Article
Mathematics
Huimin Liu, Rongjun Cheng, Tingliu Xu
Summary: This study introduces a novel traffic flow model considering the driver's predictive effect. Results from numerical simulations and theoretical analysis show that the driver's predictive effect can effectively improve the stability of traffic flow, reduce traffic congestion, and enhance traffic flow stability.
Article
Physics, Applied
Tao Wang, Sainan Zhang, Zhen Li, Shubin Li, Jing Yuan, Jing Zhang
Summary: This paper introduces a lattice traffic model that considers predictive effects and continuous historical density information, showing that this approach is beneficial for reducing traffic congestion and depicting the development of blocked flow. Numerical simulations confirm the ability of predictive effects and continuous historical density information to suppress traffic congestion.
INTERNATIONAL JOURNAL OF MODERN PHYSICS B
(2021)
Article
Computer Science, Interdisciplinary Applications
Xiaoqin Li, Guanghan Peng
Summary: In this study, the individual difference of the honk effect on two lanes is explored through traffic modeling under the Vehicle to X environment. The impact of individual difference on traffic stability is investigated through linear stability analysis, and the mKdV equation is used to analyze the lane changing phenomena. Simulation results show that the individual difference of driving characteristics has a distinct impact on two lanes under the honking environment.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C
(2022)
Article
Physics, Multidisciplinary
Yuxuan Li, Tong Zhou, Guanghan Peng
Summary: With the increase of traffic flux, the road flux limit method has emerged as an important traffic control measure that can influence the dynamic evolution of traffic. A novel lattice hydrodynamic model is proposed by integrating the flux limit effect (FLE) in a two-lane system under V2X environment. Linear stability analysis is conducted to obtain the stability conditions regarding FLE on two lanes, indicating that FLE can expand the stable range during lane change. Furthermore, numerical simulation is carried out to investigate the effects of FLE on density waves, fuel consumption, and pollution emissions in a two-lane system, demonstrating that FLE enhances traffic stability while reducing fuel consumption and pollution emissions during lane change.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Mathematics, Applied
Yicai Zhang, Min Zhao, Dihua Sun, Shi Hui Wang, Shuai Huang, Dong Chen
Summary: This study investigates the mixed traffic lattice hydrodynamic model to analyze the mixed traffic situation with connected and non-connected vehicles, and obtains the stability conditions of the traffic system and the modified Korteweg-de Vries equation through linear and nonlinear analysis. The numerical simulation results confirm the theoretical findings, showing that increasing the communication range and permeability of connected vehicles will enhance the stability of the traffic system.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2021)
Article
Computer Science, Interdisciplinary Applications
Yuxuan Li, Tong Zhou, Guanghan Peng
Summary: This paper presents a novel lattice hydrodynamic model for two lanes by considering the interruption probability effect. The stability of the two-lane system is analyzed through linear stability analysis, and the results indicate that the interruption probability effect can extend the stable region and strengthen the stability of the two-lane system. Simulation tests also show that the fuel consumption and emissions decrease significantly with the increasing interruption probability effect on two lanes.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C
(2023)
Article
Physics, Multidisciplinary
Guanghan Peng, Teti Jia, Hua Kuang, Huili Tan
Summary: A novel lattice hydrodynamic model is proposed based on the delayed effect of synergistic information transmission involving density and flux. The model's stability condition is theoretically analyzed, and the modified Korteweg-de Vries equation near the critical point is obtained through nonlinear analysis. The results show that the delayed effect of collaborative information transmission can effectively suppress traffic congestion, reduce energy consumption, and improve the stability of the traffic system.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Ting Wang, Rongjun Cheng, Hongxia Ge
Summary: This paper explores the impact of mixed traffic flow, self-stabilization effect, and lane changing behavior on traffic flow stability through an extended two-lane lattice hydrodynamic model. The results show that self-stabilization effect and lane changing behavior can alleviate traffic congestion. The numerical simulation verifies the theoretical findings and highlights the importance of considering these factors in traffic flow analysis.
ENGINEERING COMPUTATIONS
(2021)
Article
Physics, Multidisciplinary
Lixiang Li, Rongjun Cheng, Hongxia Ge
Summary: A novel two-dimensional lattice hydrodynamic model is proposed in this study, with linear stability condition derived by exploiting control method and kink-antikink solution of modified Korteweg-de Vries (mKdV) equation obtained through nonlinear analysis. The numerical simulation results confirm the effectiveness of the new control signal in stabilizing traffic flow, while also indicating that increasing the driver's memory time leads to increased traffic flow instability.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Jin Wan, Min Zhao
Summary: A switched controller is proposed to stabilize traffic flow on mixed roads, and numerical simulations confirm its effectiveness in suppressing congestion with lower feedback gains.
Article
Physics, Applied
Dongdong Qiu, Qing Xu, Cong Zhai
Summary: This study proposes a new lattice hydrodynamic model that takes into account both vehicular honk behavior and the driver's predictive effect. The analysis shows that vehicular honk behavior and the driver's predictive effect contribute to the stability of traffic flow.
MODERN PHYSICS LETTERS B
(2022)
Article
Computer Science, Interdisciplinary Applications
Zhang Yicai, Zhao Min, Sun Dihua, Zhou Zhaomin, Chen Dong
Summary: The paper introduces a new hydrodynamic traffic flow model that takes into account drivers' sensory memory and proposes a corresponding feedback control scheme. It is found through stability analysis that drivers' sensory memory can influence the instability region of traffic flow, and the new feedback control term can reduce this unstable area. Numerical simulations verify the impacts of drivers' sensory memory and the control sign on short-term, long-term behaviors, and hysteresis loop of traffic flow.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C
(2021)
Article
Physics, Applied
Li Huang, Sai-Nan Zhang, Shu-Bin Li, Feng-Ying Cui, Jing Zhang, Tao Wang
Summary: A new hydrodynamic lattice model is developed in this study by introducing a sigmoid function to describe the relation between drivers' response time and current speed. Numerical experiments and real data verification show that the model accurately reproduces the density wave evolution in actual traffic.
MODERN PHYSICS LETTERS B
(2023)
Article
Physics, Multidisciplinary
Yi Long, Mei Zhang, Shuhong Yang, Guanghan Peng
Summary: A new lattice model is constructed in this study to address the limiting flux problem in urban transportation and restrain traffic congestion by considering the flux limit effect under V2X environment. The traffic stability condition, involving the feedback gain of flux limit, is obtained using control theory. Numerical simulations are performed to investigate the early time effect, long-time effect, and hysteresis loop of the flux limit effect. The results show that the flux limit effect improves the traffic system in both the early and long term and effectively curbs traffic congestion.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Physics, Applied
Huimin Liu, Rongjun Cheng, Hongxia Ge
Summary: A novel two-lane lattice hydrodynamic model considering heterogeneous traffic flow on a gradient road is proposed and validated through linear stability analysis and nonlinear analysis. The study reveals that factors such as time lane change, slope, and mixing of different types of vehicles significantly influence traffic flow stability. Additionally, the modified Korteweg-de Vries equation is derived to describe the propagation characteristics of traffic density waves near critical points.
MODERN PHYSICS LETTERS B
(2021)
Article
Physics, Multidisciplinary
Xiaoyu Shi, Jian Zhang, Xia Jiang, Juan Chen, Wei Hao, Bo Wang
Summary: This study presents a novel framework using offline reinforcement learning to improve energy consumption in road transportation. By leveraging real-world human driving trajectories, the proposed method achieves significant improvements in energy consumption. The offline learning approach demonstrates generalizability across different scenarios.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Junhyuk Woo, Soon Ho Kim, Hyeongmo Kim, Kyungreem Han
Summary: Reservoir computing (RC) is a new machine-learning framework that uses an abstract neural network model to process information from complex dynamical systems. This study investigates the neuronal and network dynamics of liquid state machines (LSMs) using numerical simulations and classification tasks. The findings suggest that the computational performance of LSMs is closely related to the dynamic range, with a larger dynamic range resulting in higher performance.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Yuwei Yang, Zhuoxuan Li, Jun Chen, Zhiyuan Liu, Jinde Cao
Summary: This paper proposes an extreme learning machine (ELM) algorithm based on residual correction and Tent chaos sequence (TRELM-DROP) for accurate prediction of traffic flow. The algorithm reduces the impact of randomness in traffic flow through the Tent chaos strategy and residual correction method, and avoids weight optimization using the iterative method. A DROP strategy is introduced to improve the algorithm's ability to predict traffic flow under varying conditions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Chengwei Dong, Min Yang, Lian Jia, Zirun Li
Summary: This work presents a novel three-dimensional system with multiple types of coexisting attractors, and investigates its dynamics using various methods. The mechanism of chaos emergence is explored, and the periodic orbits in the system are studied using the variational method. A symbolic coding method is successfully established to classify the short cycles. The flexibility and validity of the system are demonstrated through analogous circuit implementation. Various chaos-based applications are also presented to show the system's feasibility.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Viorel Badescu
Summary: This article discusses the maximum work extraction from confined particles energy, considering both reversible and irreversible processes. The results vary for different types of particles and conditions. The concept of exergy cannot be defined for particles that undergo spontaneous creation and annihilation. It is also noted that the Carnot efficiency is not applicable to the conversion of confined thermal radiation into work.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
P. M. Centres, D. J. Perez-Morelo, R. Guzman, L. Reinaudi, M. C. Gimenez
Summary: In this study, a phenomenological investigation of epidemic spread was conducted using a model of agent diffusion over a square region based on the SIR model. Two possible contagion mechanisms were considered, and it was observed that the number of secondary infections produced by an individual during its infectious period depended on various factors.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zuan Jin, Minghui Ma, Shidong Liang, Hongguang Yao
Summary: This study proposes a differential variable speed limit (DVSL) control strategy considering lane assignment, which sets dynamic speed limits for each lane to attract vehicle lane-changing behaviors before the bottleneck and reduce the impact of traffic capacity drop. Experimental results show that the proposed DVSL control strategy can alleviate traffic congestion and improve efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Matthew Dicks, Andrew Paskaramoorthy, Tim Gebbie
Summary: In this study, we investigate the learning dynamics of a single reinforcement learning optimal execution trading agent when it interacts with an event-driven agent-based financial market model. The results show that the agents with smaller state spaces converge faster and are able to intuitively learn to trade using spread and volume states. The introduction of the learning agent has a robust impact on the moments of the model, except for the Hurst exponent, which decreases, and it can increase the micro-price volatility as trading volumes increase.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zhouzhou Yao, Xianyu Wu, Yang Yang, Ning Li
Summary: This paper developed a cooperative lane-changing decision system based on digital technology and indirect reciprocity. By introducing image scoring and a Q-learning based reinforcement learning algorithm, drivers can continuously evaluate gains and adjust their strategies. The study shows that this decision system can improve driver cooperation and traffic efficiency, achieving over 50% cooperation probability under any connected vehicles penetration and traffic density, and reaching 100% cooperation probability under high penetration and medium to high traffic density.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Josephine Nanyondo, Henry Kasumba
Summary: This paper presents a multi-class Aw-Rascle (AR) model with area occupancy expressed in terms of vehicle class proportions. The qualitative properties of the proposed equilibrium velocity and the stability conditions of the model are established. The numerical results show the effect of proportional densities on the flow of vehicle classes, indicating the realism of the proposed model.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Oliver Smirnov
Summary: This study proposes a new method for simultaneously estimating the parameters of the 2D Ising model. The method solves a constrained optimization problem, where the objective function is a pseudo-log-likelihood and the constraint is the Hamiltonian of the external field. Monte Carlo simulations were conducted using models of different shapes and sizes to evaluate the performance of the method with and without the Hamiltonian constraint. The results demonstrate that the proposed estimation method yields lower variance across all model shapes and sizes compared to a simple pseudo-maximum likelihood.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Przemyslaw Chelminiak
Summary: The study investigates the first-passage properties of a non-linear diffusion equation with diffusivity dependent on the concentration/probability density through a power-law relationship. The survival probability and first-passage time distribution are determined based on the power-law exponent, and both exact and approximate expressions are derived, along with their asymptotic representations. The results pertain to diffusing particles that are either freely or harmonically trapped. The mean first-passage time is finite for the harmonically trapped particle, while it is divergent for the freely diffusing particle.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Hidemaro Suwa
Summary: The choice of transition kernel is crucial for the performance of the Markov chain Monte Carlo method. A one-parameter rejection control transition kernel is proposed, and it is shown that the rejection process plays a significant role in determining the sampling efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Xudong Wang, Yao Chen
Summary: This article investigates the joint influence of expanding medium and constant force on particle diffusion. By starting from the Langevin picture and introducing the effect of external force in two different ways, two models with different force terms are obtained. Detailed analysis and derivation yield the Fokker-Planck equations and moments for the two models. The sustained force behaves as a decoupled force, while the intermittent force changes the diffusion behavior with specific effects depending on the expanding rate of the medium.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)