Modelling Traffic Scenarios via Markovian Opinion Dynamics
Paper i proceeding, 2023
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.
Författare
Elisa Gaetan
Universita Degli Studi Di Modena E Reggio Emilia
Laura Giarré
Universita Degli Studi Di Modena E Reggio Emilia
Simona Sacone
Università degli Studi di Genova
Paolo Falcone
Chalmers, Elektroteknik, System- och reglerteknik
Universita Degli Studi Di Modena E Reggio Emilia
Carl-Johan Heiker
Chalmers, Elektroteknik, System- och reglerteknik
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
21530009 (ISSN) 21530017 (eISSN)
1072-10779798350399462 (ISBN)
26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
Bilbao, Spain,
Bilbao, Spain,
5G för Uppkopplade Autonoma Fordon i Komplexa Stadsmiljöer
VINNOVA (2018-05005), 2019-04-01 -- 2023-03-31.
Ämneskategorier
Telekommunikation
Sannolikhetsteori och statistik
Reglerteknik
DOI
10.1109/ITSC57777.2023.10422274