Jie Zhou

ORCID: 0000-0002-0029-450X
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About
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Research Areas
  • Traffic control and management
  • Evacuation and Crowd Dynamics
  • Metallurgy and Material Forming
  • Traffic Prediction and Management Techniques
  • Metal Forming Simulation Techniques
  • Target Tracking and Data Fusion in Sensor Networks
  • Composite Structure Analysis and Optimization
  • Laser and Thermal Forming Techniques
  • Transportation Planning and Optimization
  • Fault Detection and Control Systems
  • Mechanical Behavior of Composites
  • Wind and Air Flow Studies
  • Tropical and Extratropical Cyclones Research
  • Vibration and Dynamic Analysis
  • Structural Analysis and Optimization
  • Traffic and Road Safety
  • Simulation and Modeling Applications
  • Structural Analysis of Composite Materials
  • Structural Response to Dynamic Loads
  • Control Systems and Identification
  • Structural Load-Bearing Analysis
  • Underwater Vehicles and Communication Systems
  • Dynamics and Control of Mechanical Systems
  • Metal Alloys Wear and Properties
  • Distributed Sensor Networks and Detection Algorithms

University of Macau
2024

Northwestern Polytechnical University
2013-2024

Lanzhou Jiaotong University
2023

Beijing Institute of Technology
2023

Sensors (United States)
2021

Wuhan University of Technology
2020

Zhejiang Ocean University
2013-2019

Xi'an Technological University
2019

Beijing University of Technology
2009-2019

Ministry of Education of the People's Republic of China
2014

10.1016/j.physa.2013.11.007 article EN Physica A Statistical Mechanics and its Applications 2013-11-23

10.1007/s11071-015-2010-8 article EN Nonlinear Dynamics 2015-03-11

In order to investigate the effect of driver’s memory during a period time upon traffic dynamics, an extended lattice hydrodynamic model for flow is proposed and studied analytically numerically in this paper. The linear stability analysis reveals that length has important on flow. factor will lead occurrence congestion. Three typical nonlinear wave equations including Burgers, Korteweg-de Vries modified equation are derived describe evolution density three different regions, which stable,...

10.1142/s0129183117500863 article EN International Journal of Modern Physics C 2017-05-24

In this paper, a modified full velocity difference model (FVDM) based on car-following theory is proposed with the consideration of deviation which represents inexact judgement velocity. The stability condition obtained by use linear analysis. It shown that traffic flow varies extent Burgers, Korteweg-de Vries (KdV) and K-dV (MKdV) equations are derived to describe triangular shock waves, soliton waves kink–antikink in stable, metastable unstable region, respectively. numerical simulations...

10.1142/s0129183116500698 article EN International Journal of Modern Physics C 2015-11-23

Considering the effect of density difference, an extended lattice hydrodynamic model for bidirectional pedestrian flow is proposed in this paper. The stability condition obtained by use linear analysis. It shown that varies with reaction coefficient difference. Based on nonlinear analysis method, Burgers, Korteweg–de Vries (KdV) and modified (MKdV) equations are derived to describe triangular shock waves, soliton waves kink–antikink stable, metastable unstable regions, respectively. results...

10.1142/s0129183115500928 article EN International Journal of Modern Physics C 2014-11-28

In this study, a generalised systematic bias (SB) is presented, which represented via dynamic model driven by structured unknown inputs (UI). The online SB estimation implemented in two steps. the first step, state-free measurement and UI-free are derived case that condition holds. second linear minimum mean squared filter obtained orthogonal principle, sufficient of filtering stability presented. A simulation about target tracking given to verify proposed method.

10.1049/iet-rsn.2013.0311 article EN IET Radar Sonar & Navigation 2014-07-24

10.1016/j.physa.2019.122225 article EN Physica A Statistical Mechanics and its Applications 2019-08-08

This paper first presents an adaptive expectation-maximization (AEM) control algorithm based on a measurement-data-driven model to reduce the variance of microelectromechanical system (MEMS) accelerometer sensor under multi disturbances. Significantly different characteristics disturbances, consisting drastic-magnitude, short-duration vibration in external environment, and slowly-varying, long-duration fluctuation inside are constructed together with measurement accelerometer. Next, through...

10.3390/mi10050294 article EN cc-by Micromachines 2019-04-30

This paper addresses the problem of joint estimation system state and generalized sensor bias (GSB) under a common unknown input (UI) in case evolution heterogeneous network. First, equivalent UI-free GSB dynamic model is derived local optimal estimates are obtained each node; Second, based on by node from its neighbors, UI estimated via least-squares method, then fused consensus processing; Finally, multi-sensor further refined estimate UI. A numerical example distributed target tracking...

10.3390/s16091407 article EN cc-by Sensors 2016-09-01

The paper firstly calculates the optimal location of external torpedoes. And then dynamics model UUV hanging torpedoes externally is established. Also, force and moment exerted on unmanned underwater vehicle are analyzed. Based model, corresponding maneuverability simulation program derived using SIMULINK. results show variation after also shows that appropriate has strong functions.

10.1109/car.2009.68 article EN International Asia Conference on Informatics in Control, Automation and Robotics 2009-02-01
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