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A Dynamic Network Loading Model for Simulation of Pollution Phenomena

  • Mauro Dell’Orco
Part of the Applied Optimization book series (APOP, volume 48)

Abstract

It is well known that traffic flows, vehicles speed and acceleration closely concern traffic pollution. Therefore, calculating these characteristics as precise as possible is really relevant when dealing with such a phenomena. Usual tools in computing the values of traffic characteristics are traffic assignment models. A relevant component of these models are networks loading models allowing to calculate link flows from path flows. Existing networks loading models can be divided into aggregate and disaggregate models (microsimulation models). The latter ones allow the car-following and then a precise calculation of traffic parameters but they need considerable computing resources. In this paper, a mesosimulation model has been developed to study the flows propagation on the network. Since the proposed model is disaggregate as for flow characteristics and aggregate as for links performances, it does not need great computing resources in calculating vehicular speed and acceleration. Therefore, utility of this model entirely appears when dealing with simulation of traffic pollution.

Keywords

Traffic pollution network loading models 

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References

  1. André M., Pronello C. (1997), «Relative influence of acceleration and speed on emissions under actual driving conditions», International Journal of Vehicle Design 18 No.3/4, 340-353Google Scholar
  2. Astarita V., (1996), «A continuous time link model for dynamic network loading based on travel time functions», Transportation and Traffic Theory (ed. Lesort), Pergamon, Oxford 79 - 102Google Scholar
  3. Astarita V., (2000), “La modellizzazione delle intersezioni nei modelli dinamici di simulazione dei traffico” in “Metodi e Tecnologie dell’Ingegneria dei Trasporti” — (G. E. Cantarella and F. Russo Eds.) - Laboratorio di Analisi dei Sistemi di Trasporto — Reggio Calabria - Collana Trasporti Franco AngeliGoogle Scholar
  4. Carey M. (1987), «Optimal time-varying flows on congested networks», Operations Research 35 No.5, 58-69Google Scholar
  5. Cascetta E., Cantarella G.E., Di Gangi M. (1991), «Evaluation of Control Strategies through aGoogle Scholar
  6. Doubly Dynamic Assignment Model», Transportation Research Rec. N.1306Google Scholar
  7. Cascetta E., Cantarella G.E. (1993), «Modelling dynamics in transportation networks: State of the art and future developments», Simulation Practice and Theory,65-91Google Scholar
  8. Dell’Orco M. (1997), Sviluppo di un modello di mesosimulazione peril caricamento dinamico delle reti - 6° Convegno SIDT - Bologna.Google Scholar
  9. Di Gangi M. (1992), Continuous flow approach in dynamic network loading,Second International CAPRI seminar on Urban Traffic Networks, Compendium Vol.l Horowitz J. (1982), Air quality analysis for urban transportation planning,MIT PressGoogle Scholar
  10. Joumard R., Jost P., Hickman A.J., Hassel D. (1994), Hot passenger car emission modelling as a function of instantaneous speed and acceleration,3rd International Symposium Transport and air pollution, INRETS (preprints).Google Scholar
  11. Isaksen L., Payne H.J. (1972), Simulation of freeway traffic control system, Simulation Council Proc. 2, 35 - 42. Simulation Councils, La Jolla, CaliforniaGoogle Scholar
  12. Leonard D.R., Gower P., Taylor N.B. (1989), «CONTRAM: Structure of the model», TRRL Research Report 178,CrowtorneGoogle Scholar
  13. Lighthill M.J., Whitham G.B. (1964), «An Introduction to Traffic Flow Theory», H.R.B. Special Report 79, Washington, D.C., 8 - 35Google Scholar
  14. Merchant D.K., Nemhauser G.L. (1978), «A model and an algorithm for the dynamic traffic assignment problems», Transportation Science 12 (3), 183-207Google Scholar
  15. Rathi A. K., Lieberman E. B., Yedlin M. (1987), «Enhanced FREFLO program: Modelling of congested environments.», Transportation Research Record 1112, 61 - 71Google Scholar
  16. Ross P. (1988), «Traffic dynamics», Transportation Research 22B N.6Google Scholar
  17. Wie B.W., Tobin R.L., Friesz T.L. (1994), «The Augmented Lagrangian Method for Solving Dynamic Network Traffic Assignment Models in Discrete Time», Transportation Science Vol. 28 N. 3, August 1994Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Mauro Dell’Orco
    • 1
  1. 1.Department of Highways and TransportationPolytechnic of BariItaly

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