The assignment models, representing the relationship between travel demand and flows on the network, play a key role in almost all applications of both planning and transport network management. Although there are countless specifications for the assignment models, their reliability and dispersion structure are rarely discussed in the literature. Then, this paper addresses the errors that the usual assignment models introduce, both in terms of network/route choice modelling and in terms of OD matrix estimation based on the traffic measurements. This is done through laboratory experiments in a controlled environment. Specifically, assignment models are compared with the results of direct estimates, obtained by randomly sampling route choices observations within the population, with variable sampling rates.

Laboratory experiments to assess the reliability of traffic assignment map / Simonelli, Fulvio; Tinessa, Fiore; Marzano, Vittorio; Papola, Andrea; Romano, Angela. - (2019). (Intervento presentato al convegno 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) tenutosi a Krakow, Poland).

Laboratory experiments to assess the reliability of traffic assignment map

Fulvio Simonelli;Fiore Tinessa;Vittorio Marzano;Andrea Papola;ROMANO, ANGELA
2019

Abstract

The assignment models, representing the relationship between travel demand and flows on the network, play a key role in almost all applications of both planning and transport network management. Although there are countless specifications for the assignment models, their reliability and dispersion structure are rarely discussed in the literature. Then, this paper addresses the errors that the usual assignment models introduce, both in terms of network/route choice modelling and in terms of OD matrix estimation based on the traffic measurements. This is done through laboratory experiments in a controlled environment. Specifically, assignment models are compared with the results of direct estimates, obtained by randomly sampling route choices observations within the population, with variable sampling rates.
2019
978-1-5386-9484-8
Laboratory experiments to assess the reliability of traffic assignment map / Simonelli, Fulvio; Tinessa, Fiore; Marzano, Vittorio; Papola, Andrea; Romano, Angela. - (2019). (Intervento presentato al convegno 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) tenutosi a Krakow, Poland).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/773889
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