tyrinopoulos I, Chrysoulakis J (2015) Macroscopic traffic flow model calibration using different optimization algorithms. Transportation Res. Procedia 6:144–157.Crossref, Google Scholar
• Sumalee A, Zhong RX, Pan TL, Szeto WY (2011) Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment. Transportation Res. Part B: Methodological 45(3):507–533.Crossref, Google Scholar
• Treiber M, Kesting A (2012) Validation of traffic flow models with respect to the spatiotemporal evolution of congested traffic patterns. Transportation Res. Part C: Emerging Tech. 21(1):31–41.Crossref, Google Scholar
• Wismans L, Van Berkum E, Bliemer M (2011) Modelling externalities using dynamic traffic assignment models: A review. Transport Rev. 31(4):521–545.Crossref, Google Scholar
• Zhang L, Yin Y, Chen S (2013) Robust signal timing optimization with environmental concerns. Transportation Res. Part C: Emerging Tech. 29:55–71.Crossref, Google Scholar
• Zhong R, Chen C, Chow AH, Pan T, Yuan F, He Z (2015) Automatic calibration of fundamental diagram for first-order macroscopic freeway traffic models. J. Advanced Transportation 50(3):363–385.Crossref, Google Scholar
• Zhou X, Tanvir S, Lei H, Taylor J, Liu B, Rouphail NM, Frey HC (2015) Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies. Transportation Res. Part D: Transport Environment 37:123–136.Crossref, Google Scholar
• Zhu F, Lo HK, Lin HZ (2013) Delay and emissions modelling for signalised intersections. Transportmetrica B: Transport Dynam. 1(2):111–135.Crossref, Google Scholar