Abstract
Using an agent-based traffic models, we analyze the manner in which the number of platoons within a traffic system is correlated with the appearance of traffic jams. Two definitions of a platoon are proposed and verified using agent-based simulations to find the one that provides the most realistic representation of traffic behavior in a stochastic model. We observe that traffic jams are closely related to the convergence of multiple platoons into a single platoon containing all the agents in the model. We also observed that at high-density, traffic system maintains a metastable state when it has multiple platoons in it. A traffic jam occurs when these multiple platoons are merged into a single platoon, which is equivalent to the concept of an infinite cluster in percolation theory.
Original language | English |
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Article number | 8939352 |
Pages (from-to) | 319-328 |
Number of pages | 10 |
Journal | IEEE Transactions on Intelligent Transportation Systems |
Volume | 22 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2021 Jan |
Keywords
- Multi-platoon dynamics
- jam-free traffic
- metastability
- multi-agent system
- self-organization
ASJC Scopus subject areas
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications