This paper proposes a numerical assessment of the performances of the CoNL route choice model [1] on a big-size network (Regione Campania). The CoNL is a particular specification of the CoRUM model [2]. Currently, its performances in terms of choice probabilities have been investigated only on some toy networks, by comparing route choice probabilities with reference to target Multinomial Probit choice probabilities. The paper provides also a discussion about different aspects of the CoNL for route choice: The possibility to take into account also non-efficient path, the computation time of the two versions of the algorithm for building the CoNL structure, and the possibility to adopt some different specifications for computing the structural parameters of the model. The comparison is based on a dataset of 195 trajectories on 145 different o-d pairs, tracked with the aid of an Android application. The trajectories have been collected through the smartphones of travellers moving within the network of Regione Campania (Italy). The results show the superiority of the CoNL route choice model in reproducing observed route choices when compared with other commonly used route choice formulations.

CoNL route choice model: numerical assessment on a real dataset of trajectories / Tinessa, Fiore; Marzano, Vittorio; Papola, Andrea; Montanino, Marcello; Simonelli, Fulvio. - (2019). (Intervento presentato al convegno 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)).

CoNL route choice model: numerical assessment on a real dataset of trajectories

Fiore Tinessa;Vittorio Marzano;Andrea Papola;Marcello Montanino;Fulvio Simonelli
2019

Abstract

This paper proposes a numerical assessment of the performances of the CoNL route choice model [1] on a big-size network (Regione Campania). The CoNL is a particular specification of the CoRUM model [2]. Currently, its performances in terms of choice probabilities have been investigated only on some toy networks, by comparing route choice probabilities with reference to target Multinomial Probit choice probabilities. The paper provides also a discussion about different aspects of the CoNL for route choice: The possibility to take into account also non-efficient path, the computation time of the two versions of the algorithm for building the CoNL structure, and the possibility to adopt some different specifications for computing the structural parameters of the model. The comparison is based on a dataset of 195 trajectories on 145 different o-d pairs, tracked with the aid of an Android application. The trajectories have been collected through the smartphones of travellers moving within the network of Regione Campania (Italy). The results show the superiority of the CoNL route choice model in reproducing observed route choices when compared with other commonly used route choice formulations.
2019
978-1-5386-9484-8
CoNL route choice model: numerical assessment on a real dataset of trajectories / Tinessa, Fiore; Marzano, Vittorio; Papola, Andrea; Montanino, Marcello; Simonelli, Fulvio. - (2019). (Intervento presentato al convegno 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/773880
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