{"title":"Traffic dynamics in cooperative adaptive cruise control (CACC) vehicle platoons: Analyzing congestion and merge behaviors","authors":"Kumlachew Yeneneh, Menelik Walle, Tatek Mamo","doi":"10.1016/j.physa.2025.130724","DOIUrl":"10.1016/j.physa.2025.130724","url":null,"abstract":"<div><div>This study investigates the platoon dynamics of Cooperative Adaptive Cruise Control (CACC)-equipped vehicles in mixed traffic environments, focusing on speed reduction, time-headway variations, and their effects on platoon stability. Simulations were conducted using aggressive, nominal, and cautious driver behavior models across mixed vehicle types, including trucks and small vehicles, with varying CACC ratios (20–80 %). Key performance indicators, such as time-headway, traffic density, and flow rate, were evaluated to examine the impact of CACC ratios on vehicular interaction during speed transitions, specifically from 120 kph to 100 kph and subsequent acceleration. Results demonstrated that higher CACC ratios facilitated smoother speed transitions and greater stability within the platoon. Additionally, position-based speed adjustments reduced traffic flow variability, particularly at high CACC ratios. Unlike prior studies, this research integrates a communication-based CACC control model, addressing lane-changing behaviors, vehicle communication, and realistic modeling of human-driven dynamics. The study also evaluates sliding mode control under mixed-traffic scenarios, emphasizing novel methodologies that address real-world constraints such as vehicle safety and physical limitations. These insights contribute to optimizing CACC configurations in mixed-traffic platoons, supporting enhanced cooperative driving strategies for congestion management and highway merging efficiency.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"673 ","pages":"Article 130724"},"PeriodicalIF":2.8,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168456","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":"Coupled oscillator model of a trapped Fermi gas at the BEC–BCS crossover","authors":"S.V. Andreev","doi":"10.1016/j.physa.2025.130683","DOIUrl":"10.1016/j.physa.2025.130683","url":null,"abstract":"<div><div>We address theoretically the puzzling discontinuity of the radial quadrupole mode frequency observed in a trapped Fermi gas across the BEC–BCS crossover. We apply the scaling transformation to a two-channel model of a resonant Fermi superfluid and argue that the frequency downshift in the crossover region is due to Feshbach coupling of the molecular Bose–Einstein condensate (BEC) to the surrounding Fermi sea. The Bose and Fermi components of the gas act as coupled macroscopic oscillators. The frequency jump corresponds to the point where the closed-channel molecules are entirely converted into the Fermi sea. This implies scaling of the “critical” detuning between the scattering channels with the Fermi energy, which can be verified in an experiment.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130683"},"PeriodicalIF":2.8,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144184673","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 link prediction algorithm based on support vector machine","authors":"Yinzuo Zhou, Weilun Chen, Huangrong Zou","doi":"10.1016/j.physa.2025.130674","DOIUrl":"10.1016/j.physa.2025.130674","url":null,"abstract":"<div><div>The path-based similarity index algorithm has proven effective in link prediction, with the Local Path (LP) similarity index leveraging second-order path information to enhance accuracy significantly. However, few machine learning-based link prediction algorithms fully utilize higher-order path information beyond the second order. Addressing this gap, this paper proposes a novel link prediction algorithm, termed Link Prediction based on Support Vector Machine, which incorporates the concept of the LP similarity index into feature vector construction, integrating higher-order path information comprehensively. Extensive controlled experiments on four public datasets demonstrate that our algorithm achieves notable performance improvements compared to traditional similarity index-based link prediction algorithms.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"673 ","pages":"Article 130674"},"PeriodicalIF":2.8,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168418","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":"Effective one-body interactions due to the presence of a liquid–vapor interface","authors":"Melih Gül, Roland Roth","doi":"10.1016/j.physa.2025.130686","DOIUrl":"10.1016/j.physa.2025.130686","url":null,"abstract":"<div><div>In this study we investigate the behavior of additive binary square-well mixtures within the framework of classical density functional theory. By leveraging on the geometrical structure of the square-well interaction, we propose a novel form of the perturbation theory contribution to the density functional in terms of weighted densities, inspired by fundamental measure theory. We apply this functional in order to study the effective one-body interaction due to the liquid–vapor interface of the solvent acting on a dilute component of dissolved nano particles. The effective one-body interaction attracts the nano particles strongly to the interface. We show that this effective interaction potential can be calculated either from the density profiles of the full mixture, at low but non-vanishing concentrations of the nano particles, or by employing the Widom insertion theorem in the dilute limit of vanishing density of nano particles. Both routes display excellent agreement.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130686"},"PeriodicalIF":2.8,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166898","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":"Pattern dynamics of a vegetation-water model with saturated effect and diffusion feedback","authors":"Huimin Bai , Yu-Xuan Fan , Li Li","doi":"10.1016/j.physa.2025.130676","DOIUrl":"10.1016/j.physa.2025.130676","url":null,"abstract":"<div><div>Desertification represents one of the most pressing ecological challenges globally, where vegetation patterns serve as critical indicators of ecosystem resilience and early-warning signatures of ecological degradation. Soil water diffusive feedbacks and saturation water uptake by vegetation are important mechanisms for vegetation-water interactions in arid and semi-arid environments. In this paper, a Klausmeier-type vegetation-water model is investigated to study the mechanism of vegetation pattern formation by incorporating a saturated water absorption term and soil water diffusion feedback. We derive amplitude equations near the Turing bifurcation point, revealing selection criteria and stability conditions for vegetation patterns. Our findings reveal that the saturated water absorption effect induces pattern phase transitions, the feedback mechanism of soil water diffusion accelerates desertification, and precipitation gradients induce the emergence of a bistable coexistence phenomenon. These results provide theoretical insights into the dynamics of vegetation patterns and offer guidance for ecosystem management and desertification control.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"673 ","pages":"Article 130676"},"PeriodicalIF":2.8,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168419","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":"Subgraphs and motifs in a dynamic airline network","authors":"Marius Agasse-Duval, Steve Lawford","doi":"10.1016/j.physa.2025.130660","DOIUrl":"10.1016/j.physa.2025.130660","url":null,"abstract":"<div><div>How does the small-scale topological structure of an airline network behave as the network evolves? We analyse 15 years of data on Southwest Airlines’ domestic route network, focusing on the dynamics of small undirected subgraphs. Using exact enumeration formulae, we identify statistically over- and under-represented subgraphs (motifs and anti-motifs) and track their evolution. We uncover substantial topology transitions in network structure and provide evidence for time-varying power-law scaling between subgraph counts and the total number of edges. We also introduce a node-ranking measure that highlights node importance relative to specific local topologies. Our findings extend the toolkit of subgraph-based network analysis and offer new insight into transportation networks and the strategic behaviour of firms in oligopolistic markets.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"673 ","pages":"Article 130660"},"PeriodicalIF":2.8,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144177748","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":"Effects of aggregate size, shape, orientation, and volume fraction on the interfacial layers of concrete","authors":"Xuqian Liu , Hui Li","doi":"10.1016/j.physa.2025.130721","DOIUrl":"10.1016/j.physa.2025.130721","url":null,"abstract":"<div><div>Concrete can be considered a three-dimensional two-phase composite with aggregate particles and cement matrix at the mesoscopic scale. The wall effect is often observed in concrete and leads to interfacial layers near the boundaries of concrete. The features of aggregates significantly impact the interfacial layers and then affect the macroscopic properties of concrete. Different kinds of non-spherical particles are employed as aggregate particles in this paper to explore the effects of aggregate features on the interfacial layers. Concrete structures are generated based on the constructions and contact detection algorithms of particles. Using the particle packing method and the section analysis method, three parameters for the solid phase (i.e., the volume fraction <em>V</em><sub><em>V</em></sub>, the specific surface area <em>S</em><sub><em>V</em></sub>, and the mean free spacing <em>λ</em>) can be obtained to characterize the change in the properties of the interfacial layer. Finally, the effects of the aggregate features, including aggregate size, shape, orientation, and volume fraction, on the interfacial layers of concretes are studied. These results are meaningful for the properties and design of the composites.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"673 ","pages":"Article 130721"},"PeriodicalIF":2.8,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168473","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}
Yixi Tao , Hang Yu , Weiguo Song , Xuehua Song , Jun Zhang
{"title":"Dynamic analysis of firefighter movement in single-file experiment at different visibility levels","authors":"Yixi Tao , Hang Yu , Weiguo Song , Xuehua Song , Jun Zhang","doi":"10.1016/j.physa.2025.130716","DOIUrl":"10.1016/j.physa.2025.130716","url":null,"abstract":"<div><div>Firefighter casualties frequently occur in low-visibility environments, such as fire scenes filled with smoke. To study the influence of visibility on the movement characteristics of firefighters' longitudinal movement, we conducted a single-file experiment under four visibility conditions. The study found that under different visibility conditions, firefighters exhibited four types of movement behaviors, including independent movement, assisting movement, exploring movement, and connecting movement, leading to distinct movement characteristics. Under invisible conditions, independent movement behavior was no longer observed. At high densities (N > 20), connecting movement accounted for more than 60 %. When Light transmittance (LT) = 100 %, 0.2 %, and 0.1 %, the influence of visibility on the movement characteristics of firefighters, such as velocity and headway-velocity relationship, was largely consistent with that of pedestrians. However, influenced by daily training requirements and rescue experience, firefighters exhibited more active body movements in dark environments (LT = 0 %). This behavioral movement significantly weakened the stop-go wave phenomenon, resulting in smaller lateral sway amplitudes that mitigated the adverse effects of density on movement. Furthermore, the adaptation time was notably shorter, with a critical headway of only 0.88 m. This study represents an initial attempt to explore the single-file movement characteristics of firefighters. The empirical data provided can serve as a foundation for modeling and further guide training and rescue missions for firefighters in low-visibility fire environments.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"673 ","pages":"Article 130716"},"PeriodicalIF":2.8,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168457","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":"Regional emission dynamics in the phases of the EU Emissions Trading System","authors":"Marco Dueñas , Antoine Mandel","doi":"10.1016/j.physa.2025.130680","DOIUrl":"10.1016/j.physa.2025.130680","url":null,"abstract":"<div><div>This paper explores the relationship between economic growth and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions across European regions from 1990 to 2022, specifically concerning the dynamics of emissions growth rates through the European Union Emissions Trading System (EU ETS) phases. We find that emissions dynamics exhibit significant volatility, and the distribution of emissions growth rates is asymmetric and displays fat tails, suggesting the potential for extreme emissions events. We identify marked disparities across regions: less developed regions experience higher emissions growth rates and greater volatility than many developed areas, which show a trend of declining emissions and reduced volatility. Our findings highlight the sensitivity of emissions to policy changes, which challenges the just transition towards decarbonisation and affects the governance of climate policies in Europe.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"673 ","pages":"Article 130680"},"PeriodicalIF":2.8,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154675","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":"Light attention-based neural networks for traffic flow prediction","authors":"Yong Li , Jiajun Wang , Liujiang Kang","doi":"10.1016/j.physa.2025.130665","DOIUrl":"10.1016/j.physa.2025.130665","url":null,"abstract":"<div><div>Spatial–temporal traffic patterns in transportation significantly influence the design of prediction models, which require both high accuracy and computational efficiency. This paper introduces the Light <u>A</u>ttention-based <u>S</u>patial-<u>T</u>emporal <u>N</u>eural <u>N</u>etworks (Light-ASTNN), a lightweight traffic prediction model designed for higher prediction accuracy. The model integrates network topology information from a transportation network into a spatial attention to enhance the attention mechanism’s capacity. The effectiveness of the proposed model is validated through comparable experiments with a previous model, using 5 real-world traffic graph network-based datasets. The experimental results show that the proposed model can achieve a better performance in both the accuracy and computational efficiency, despite the fewer parameters. Furthermore, the experiments further highlight the critical role of network topology information in computing spatial correlations using the attention mechanism.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"673 ","pages":"Article 130665"},"PeriodicalIF":2.8,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154601","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}