We address the question of whether opinion dynamics models can be exploited in novel scenarios, such as traffic flow on highway lanes. In this paper, we design a Markovian model and compare its predictions with those obtained from the widely recognized Cell Transmission Model (CTM) for the same traffic scenario. We identify potential challenges that may arise and propose strategies to address them. Furthermore, we present a concise demonstration showcasing the predictive capabilities of our proposed model through a small-scale example
Modelling Traffic Scenarios via Markovian Opinion Dynamics / Gaetan, Elisa; Giarre, Laura; Sacone, Simona; Falcone, Paolo; Heiker, Carl-Johan. - (2023), pp. 1072-1077. (Intervento presentato al convegno 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 tenutosi a bilbao, spain nel 23-25 setembre 2023) [10.1109/itsc57777.2023.10422274].
Modelling Traffic Scenarios via Markovian Opinion Dynamics
Gaetan, Elisa
;Giarre, Laura;Falcone, Paolo;
2023
Abstract
We address the question of whether opinion dynamics models can be exploited in novel scenarios, such as traffic flow on highway lanes. In this paper, we design a Markovian model and compare its predictions with those obtained from the widely recognized Cell Transmission Model (CTM) for the same traffic scenario. We identify potential challenges that may arise and propose strategies to address them. Furthermore, we present a concise demonstration showcasing the predictive capabilities of our proposed model through a small-scale example
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