Empirical model verification and validation is a fundamental step in the study of traffic phenomena. The authors use a rich geolocalized dataset collected via On-Board-Units systems to tune the parameters of a classic LWR first order macroscopic traffic model and compare it with the empirical data. The authors discuss the method of processing of the dataset and the calibration technique used to tune the model. Various cases of roads are taken into exam: suburban highways, urban high capacity roads and more likely congested normal streets, where the possible presence of traffic lights and crossings interferes complicates the scenario. An evaluation of the accuracy of the model in the various situations is presented.

On the validity of the LWR traffic model

Fagioli Simone;Lattanzio Corrado;
2021

Abstract

Empirical model verification and validation is a fundamental step in the study of traffic phenomena. The authors use a rich geolocalized dataset collected via On-Board-Units systems to tune the parameters of a classic LWR first order macroscopic traffic model and compare it with the empirical data. The authors discuss the method of processing of the dataset and the calibration technique used to tune the model. Various cases of roads are taken into exam: suburban highways, urban high capacity roads and more likely congested normal streets, where the possible presence of traffic lights and crossings interferes complicates the scenario. An evaluation of the accuracy of the model in the various situations is presented.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11697/177113
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