{"title":"Phase transitions in dual-lane traffic model based on the continuous historical evolution message effect under V2X environment","authors":"Guanghan Peng , Teti Jia , Hongzhuan Zhao , Huili Tan","doi":"10.1016/j.cjph.2025.03.017","DOIUrl":null,"url":null,"abstract":"<div><div>Connected vehicles can gain the traffic information through vehicle to everything (V2X) communication technology, which contributes to dredging the running cars on congested roads in the traffic network. Additionally, the historical evolution process of traffic flow may play more and more contributions in traffic cyber physical systems (T-CPS) under V2X environment. Consequently, we in this manuscript come up with an innovative lattice hydrodynamic model based on the continuous historical evolution message (CHEM) effect on two lanes under V2X environment. To investigate the CHEM effect in traffic congestion, theoretical analysis and numerical simulation experiments have been executed to reveal traffic dynamics evolution process. Through simulations, traffic stability is strengthened by amplifying the sensitivity coefficient of the CHEM effect and the limited memory duration number (<em>L</em>≤3). Fortunately, the results imply that the CHEM effect can prominently improve the stability of traffic flow, which verifies that the CHEM effect is of great significance and value in lattice hydrodynamic model during traffic dynamics evolution process.</div></div>","PeriodicalId":10340,"journal":{"name":"Chinese Journal of Physics","volume":"95 ","pages":"Pages 422-432"},"PeriodicalIF":4.6000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Physics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S057790732500108X","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Connected vehicles can gain the traffic information through vehicle to everything (V2X) communication technology, which contributes to dredging the running cars on congested roads in the traffic network. Additionally, the historical evolution process of traffic flow may play more and more contributions in traffic cyber physical systems (T-CPS) under V2X environment. Consequently, we in this manuscript come up with an innovative lattice hydrodynamic model based on the continuous historical evolution message (CHEM) effect on two lanes under V2X environment. To investigate the CHEM effect in traffic congestion, theoretical analysis and numerical simulation experiments have been executed to reveal traffic dynamics evolution process. Through simulations, traffic stability is strengthened by amplifying the sensitivity coefficient of the CHEM effect and the limited memory duration number (L≤3). Fortunately, the results imply that the CHEM effect can prominently improve the stability of traffic flow, which verifies that the CHEM effect is of great significance and value in lattice hydrodynamic model during traffic dynamics evolution process.
网联车辆通过V2X (vehicle to everything)通信技术获取交通信息,有助于疏通交通网络中拥堵道路上行驶的车辆。此外,交通流的历史演化过程在V2X环境下的交通网络物理系统(T-CPS)中可能会发挥越来越大的作用。因此,我们在本文中提出了一个基于V2X环境下双车道连续历史演化信息(CHEM)效应的创新点阵流体力学模型。通过理论分析和数值模拟实验,揭示了交通动态演化过程。通过仿真,通过放大CHEM效应的敏感系数和有限记忆持续时间数(L≤3)来增强交通稳定性。幸运的是,研究结果表明,化学反应效应能够显著提高交通流的稳定性,这验证了在交通动力学演化过程中,化学反应效应在点阵水动力模型中具有重要的意义和价值。
期刊介绍:
The Chinese Journal of Physics publishes important advances in various branches in physics, including statistical and biophysical physics, condensed matter physics, atomic/molecular physics, optics, particle physics and nuclear physics.
The editors welcome manuscripts on:
-General Physics: Statistical and Quantum Mechanics, etc.-
Gravitation and Astrophysics-
Elementary Particles and Fields-
Nuclear Physics-
Atomic, Molecular, and Optical Physics-
Quantum Information and Quantum Computation-
Fluid Dynamics, Nonlinear Dynamics, Chaos, and Complex Networks-
Plasma and Beam Physics-
Condensed Matter: Structure, etc.-
Condensed Matter: Electronic Properties, etc.-
Polymer, Soft Matter, Biological, and Interdisciplinary Physics.
CJP publishes regular research papers, feature articles and review papers.