Modelling traffic scenarios via Markovian Opinion Dynamics

被引:1
|
作者
Gaetan, Elisa [1 ]
Giarre, Laura [1 ]
Sacone, Simona [2 ]
Falcone, Paolo [1 ,3 ]
Heiker, Carl-Johan [3 ]
机构
[1] Univ Modena & Reggio Emilia, Engn Dept Enzo Ferrari, Modena, Italy
[2] Univ Genoa, Dept Informat Bioengn Robot & Syst Engn DIBRIS, Genoa, Italy
[3] Chalmers Univ Technol, Dept Elect Engn, Mechatron Grp, Gothenburg, Sweden
关键词
CELL TRANSMISSION MODEL;
D O I
10.1109/ITSC57777.2023.10422274
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1072 / 1077
页数:6
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