Studies on tra±c °ows simulation and forecast have already lead to a signi¯cant theoretical corpus and to e®ective marketed packages. However, the current state of the art is not yet fully satisfactory for local government agencies, especially for medium sized ones, because of the operational constraints and of the inherent rigidity of currently available models and software. Greater importance has to be given to data re¯nement and to interactivity with the operator, which, in turn, constrains response times. We developed an original methodology for dealing with imprecise and not fully reliable input data by means of state of the art optimization techniques, leading to an e®ective tra±c simulation package. We pursued the two intertwined objectives of simulating/predicting tra±c °ows and of re¯ning origin/destination (OD) matrix input data. We worked at a regional level, corre- sponding to a province in the Italian context. We built upon a legacy GIS-based application, using a road network of about 10000 arcs, a superimposed region zoning decomposing the area of interest into about 60 zones, each of which corresponds to a row/column of an OD matrix, and 100 geocoded points, were actual tra±c counts were available. We de¯ned and calibrated a model, which makes use of the tra±c counts collected on the arcs, of the OD matrix of the province and of physical characteristics of networks arcs, and permits to identify tra±c °ows compatible with actual counts. This same model, after the calibration of its parameters for the province network, has also been utilized for forecasting new °ows following structural variations of the network. The application also contains an OD matrix re¯nement module which permits to update matrix entries as a function of the actual tra±c counts. We validated our model when supporting the de¯nition of the so-called Territorial Plan of Provincial Coordination" for the province of Forlµ³-Cesena, where we forecasted tra±c °ows following the infrastructural scenarios included in the plan for the next 20 years.
M. A. Boschetti, R. Gabrielli, A. Guidazzi, V. Maniezzo, M. Roffilli (2006). Origin-Destination Traffic Flow Modelling at Subregional Level. CESENA : AIRO.
Origin-Destination Traffic Flow Modelling at Subregional Level
BOSCHETTI, MARCO ANTONIO;MANIEZZO, VITTORIO;ROFFILLI, MATTEO
2006
Abstract
Studies on tra±c °ows simulation and forecast have already lead to a signi¯cant theoretical corpus and to e®ective marketed packages. However, the current state of the art is not yet fully satisfactory for local government agencies, especially for medium sized ones, because of the operational constraints and of the inherent rigidity of currently available models and software. Greater importance has to be given to data re¯nement and to interactivity with the operator, which, in turn, constrains response times. We developed an original methodology for dealing with imprecise and not fully reliable input data by means of state of the art optimization techniques, leading to an e®ective tra±c simulation package. We pursued the two intertwined objectives of simulating/predicting tra±c °ows and of re¯ning origin/destination (OD) matrix input data. We worked at a regional level, corre- sponding to a province in the Italian context. We built upon a legacy GIS-based application, using a road network of about 10000 arcs, a superimposed region zoning decomposing the area of interest into about 60 zones, each of which corresponds to a row/column of an OD matrix, and 100 geocoded points, were actual tra±c counts were available. We de¯ned and calibrated a model, which makes use of the tra±c counts collected on the arcs, of the OD matrix of the province and of physical characteristics of networks arcs, and permits to identify tra±c °ows compatible with actual counts. This same model, after the calibration of its parameters for the province network, has also been utilized for forecasting new °ows following structural variations of the network. The application also contains an OD matrix re¯nement module which permits to update matrix entries as a function of the actual tra±c counts. We validated our model when supporting the de¯nition of the so-called Territorial Plan of Provincial Coordination" for the province of Forlµ³-Cesena, where we forecasted tra±c °ows following the infrastructural scenarios included in the plan for the next 20 years.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
