Physica A: Statistical Mechanics and its Applications最新文献

{"title":"The connected vehicle microscopic behavior modeling base on risk field theory: Theoretical developments, methodological overview and future trends","authors":"Guodong Ma ,&nbsp;Baofeng Sun ,&nbsp;Quan Yuan ,&nbsp;Wenyu Yang","doi":"10.1016/j.physa.2025.130584","DOIUrl":"10.1016/j.physa.2025.130584","url":null,"abstract":"<div><div>This study explores the applications of risk field in modeling connected vehicles’ microscopic behaviors within the “Vehicle-Road-Cloud Integration (VRCI)” framework, aiming to enhance driving safety and traffic efficiency. It addresses four key dimensions through bibliometric analysis. First, it examines how risk field integrates safety principles, motion dynamics, and environmental interactions to address existing modeling limitations. Second, it systematically reviews the evolution of risk field theories, including conceptual frameworks, quantitative modeling methods, and calibration techniques. Third, it evaluates strengths and weaknesses of current approaches across four sub-modules: risk perception, behavioral decision-making, trajectory planning, and tracking control. The analysis emphasizes hybrid methodologies combining physical models with machine learning, outlining their problem-solving potential, application conditions, and limitations. Finally, the study proposes a future research agenda informed by the challenges of applying risk field to vehicle microscopic behavior modeling, aligning it with the concept of “VRCI” to offer a feasible direction for future development.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"668 ","pages":"Article 130584"},"PeriodicalIF":2.8,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trust in society: A stochastic compartmental model","authors":"Benedikt V. Meylahn ,&nbsp;Koen De Turck ,&nbsp;Michel Mandjes","doi":"10.1016/j.physa.2025.130563","DOIUrl":"10.1016/j.physa.2025.130563","url":null,"abstract":"<div><div>This paper studies a novel stochastic compartmental model for the dynamics of trust in society. The population is split into three compartments representing levels of trust in society: trusters, skeptics and cynics. The focus lies on assessing the long-term dynamics, under ‘bounded confidence’ (<em>i.e.</em>, trusters and cynics do not communicate). We state and classify the stationary points of the system’s mean behavior. We find that in the model an increase in life-expectancy, and a greater population may increase the proportion of individuals who lose their trust completely. In addition, the relationship between the rate at which cynics convince skeptics to join their cause and the expected number of cynics is not monotonic — it does not always help to be more convincing to ensure the survival of your group. We numerically illustrate the workings of our analysis. Because the study of stochastic compartmental models for social dynamics is not common, we in particular shed light on the limitations of deterministic compartmental models. In our experiments we make use of fluid and diffusion approximation techniques as well as Gillespie simulation.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"668 ","pages":"Article 130563"},"PeriodicalIF":2.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamical features studies of a magnetic core-multishell structured hexagonal Ising nanotube in the presence of an oscillating magnetic field","authors":"G.B. Aziza Goguin ,&nbsp;T.D. Oke ,&nbsp;R.A.A. Yessoufou ,&nbsp;E. Albayrak ,&nbsp;A. Kpadonou","doi":"10.1016/j.physa.2025.130569","DOIUrl":"10.1016/j.physa.2025.130569","url":null,"abstract":"<div><div>Using the dynamic mean-field theory based on the Glauber-type stochastic dynamics, we investigate the dynamic critical magnetic properties of a core–shell hexagonal Ising nanotube system with spin-<span><math><mrow><mn>3</mn><mo>/</mo><mn>2</mn></mrow></math></span> particles in the core and the mixed-shell (1, <span><math><mrow><mn>1</mn><mo>/</mo><mn>2</mn></mrow></math></span>) under the constraint of an oscillating magnetic field. The time-dependent behaviors, thermal variations of magnetizations, dynamic phase diagrams, and hysteresis loops are studied in detail according to the system’s parameter values. Throughout the dynamical relaxations, critical properties such as dynamic first- and second-order phase transitions, magnetic compensation, tricritical point, critical end point, double critical end point, isolated critical point, triple point, and quadruple point are obtained. The hysteresis loops exhibit different topologies within the space parameters of the model considered. On the other hand, frequency analysis of the system response is studied in order to reveal its nonequilibrium properties. It is worth mentioning that our findings are in perfect agreement with those existing in the literature. This study shows the impressive character of composite materials in predicting the fascinating properties to be sought in the world of nanotechnology.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"668 ","pages":"Article 130569"},"PeriodicalIF":2.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multifractal Cross-Correlations of Dirty and Clean Cryptocurrencies with main financial indices","authors":"Werner Kristjanpoller ,&nbsp;Benjamin Miranda Tabak","doi":"10.1016/j.physa.2025.130541","DOIUrl":"10.1016/j.physa.2025.130541","url":null,"abstract":"<div><div>We investigate the long-range cross-correlation and cross-multifractality between the “dirty” and “clean” cryptocurrencies and the major financial assets: the Dow Jones Index (DJI), the Euro–Dollar exchange rate (EURUSD), and Gold. The analysis shows a high long-range correlation between most pairs with some exceptions, including the DJI–Ripple and Gold–Polygon. When the DJI is paired with clean cryptocurrencies such as Polygon and Cardano, they exhibit multifractal properties. As for the EURUSD–BTC and Gold–BTC, these two pairs demonstrated the highest level of multifractality in their corresponding pairs. All pairs of cryptocurrencies and main financial indices are persistent, with the exceptions of EURUSD–POLYGON (H<span><math><mrow><mo>=</mo><mn>0</mn><mo>.</mo><mn>4970</mn><mspace></mspace><mo>±</mo><mspace></mspace><mn>0</mn><mo>.</mo><mn>0048</mn></mrow></math></span> for <span><math><mi>q</mi></math></span>=2), GOLD–BTC (H<span><math><mrow><mo>=</mo><mn>0</mn><mo>.</mo><mn>5039</mn><mspace></mspace><mo>±</mo><mspace></mspace><mn>0</mn><mo>.</mo><mn>0058</mn></mrow></math></span> for <span><math><mi>q</mi></math></span>=2) and GOLD–LTC (H<span><math><mrow><mo>=</mo><mn>0</mn><mo>.</mo><mn>5044</mn><mspace></mspace><mo>±</mo><mspace></mspace><mn>0</mn><mo>.</mo><mn>0057</mn></mrow></math></span> for <span><math><mi>q</mi></math></span>=2) that are Brownian, and GOLD–POLYGON (H<span><math><mrow><mo>=</mo><mn>0</mn><mo>.</mo><mn>4917</mn><mspace></mspace><mo>±</mo><mspace></mspace><mn>0</mn><mo>.</mo><mn>0055</mn></mrow></math></span> for <span><math><mi>q</mi></math></span>=2) which is anti-persistent. For <span><math><mi>q</mi></math></span>=5, all are anti-persistent, except DJI-Eth, XRP, and ADA are Brownian, and EURUSD-XRP is persistent. We also assessed the asymmetric persistence behavior when the market is upward or downward and found that for the pairs involving dirty cryptocurrencies with DJI and EURUSD, there is a higher level of persistence during the downward market. On the other hand, Gold-related pairs were almost symmetric. Thus, we identified the complexity and variability of the cryptocurrency pairs with the traditional financial instruments, which shows their various reactions to the changes in the market and types of assets.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"668 ","pages":"Article 130541"},"PeriodicalIF":2.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamics analysis of pedestrian movement on slopes: Modelling, simulations and experiments","authors":"Tingting Nong ,&nbsp;Zhichao Zhang ,&nbsp;Tao Wang ,&nbsp;Wenke Zhang ,&nbsp;Jingyu Tan ,&nbsp;Eric Wai Ming Lee ,&nbsp;Meng Shi","doi":"10.1016/j.physa.2025.130589","DOIUrl":"10.1016/j.physa.2025.130589","url":null,"abstract":"<div><div>Inclined structures play a crucial role in urban spatial planning, but inadequate crowd management often leads to significant safety risks. To better understand pedestrian dynamics on slopes and provide insights for effective crowd management, this study proposes a multi-factor floor field cellular automaton model for slope movement that integrates microscopic and mesoscopic scales. The model introduces a speed-density model that accounts for pedestrian heterogeneity, travel purposes, crowd density, and regional differences to establish the fundamental mechanism of speed variation. Additionally, the model establishes a function to evaluate pedestrian speed variations on slopes by incorporating the slope angle, the angle of movement deviation, and the distance travelled, with the function being calibrated based on empirical data. The results show that pedestrian speed variation on slopes follows a non-linear, accumulative pattern, with acceleration and deceleration effects becoming more pronounced as distance increases. The impact of slope angle on pedestrian speed variation trend is also non-linear, with 7° as the threshold. The initial speed of pedestrians, pedestrian density, and slope configuration all significantly affect the movement speed and efficiency of pedestrians on slopes. The proposed model was evaluated through real-world slope experiments and found that the simulation results closely match the experimental results. The findings illustrate that the proposed model has the potential to provide insights for analysing pedestrian dynamics on slopes movement scenarios. This study provides a model for evaluating pedestrian movement on slopes, with potential applications in optimising urban design, improving emergency evacuation strategies, and enhancing crowd management in high-density areas.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"668 ","pages":"Article 130589"},"PeriodicalIF":2.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finite-time thermodynamic analysis of an irreversible energy converter with internal irreversibilities: (Heat engine, Cooler, and Heat pump)","authors":"S. Gonzalez–Hernandez","doi":"10.1016/j.physa.2025.130558","DOIUrl":"10.1016/j.physa.2025.130558","url":null,"abstract":"<div><div>A general model of an irreversible energy converter (IEC) is presented within the context of finite-time thermodynamics, which can be operated as a heat engine, refrigerator, or heat pump. This model can be analyzed considering generalized heat transfer laws of the type <span><math><mrow><mi>Q</mi><mo>=</mo><mi>K</mi><msup><mrow><mrow><mo>(</mo><msubsup><mrow><mi>T</mi></mrow><mrow><mi>h</mi><mi>o</mi><mi>t</mi></mrow><mrow><mi>m</mi></mrow></msubsup><mo>−</mo><msubsup><mrow><mi>T</mi></mrow><mrow><mi>c</mi><mi>o</mi><mi>l</mi><mi>d</mi></mrow><mrow><mi>n</mi></mrow></msubsup><mo>)</mo></mrow></mrow><mrow><mi>N</mi></mrow></msup></mrow></math></span>. Starting from this general model, a relationship is established between the design parameters of an IEC operated as a heat engine with internal and external irreversibilities to find the maximum power, efficiency at the point of maximum power, ecological function, and efficient power. This analysis is also carried out for the IEC operated as a refrigerator and heat pump, where the COP, ecological function, and efficient cooling and heating power are examined, respectively. Finally, we analyze the behavior of the IEC (Heat Engine, Cooler, and Heat Pump) considering the following heat transfer laws: Newton-Fourier, Inverse law, Dulong–Petit law’s (<span><math><mrow><mn>5</mn><mo>/</mo><mn>4</mn></mrow></math></span>, <span><math><mrow><mn>4</mn><mo>/</mo><mn>3</mn></mrow></math></span>, and <span><math><mrow><mn>3</mn><mo>/</mo><mn>4</mn></mrow></math></span>), Stefan–Boltzmann, radiation propagated along a one-dimensional transmission line, and radiation propagated along a two-dimensional surface.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"668 ","pages":"Article 130558"},"PeriodicalIF":2.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic investigation of the new quantum-control-assisted reverse uncertainty relation","authors":"Qiyi Li ,&nbsp;Shaoqiang Ma ,&nbsp;Sansheng Wang ,&nbsp;Xiao Zheng ,&nbsp;Guofeng Zhang","doi":"10.1016/j.physa.2025.130566","DOIUrl":"10.1016/j.physa.2025.130566","url":null,"abstract":"<div><div>Recently, a new interesting concept of reverse uncertainty relation is introduced. Different from the normal uncertainty relation, the reverse one indicates that one cannot only prepare quantum states with joint small uncertainty, but also with joint great uncertainty for incompatible observables. We in this work construct a new quantum-control-assisted reverse uncertainty relation and investigate the corresponding dynamic evolution in the Heisenberg model with Dzyaloshinskii–Moriya interaction. The obtained relation indicates that the reverse uncertainty can be broken with help of the quantum control system. The dynamic investigation reveals that there exists an interesting single-value relationship between new uncertainty relation and the mixedness of the system, indicating that the tightness and upper bound of the uncertainty relation can be written as functional form of the mixedness. By comparing the existing research in [Physica Scripta 2023, 98(6), 065113], we show that the single-value relationship with the mixedness is the common nature of both the normal uncertainty relations and the reverse uncertainty relation.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"668 ","pages":"Article 130566"},"PeriodicalIF":2.8,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A two-level framework for dynamic route planning and trajectory optimization of connected and automated vehicles in road networks","authors":"Qiang Xue ,&nbsp;Shi-Teng Zheng ,&nbsp;Xiao Han ,&nbsp;Rui Jiang","doi":"10.1016/j.physa.2025.130552","DOIUrl":"10.1016/j.physa.2025.130552","url":null,"abstract":"<div><div>This study proposes a two-level optimization control framework for connected and automated vehicles (CAVs) to minimize fuel consumption and travel delay by integrating network-level dynamic route planning (upper level) and vehicle-level trajectory optimization (lower level). At the upper level, the optimal route is updated whenever a CAV enters a new link. To account for lane-specific traffic dynamics, a topological transformation method is introduced, distinguishing lanes by direction and incorporating lane impedance based on traffic density and turning movements. The Floyd–Warshall algorithm is employed to determine the dynamic optimal route within this transformed network structure. At the lower level, an optimization model is formulated to generate an ideal vehicle trajectory within the optimization zone of a link. The vehicle’s initial velocity is set to ensure adequate space for safe maneuvering. The optimal route from the upper level serves as an input for defining the vehicle’s terminal velocity based on its direction, forming a boundary constraint for the trajectory optimization model. By coordinating network-level routing and vehicle-level motion control, the proposed two-level framework mitigates sharp acceleration and deceleration, reducing unnecessary stops at signalized intersections. Numerical experiments and sensitivity analyses demonstrate the effectiveness of the framework in improving network performance by reducing both fuel consumption and travel delay.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"668 ","pages":"Article 130552"},"PeriodicalIF":2.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IPF-GCN: A graph convolutional network based on the interaction potential field for multi-vehicle trajectory prediction","authors":"Yajin Li,&nbsp;Shu Wang,&nbsp;Xuan Zhao,&nbsp;Jia Tian","doi":"10.1016/j.physa.2025.130583","DOIUrl":"10.1016/j.physa.2025.130583","url":null,"abstract":"<div><div>Vehicle trajectory prediction is a key task to ensure the safety of autonomous driving, especially in dense traffic scenarios, where the future trajectory of a vehicle is jointly influenced by the historical trajectory of the self-vehicle and the interaction of the surrounding vehicles, and the complex and stochastic interactions among the vehicles bring challenges to the prediction of vehicle trajectories. In this paper, we analyze the temporal and interaction characteristics of the vehicles and propose a trajectory prediction model based on the Interaction Potential Field Graph Convolutional Network (IPF-GCN). A Bi-LSTM attention network is used to extract the bidirectional temporal features of historical trajectories so that the model focuses on the important information in the trajectories. An artificial potential field that captures the longitudinal and lateral interactions between vehicles is constructed, and the vehicle interaction features are extracted based on a bi-layer graph convolution network (GCN). Furthermore, the future trajectory prediction of the vehicles is achieved based on the LSTM decoder and considering the driving intention. Finally, the model is experimentally validated on HighD and ExiD datasets. Compared to the baseline models, our model has higher trajectory prediction accuracy and provides good trajectory prediction in dense traffic situations.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"667 ","pages":"Article 130583"},"PeriodicalIF":2.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mitigating group polarization through positive and neutral comment bots","authors":"Mingyu Liu ,&nbsp;Yue Wu ,&nbsp;Wenjia Li","doi":"10.1016/j.physa.2025.130580","DOIUrl":"10.1016/j.physa.2025.130580","url":null,"abstract":"<div><div>The adverse effects of group polarization on social networks are becoming increasingly apparent in today's society, undermining constructive public discourse and threatening political and social stability. To mitigate group polarization, this paper proposes the MGP-PNCB framework, consisting of three modules: polarization data collection, comment generation, and bot embedding. By inputting manually configured prompts into the GPT model, positive and neutral comments are generated and disseminated with the aid of social bots. Additionally, it introduces a polarization alleviation index designed to measure the depolarization impact of specific comments. In the experiment, 60 social bots divided into three categories of 20 each were deployed across four topics, and received 2488 comments from 2183 users over 28 days. Results show that the average sentiment polarity of comments received by bots is more positive than that of regular users. Importantly, neutral bots are more effective in mitigating group polarization than positive ones under the same topic data training.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"667 ","pages":"Article 130580"},"PeriodicalIF":2.8,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}