Effects of Data Accuracy in Aggregate Travel Demand Models Calibration with Traffic Counts

  • Michele Ottomanelli
Part of the Applied Optimization book series (APOP, volume 48)


This paper concerns with aggregate calibration of urban travel demand model parameters from traffic counts. A bi-level sequential Non-linear Generalised Least Square Estimator (NGLS) has been proposed to calibrate a travel demand model. The first aim was to find out the effects of the required input data accuracy assumptions on the model calibration. The second aim was to show the possibility to improve model link flows estimation performance even if the starting demand model was properly calibrated by using expensive disaggregate data. An experimental analysis was carried out on a real middlesized town: the model was calibrated and validated under different “a priori” assumptions on data accuracy level of the starting data The employed data were a traffic counts set and a maximum likelihood starting estimate of the travel demand model parameters.

Key words

NGLS estimator travel demand models calibration traffic counts 


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  1. Bell, M.G.H. (1983). The estimation of an Origin-Destination matrix from traffic counts. Transportation Science, 31: 198–217CrossRefGoogle Scholar
  2. Ben Akiva, M., Lerman, S.R. (1987). Discrete Choice Analysis. MIT Press, Cambridge, MA Cascetta, E.(1984). Estimation of trip matrices from traffic counts and survey data: a generalized leas squares estimator. Transportation Research, 18B: 289–299Google Scholar
  3. Cascetta, E. (1986). A Class of Travel Demand Estimator using Traffic Flows. CRT Publication No. 375. Universitè de Montreal, Montreal, CanadaGoogle Scholar
  4. Cascetta, E., Nguyen S. (1986). A unified framework for estimating or updating Origin-Destination matrices from traffic counts“. Transportation Research, 22B: 437–455MathSciNetGoogle Scholar
  5. Cascetta E., Nuzzolo, A., Velardi, V. (1993). A system of models for the evaluation of integrated traffic planning and control policies. Workshop Integration Problems in Urban Transportation Planning and Management Systems. Capri, 28–29 October 1993Google Scholar
  6. Cascetta E., Nuzzolo, A., Velardi, V, (1986). Un’analisi sperimentale dei modelli di assegnazione alle reti urbane di trasporto privato. Proc. of IV National Conference of PFTCNR, Torino (Italy)Google Scholar
  7. Cascetta, E. (1998). Teoria e Metodi dell’Ingegneria dei Sistemi di Trasporto. UTET, Italy Cascetta, E., Russo, F. (1997). Calibrating Aggregate Travel Demand Model with TrafficGoogle Scholar
  8. Counts: Estimators and Statistical Performance. Transportation,24: 271:293Google Scholar
  9. Di Gangi, M. (1989). Una valutazione delle prestazioni statistiche degli estimatori della matrice O/D che combinano i risultati di indagini e/o modelli con i conteggi di traffico. Ricerca Operativa, no. 51: 23–59Google Scholar
  10. ELASIS-CSST (1993). Un sistema integrato di supporto alle decisioni per la gestione della mobilità e per la pianificazione dei trasporti urbani. Quaderno n. 26Google Scholar
  11. Judge, G., Griffiths, W. (1985). The Theory and Practice of Econometrics. 2nd Ed. J. Wiley, NYGoogle Scholar
  12. Maher, M.J. (1983). Inference on trip matrices from observations on link volumes: A bayesian statistical approach. Transportation Research, 17B: 435–447MathSciNetCrossRefGoogle Scholar
  13. Ortùzar, D., Willumsen, L.G. (1994). Modelling Transport, 2nd Ed., J. Wiley and Sons Ed. Russo, F., Iannò, D. (1991). Prestazioni statistiche degli estimatori dei parametri di modelli di domanda con i conteggi di flussi. Internal Report n. 2, DIMET, University of Reggio Calabria, ItalyGoogle Scholar
  14. Tamin, O.Z., Willumsen, L.G. (1989). Transport demand model estimation from traffic counts. Transportation, 16: 3–26CrossRefGoogle Scholar
  15. Van Zuylen, J. G., Willumsen, L.G. (1982). The most likely O-D matrix estimated from traffic counts. Transportation Research, 14B: 281–293Google Scholar
  16. Willumsen, L.G. (1981). Simplified transport models based on traffic counts. Transportation, 10: 257–278CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Michele Ottomanelli
    • 1
  1. 1.Dept. of Highways and TransportationPolytechnic of BariItaly — EU

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