Modelling Traffic Scenarios via Markovian Opinion Dynamics
Paper in 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.
Author
Elisa Gaetan
University of Modena and Reggio Emilia
Laura Giarré
University of Modena and Reggio Emilia
Simona Sacone
University of Genoa
Paolo Falcone
Chalmers, Electrical Engineering, Systems and control
University of Modena and Reggio Emilia
Carl-Johan Heiker
Chalmers, Electrical Engineering, Systems and control
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 for Connected Autonomous Vehicles in Complex Urban Environments
VINNOVA (2018-05005), 2019-04-01 -- 2023-03-31.
Subject Categories
Telecommunications
Probability Theory and Statistics
Control Engineering
DOI
10.1109/ITSC57777.2023.10422274