Article
Engineering, Mechanical
Ziyu Song, Haitao Ding
Summary: In this study, a car-following model is proposed to explain the car-following behavior of HDVs, AVs, and CAVs in mixed traffic. The model incorporates the velocity of surrounding vehicles, the difference in velocity, and the headway between each pair of vehicles. The model's parameters are optimized based on real road test data, and its accuracy is verified through simulation. The results show that the proposed model outperforms the IDM, ACC, and CACC models in simulating car-following behavior of HDVs, AVs, and CAVs.
NONLINEAR DYNAMICS
(2023)
Article
Transportation Science & Technology
Pengcheng Wang, Xiaozheng He, Yu Wei, Xinkai Wu, Yunpeng Wang
Summary: Connected automated vehicles (CAVs) can improve traffic throughput, safety, and energy efficiency through advanced control and communication technology. This research explores the damping oscillation characteristics of CAVs to enhance their reliability against continuous perturbations, emphasizing the importance of preventing platoon oscillations from resonance to ensure CAV platooning reliability.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Transportation Science & Technology
Jie Sun, Zuduo Zheng, Anshuman Sharma, Jian Sun
Summary: This study investigates the stability characteristics of human-driven connected vehicles (CV) and extends a recently-developed car-following (CF) model by considering human factors. The results show that the connected environment improves CF stability and reduces traffic congestion, and higher compliance to information benefits traffic flow stability, except in situations with large time delays.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Review
Chemistry, Multidisciplinary
Vittorio Astarita, Vincenzo Pasquale Giofre, Giuseppe Guido, Alessandro Vitale
Summary: This paper reviews the latest developments in traffic signal control methods based on data from smartphones or connected vehicles, highlighting the potential benefits such as the utilization of real-time positional data and better-regulated intersections. The use of scientometric tools provides insights into trending ideas and concepts in the field, helping scientists and professionals identify relevant documents for further development of new traffic signal control systems.
APPLIED SCIENCES-BASEL
(2021)
Article
Transportation Science & Technology
Tianyi Chen, Siyuan Gong, Meng Wang, Xin Wang, Yang Zhou, Bin Ran
Summary: This study provides a stochastic framework to mathematically derive the impact of multiple factors on the capacity of pure connected automated vehicle (CAV) traffic. By considering a virtual car-following control strategy, the study analyzes the effects of free-flow speed, control gains, communication loss, and traffic arrival pattern on CAV traffic capacity. The results demonstrate the significant influence of stochastic communication loss and traffic arrival pattern on the capacity of pure CAV traffic.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Civil
Huaqing Ma, Hao Wu, Yucong Hu, Zhiwei Chen, Jialing Luo
Summary: The proposed multiple-factors aware car-following (MACF) model provides an effective solution for connected and autonomous vehicles (CAV) by considering vehicle co-optimization velocity and the impact of multiple factors to improve the performance of transportation systems. The model's stability is theoretically proven and empirically verified, showing that integrating CAVs based on the MACF model effectively improves the average velocity and throughput of the system.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Civil
Shuyi Wang, Bin Yu, Miyi Wu
Summary: The study introduced a new car-following (CF) model (MVCM model) implemented through V2X technology in CVs, which showed excellent stability and disturbance resistance. The impact on traffic characteristics was significant.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Physics, Multidisciplinary
Lijing Ma, Shiru Qu, Lijun Song, Zhiteng Zhang, Jie Ren
Summary: This paper proposes a novel hybrid car-following model called the physics-informed conditional generative adversarial network (PICGAN) for multi-step car-following modeling in mixed traffic flow scenarios. The PICGAN leverages the strengths of both physics-based and deep-learning-based models by utilizing the inherent structure of GAN. The effectiveness of the proposed model is demonstrated through case studies using the NGSIM I-80 dataset, showing superior trajectory reproduction and potential for replacing conventional models in trajectory prediction tasks.
Article
Chemistry, Analytical
Ziwei Yi, Wenqi Lu, Xu Qu, Linheng Li, Peipei Mao, Bin Ran
Summary: Connected vehicle (CV) technologies are transforming traditional traffic models, with the proposal of bidirectional vehicle information structure (BDVIS) and derived multiple vehicles information structure (DMVIS) to enhance car-following models using acceleration information of preceding and following vehicles. Both BDVIS and DMVIS demonstrate better performance in improving traffic flow stability compared to the original car-following model, and provide advantages for differently positioned vehicles within a platoon.
Article
Engineering, Civil
Shaohua Cui, Feng Cao, Bin Yu, Baozhen Yao
Summary: As inter-vehicle communication and automatic driving technology continue to develop, regular vehicles, connected vehicles, and connected autonomous vehicles (CAVs) will coexist on the road for a long time. The impact of connected and autonomous technologies on heterogeneous traffic stability was theoretically analyzed, with the conclusion that certain communication and cooperation methods can help stabilize mixed traffic. Increasing CAV penetration rates improve the stability of heterogeneous traffic, while a larger single fleet size can weaken stability according to the theoretical results.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Haotian Shi, Yang Zhou, Keshu Wu, Sikai Chen, Bin Ran, Qinghui Nie
Summary: This study proposes an innovative integrated two-dimensional control strategy for connected automated vehicles, using deep reinforcement learning. The strategy efficiently controls the vehicles in terms of both stability-wise longitudinal control performance and accurate lateral path-tracking performance. The controller utilizes vehicle-to-everything communication and roadway geometry information, and applies a physics-informed DRL state fusion approach and reward function to better utilize the information and borrow the merits of control theory concepts. Simulated experiments validate the controller's accuracy and stability-wise performance in diverse traffic scenarios.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Physics, Applied
Lizhen Lin, Hongxia Ge, Rongjun Cheng
Summary: This paper proposes an extended car-following model considering cyberattacks under CVs environment and analyzes the potential impact of cyberattacks on mixed traffic flow. The results show that cyberattacks can lead to increased traffic behavior risks such as queue time extension, congestion, and rear end collision, with cooperative attacks being the most serious.
MODERN PHYSICS LETTERS B
(2022)
Article
Engineering, Civil
Hanqing Xia, Xiaoming Liu, Zechao Ma, Fang Zhu, Lin Zhang, Yingjie Zhao, Yuanrong Wang
Summary: This paper proposes a method for estimating the speed and position of unsampled vehicles using sampled data from connected automated vehicles. A velocity estimation model incorporating a speed correction factor and a position estimation model based on optimizing IDM parameters are developed. Experimental results demonstrate the accuracy and practicality of the proposed method under different density and penetration rate conditions.
JOURNAL OF ADVANCED TRANSPORTATION
(2023)
Article
Engineering, Multidisciplinary
Shihao Li, Bojian Zhou, Min Xu
Summary: Connected automated vehicles can operate autonomously by monitoring real-time traffic information through on-board sensors. However, sensor detection errors can lead to deviations between multiple measured information and true information, affecting both the host vehicle and the connected automated vehicular flow, causing instability in car-following behavior and worsening traffic congestion. This study develops a generalized model using uncertainty levels of multiple information to describe the dynamics of connected automated vehicles and proposes a novel car-following controller to improve traffic stability under multiple information uncertainties.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Physics, Multidisciplinary
Lin Hou, Yulong Pei, Qingling He
Summary: In this study, a Multi-Lane MultiVehicle State Information Index Smoothing Fusion (MLMVISF) model is proposed to enhance the stability of heterogeneous traffic flow in smart grids. Through linear stability analysis and numerical simulation, the model shows a significant improvement in stability compared to other models.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Engineering, Multidisciplinary
A. A. Aganin, A. I. Davletshin
Summary: A mathematical model of interaction of weakly non-spherical gas bubbles in liquid is proposed in this paper. The model equations are more accurate and compact compared to existing analogs. Five problems are considered for validation, and the results show good agreement with experimental data and numerical solutions. The model is also used to analyze the behavior of bubbles in different clusters, providing meaningful insights.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Hao Wu, Jie Sun, Wen Peng, Lei Jin, Dianhua Zhang
Summary: This study establishes an analytical model for the coupling of temperature, deformation, and residual stress to explore the mechanism of residual stress formation in hot-rolled strip and how to control it. The accuracy of the model is verified by comparing it with a finite element model, and a method to calculate the critical exit crown ratio to maintain strip flatness is proposed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Shengwen Tu, Naoki Morita, Tsutomu Fukui, Kazuki Shibanuma
Summary: This study aimed to extend the finite element method to cope with elastic-plastic problems by introducing the s-version FEM. The s-version FEM, which overlays a set of local mesh with fine element size on the conventional FE mesh, simplifies domain discretisation and provides accurate numerical predictions. Previous applications of the s-version FEM were limited to elastic problems, lacking instructions for stress update in plasticity. This study presents detailed instructions and formulations for addressing plasticity problems with the s-version FEM and analyzes a stress concentration problem with linear/nonlinear material properties.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bo Fan, Zhongmin Wang
Summary: A 3D rotating hyperelastic composite REF model was proposed to analyze the influence of tread structure and rotating angular speed on the vibration characteristics of radial tire. Nonlinear dynamic differential equations and modal equations were established to study the effects of internal pressure, tread pressure sharing ratio, belt structure, and rotating angular speed on the vibration characteristics.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
X. W. Chen, Z. Q. Yue, Wendal Victor Yue
Summary: This paper examines the axisymmetric problem of a flat mixed-mode annular crack near and parallel to an arbitrarily graded interface in functionally graded materials (FGMs). The crack is modeled as plane circular dislocation loop and an efficient solution for dislocation in FGMs is used to calculate the stress field at the crack plane. The analytical solutions of the stress intensity factors are obtained and numerical study is conducted to investigate the fracture mechanics of annular crack in FGMs.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xumin Guo, Jianfei Gu, Hui Li, Kaihua Sun, Xin Wang, Bingjie Zhang, Rangwei Zhang, Dongwu Gao, Junzhe Lin, Bo Wang, Zhong Luo, Wei Sun, Hui Ma
Summary: In this study, a novel approach combining the transfer matrix method and lumped parameter method is proposed to analyze the vibration response of aero-engine pipelines under base harmonic and random excitations. The characteristics of the pipelines are investigated through simulation and experiments, validating the effectiveness of the proposed method.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xiangyu Sha, Aizhong Lu, Ning Zhang
Summary: This paper investigates the stress and displacement of a layered soil with a fractional-order viscoelastic model under time-varying loads. The correctness of the solutions is validated using numerical methods and comparison with existing literature. The research findings are of significant importance for exploring soil behavior and its engineering applications under time-varying loads.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Thuy Dong Dang, Thi Kieu My Do, Minh Duc Vu, Ngoc Ly Le, Tho Hung Vu, Hoai Nam Vu
Summary: This paper investigates the nonlinear torsional buckling of corrugated core sandwich toroidal shell segments with functionally graded graphene-reinforced composite (FG-GRC) laminated coatings in temperature change using the Ritz energy method. The results show the significant beneficial effects of FG-GRC laminated coatings and corrugated core on the nonlinear buckling responses of structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Zhihao Zhai, Chengbiao Cai, Qinglai Zhang, Shengyang Zhu
Summary: This paper investigates the effect of localized cracks induced by environmental factors on the dynamic performance and service life of ballastless track in high-speed railways. A mathematical approach for forced vibrations of Mindlin plates with a side crack is derived and implemented into a train-track coupled dynamic system. The accuracy of this approach is verified by comparing with simulation and experimental results, and the dynamic behavior of the side crack under different conditions is analyzed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
James Vidler, Andrei Kotousov, Ching-Tai Ng
Summary: The far-field methodology, developed by J.C. Maxwell, is utilized to estimate the effective third order elastic constants of composite media containing random distribution of spherical particles. The results agree with previous studies and can be applied to homogenization problems in other fields.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Kim Q. Tran, Tien-Dat Hoang, Jaehong Lee, H. Nguyen-Xuan
Summary: This study presents novel frameworks for graphene platelets reinforced functionally graded triply periodic minimal surface (GPLR-FG-TPMS) plates and investigates their performance through static and free vibration analyses. The results show that the mass density framework has potential for comparing different porous cores and provides a low weight and high stiffness-to-weight ratio. Primitive plates exhibit superior performance among thick plates.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bence Hauck, Andras Szekrenyes
Summary: This study explores several methods for computing the J-integral in laminated composite plate structures with delamination. It introduces two special types of plate finite elements and a numerical algorithm. The study presents compact formulations for calculating the J-integral and applies matrix multiplication to take advantage of plate transition elements. The models and algorithms are applied to case studies and compared with analytical and previously used finite element solutions.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Wu Ce Xing, Jiaxing Wang, Yan Qing Wang
Summary: This paper proposes an effective mathematical model for bolted flange joints to study their vibration characteristics. By modeling the flange and bolted joints, governing equations are derived. Experimental studies confirm that the model can accurately predict the vibration characteristics of multiple-plate structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Pingchao Yu, Li Hou, Ke Jiang, Zihan Jiang, Xuanjun Tao
Summary: This paper investigates the imbalance problem in rotating machinery and finds that mass imbalance can induce lateral-torsional coupling vibration. By developing a model and conducting detailed analysis, it is discovered that mass imbalance leads to nonlinear time-varying characteristics and there is no steady-state torsional vibration in small unbalanced rotors. Under largely unbalanced conditions, both resonant and unstable behavior can be observed, and increasing lateral damping can suppress instability and reduce lateral amplitude in the resonance region.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Yong Cao, Ziwen Guo, Yilin Qu
Summary: This paper investigates the mechanically induced electric potential and charge redistribution in a piezoelectric semiconductor cylindrical shell. The results show that doping levels can affect the electric potentials and mechanical displacements, and alter the peak position of the zeroth-order electric potential. The doping level also has an inhibiting effect on the first natural frequency. These findings are crucial for optimizing the design and performance of cylindrical shell-shaped sensors and energy harvesters.
APPLIED MATHEMATICAL MODELLING
(2024)