Phase transition in lattice hydrodynamic model integrating random anomalous information under connected autonomous vehicles surroundings

Guanghan Peng, Yuangui Liu, Huili Tan, Dongxue Xia and Tong Zhou

Chaos, Solitons & Fractals, 2025, vol. 201, issue P2

Abstract: As vehicle-to-everything (V2X) communication technology rapidly evolves, connected autonomous vehicles (CAVs) have emerged as a significant component of traffic flow. However, anomalies in the information within the V2X environment can greatly impact the stability of traffic flow composed of CAVs. In this context, we have innovatively constructed a lattice hydrodynamic model by incorporating random anomalous information parameters. This model examines the effect of random anomalous information on the queue of CAVs within the V2X environment, capturing the interference of such information on traffic flow. Furthermore, we conduct linear stability analysis and nonlinear analysis for the new model, successfully deriving the neutral stability conditions and the modified Korteweg-de Vries (mKdV) equation. Additionally, through simulations, we explore the impact of random anomalous information on CAVs from the perspectives of density variation and density differences (limit cycle). Power spectrum and spectral entropy are also applied to investigate traffic stability and complexity under the interference of random anomalous information in the vicinity of CAVs. The simulation results indicate that an increase in the probability of information anomalies significantly degrades the stability of traffic flow, while variations in different anomalous information intensity coefficients produce heterogeneous disturbances in traffic flow dynamics.

Keywords: Traffic flow; Lattice hydrodynamic model; Random anomalous information (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077925012871
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:201:y:2025:i:p2:s0960077925012871

DOI: 10.1016/j.chaos.2025.117274

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().