A real case application for traffic demand estimation using multi-class vehicle traffic counts

Author(s)
Armando Cartenì, Assistant Professor in Transportation Engineering, Department of Civil, Construction and Environmental Engineering, University of Naples Federico II, Via Claudio 21 - 80125 Naples – Italy

Abstract
All the elements of a transportation system model generally suffer from some approximation. Normally the traffic demand estimation is considered the most crucial and problematic element to be simulated, and vehicle traffic counts are generally used to “update” it so that the whole model system is able to reproduce the observed road vehicle flows. Updating demand estimation using traffic counts has received considerable attention in recent years. In this paper a methodology for updating the demand vector using traffic counts on congested networks was applied to the real case of the mobility demand estimation of the Naples city (Italy). The results of the estimations show the good capacity of the proposed methodology to reproduce the vehicle traffic counts observed. Furthermore, through the estimated traffic demand was possible to analysed the structural characteristics of the traffic demand within Naples city.

Keywords
transportation planning; origin-destination demand updating; bi-level programming problem; transportation simulation model.

Cite this paper
Armando Cartenì, A real case application for traffic demand estimation using multi-class vehicle traffic counts, SCIREA Journal of Traffic and Transportation. Vol. 2 , No. 1 , 2017 , pp. 1 - 14 .

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