Zielke, T.,
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Intensity and Edge-Based Symmetry Detection with an
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IEEE DOI
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Car Following,
ECCV92(865-873).
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Lohner, H.[Herbert],
Dominke, P.[Peter],
Cao, C.T.[Chi-Thuan],
Leimbach, K.D.[Klaus-Dieter],
Harter, W.[Werner],
Hommel, M.[Mathias],
Automatic following guidance system for motor vehicles,
US_Patent6,370,471, Apr 9, 2002
WWW Link. Variety of sensors and techniques.
BibRef
0204
Kato, T.,
Ninomiya, Y.,
Masaki, I.,
Preceding vehicle recognition based on learning from sample images,
ITS(3), No. 4, December 2002, pp. 252-260.
IEEE Abstract.
0402
BibRef
Segawa, E.[Eigo],
Shiohara, M.[Morito],
Sasaki, S.[Shigeru],
Hashiguchi, N.[Norio],
Takashima, T.[Tomonobu],
Tohno, M.[Masatoshi],
Preceding Vehicle Detection Using Stereo Images and Non-scanning
Millimeter-Wave Radar,
IEICE(E89-D), No. 7, July 2006, pp. 2101-2108.
DOI Link
0607
BibRef
Panwai, S.,
Dia, H.,
Neural Agent Car-Following Models,
ITS(8), No. 1, March 2007, pp. 60-70.
IEEE DOI
0703
BibRef
Ma, X.,
Andreasson, I.,
Behavior Measurement, Analysis, and Regime Classification in Car
Following,
ITS(8), No. 1, March 2007, pp. 144-156.
IEEE DOI
0703
BibRef
Wu, Z.,
Liu, Y.,
Pan, G.,
A Smart Car Control Model for Brake Comfort Based on Car Following,
ITS(10), No. 1, March 2009, pp. 42-46.
IEEE DOI
0903
BibRef
Jin, P.J.,
Yang, D.[Da],
Ran, B.[Bin],
Reducing the Error Accumulation in Car-Following Models Calibrated
With Vehicle Trajectory Data,
ITS(15), No. 1, February 2014, pp. 148-157.
IEEE DOI
1403
acceleration control
BibRef
Saffarian, M.,
de Winter, J.C.F.,
Happee, R.,
Enhancing Driver Car-Following Performance with a Distance and
Acceleration Display,
HMS(43), No. 1, January 2013, pp. 8-16.
IEEE DOI
1301
BibRef
Pan, D.,
Zheng, Y.,
Velocity difference control based on dynamic tracking of safe
following distance in the process of vehicle following,
IET-ITS(8), No. 3, May 2014, pp. 232-243.
DOI Link
1407
BibRef
Khodayari, A.,
Ghaffari, A.,
Kazemi, R.,
Alimardani, F.,
Braunstingl, R.,
Improved adaptive neuro fuzzy inference system car-following
behaviour model based on the driver-vehicle delay,
IET-ITS(8), No. 4, June 2014, pp. 323-332.
DOI Link
1407
BibRef
Butakov, V.A.,
Ioannou, P.A.,
Driver/Vehicle Response Diagnostic System for the Vehicle-Following
Case,
ITS(15), No. 5, October 2014, pp. 1947-1957.
IEEE DOI
1410
Gaussian distribution
BibRef
Higgs, B.,
Abbas, M.,
Segmentation and Clustering of Car-Following Behavior:
Recognition of Driving Patterns,
ITS(16), No. 1, February 2015, pp. 81-90.
IEEE DOI
1502
Acceleration
BibRef
Morton, J.,
Wheeler, T.A.,
Kochenderfer, M.J.,
Analysis of Recurrent Neural Networks for Probabilistic Modeling of
Driver Behavior,
ITS(18), No. 5, May 2017, pp. 1289-1298.
IEEE DOI
1705
Acceleration, Hidden Markov models, Mathematical model,
Predictive models, Recurrent neural networks, Vehicles,
Recurrent neural networks, autonomous vehicles,
car-following models, deep learning, prediction, methods
BibRef
Dou, Y.,
Ni, D.,
Wang, Z.,
Wang, J.,
Yan, F.,
Strategic car-following gap model considering the effect of cut-ins
from adjacent lanes,
IET-ITS(10), No. 10, 2016, pp. 658-665.
DOI Link
1701
adaptive control
BibRef
Zhu, F.,
Ukkusuri, S.V.,
An Optimal Estimation Approach for the Calibration of the
Car-Following Behavior of Connected Vehicles in a Mixed Traffic
Environment,
ITS(18), No. 2, February 2017, pp. 282-291.
IEEE DOI
1702
Calibration
BibRef
Wang, X.,
Li, S.,
Chen, M.Z.Q.,
Composite Backstepping Consensus Algorithms of Leader-Follower
Higher-Order Nonlinear Multiagent Systems Subject to Mismatched
Disturbances,
Cyber(48), No. 6, June 2018, pp. 1935-1946.
IEEE DOI
1805
Backstepping, Control design, Feedback control,
Multi-agent systems, Observers, Protocols, Backstepping,
output consensus
BibRef
Guo, X.,
Wang, J.,
Liao, F.,
Teo, R.S.H.,
CNN-Based Distributed Adaptive Control for Vehicle-Following Platoon
With Input Saturation,
ITS(19), No. 10, October 2018, pp. 3121-3132.
IEEE DOI
1810
Neural networks, Acceleration, Nonlinear dynamical systems,
Chebyshev approximation, Stability analysis, Vehicle dynamics,
sliding mode
BibRef
Li, Y.F.[Yong-Fu],
Zhang, L.[Li],
Zheng, H.[Hong],
He, X.Z.[Xiao-Zheng],
Peeta, S.[Srinivas],
Zheng, T.X.[Tai-Xiong],
Li, Y.G.[Yin-Guo],
Nonlane-Discipline-Based Car-Following Model for Electric Vehicles in
Transportation-Cyber-Physical Systems,
ITS(19), No. 1, January 2018, pp. 38-47.
IEEE DOI
1801
Acceleration, Analytical models, Energy consumption,
Mathematical model, Numerical models, Roads, Stability analysis,
roadside device
BibRef
Hao, S.X.[Shen-Xue],
Yang, L.[Licai],
Shi, Y.F.[Yun-Feng],
Data-driven car-following model based on rough set theory,
IET-ITS(12), No. 1, February 2018, pp. 49-57.
DOI Link
1801
BibRef
Ro, J.W.,
Roop, P.S.,
Malik, A.,
Ranjitkar, P.,
A Formal Approach for Modeling and Simulation of Human Car-Following
Behavior,
ITS(19), No. 2, February 2018, pp. 639-648.
IEEE DOI
1802
Computational modeling, Data models, Delays, Human factors,
Mathematical model, Vehicle dynamics, Vehicles,
vehicle dynamics
BibRef
Wang, X.,
Jiang, R.,
Li, L.,
Lin, Y.,
Zheng, X.,
Wang, F.Y.,
Capturing Car-Following Behaviors by Deep Learning,
ITS(19), No. 3, March 2018, pp. 910-920.
IEEE DOI
1804
Acceleration, Biological neural networks, Machine learning,
Neurons, Numerical models, Vehicles,
recurrent neural network (RNN)
BibRef
Zhao, D.,
Huang, X.,
Peng, H.,
Lam, H.,
Le Blanc, D.J.,
Accelerated Evaluation of Automated Vehicles in Car-Following
Maneuvers,
ITS(19), No. 3, March 2018, pp. 733-744.
IEEE DOI
1804
Acceleration, Data models, Lead, Monte Carlo methods, Safety,
Stochastic processes, Vehicles, Automated vehicles, active safety,
evaluation
BibRef
Song, D.,
Tharmarasa, R.,
Kirubarajan, T.,
Fernando, X.N.,
Multi-Vehicle Tracking With Road Maps and Car-Following Models,
ITS(19), No. 5, May 2018, pp. 1375-1386.
IEEE DOI
1805
Acceleration, Clustering algorithms, Roads, Target tracking,
Vehicle dynamics, Multi-vehicle tracking,
road-map aided tracking
BibRef
Pan, D.,
Zheng, Y.,
Qiu, J.,
Zhao, L.,
Synchronous Control of Vehicle Following Behavior and Distance Under
the Safe and Efficient Steady-Following State: Two Case Studies of
High-Speed Train Following Control,
ITS(19), No. 5, May 2018, pp. 1445-1456.
IEEE DOI
1805
Acceleration, Adaptation models, Calibration, Real-time systems,
Safety, Vehicle dynamics, Vehicles, Vehicle following system,
velocity-difference control
BibRef
Ciuffo, B.,
Makridis, M.,
Toledo, T.,
Fontaras, G.,
Capability of Current Car-Following Models to Reproduce Vehicle
Free-Flow Acceleration Dynamics,
ITS(19), No. 11, November 2018, pp. 3594-3603.
IEEE DOI
1812
acceleration, automobiles, energy consumption, road safety,
road traffic, roads, traffic engineering computing, transportation,
vehicle dynamics
BibRef
Cattin, J.[Johana],
Leclercq, L.[Ludovic],
Pereyron, F.[Florian],
Faouzi, N.E.E.[Nour-Eddin El],
Calibration of Gipps' car-following model for trucks and the impacts on
fuel consumption estimation,
IET-ITS(13), No. 2, February 2019, pp. 367-375.
DOI Link
1902
BibRef
Lin, Q.,
Zhang, Y.,
Verwer, S.,
Wang, J.,
MOHA: A Multi-Mode Hybrid Automaton Model for Learning Car-Following
Behaviors,
ITS(20), No. 2, February 2019, pp. 790-796.
IEEE DOI
1902
Data models, Learning automata, Time series analysis,
Numerical models, Vehicles, Computational modeling, Data mining,
simulation and control
BibRef
Wang, Y.,
Zhang, J.,
Lu, G.,
Influence of Driving Behaviors on the Stability in Car Following,
ITS(20), No. 3, March 2019, pp. 1081-1098.
IEEE DOI
1903
Stability analysis, Numerical stability, Automobiles, Sensitivity,
Acceleration, Time factors, Safety margin, response time,
risk perception
BibRef
Sun, Y.[Yong],
Wang, X.Y.[Xiang-Yu],
Li, L.[Liang],
Shi, J.[Jialei],
An, Q.[Quan],
Modelling and control for economy-oriented car-following problem of
hybrid electric vehicle,
IET-ITS(13), No. 5, May 2019, pp. 825-833.
DOI Link
1906
BibRef
Xu, D.,
Zhao, H.,
Guillemard, F.,
Geronimi, S.,
Aioun, F.,
Aware of Scene Vehicles: Probabilistic Modeling of Car-Following
Behaviors in Real-World Traffic,
ITS(20), No. 6, June 2019, pp. 2136-2148.
IEEE DOI
1906
Vehicles, Predictive models, Acceleration, Vehicle dynamics,
Probabilistic logic, Velocity control, Adaptation models,
scene vehicles
BibRef
Yang, D.,
Zhu, L.,
Liu, Y.,
Wu, D.,
Ran, B.,
A Novel Car-Following Control Model Combining Machine Learning and
Kinematics Models for Automated Vehicles,
ITS(20), No. 6, June 2019, pp. 1991-2000.
IEEE DOI
1906
Predictive models, Data models, Mathematical model, Automobiles,
Neural networks, Machine learning, Car-following control,
automated vehicles
BibRef
Xie, D.,
Zhao, X.,
He, Z.,
Heterogeneous Traffic Mixing Regular and Connected Vehicles:
Modeling and Stabilization,
ITS(20), No. 6, June 2019, pp. 2060-2071.
IEEE DOI
1906
Stability analysis, Numerical stability, Autonomous vehicles,
Numerical models, Roads, Car-following model, stability analysis
BibRef
Li, Y.,
Tang, C.,
Peeta, S.[Srinivas],
Wang, Y.,
Nonlinear Consensus-Based Connected Vehicle Platoon Control
Incorporating Car-Following Interactions and Heterogeneous Time
Delays,
ITS(20), No. 6, June 2019, pp. 2209-2219.
IEEE DOI
1906
Delay effects, Asymptotic stability, Acceleration,
Stability analysis, Convergence, Delays, Control theory, convergence analysis
BibRef
Zou, Y.,
Meng, Z.,
Velocity-Free Leader-Follower Cooperative Attitude Tracking of
Multiple Rigid Bodies on SO(3),
Cyber(49), No. 12, December 2019, pp. 4078-4089.
IEEE DOI
1909
Attitude control, Angular velocity, Observers,
Decentralized control, Manifolds, Synchronization, Quaternions,
rotation matrix
BibRef
Yu, D.,
Chen, C.L.P.,
Automatic Leader-Follower Persistent Formation Generation With
Minimum Agent-Movement in Various Switching Topologies,
Cyber(50), No. 4, April 2020, pp. 1569-1581.
IEEE DOI
2003
Topology, Switches, Optimization, Shape, Multi-agent systems, Sensors,
Control law, downward-tree, leader-follower, switching topologies
BibRef
Li, Y.,
Chen, W.,
Peeta, S.,
Wang, Y.,
Platoon Control of Connected Multi-Vehicle Systems Under V2X
Communications: Design and Experiments,
ITS(21), No. 5, May 2020, pp. 1891-1902.
IEEE DOI
2005
Connected vehicle, platoon control, beacon transmission,
car-following model, stability and consensus
BibRef
Park, M.,
Kim, Y.,
Yeo, H.,
Development of an Asymmetric Car-Following Model and Simulation
Validation,
ITS(21), No. 8, August 2020, pp. 3513-3524.
IEEE DOI
2008
Acceleration, Vehicles, Safety, Analytical models, Hysteresis,
Trajectory, Microscopy, Car-following model, asymmetric behavior,
hysteresis phenomenon
BibRef
Ning, B.,
Han, Q.L.,
Lu, Q.,
Fixed-Time Leader-Following Consensus for Multiple Wheeled Mobile
Robots,
Cyber(50), No. 10, October 2020, pp. 4381-4392.
IEEE DOI
2009
Mobile robots, Protocols, Directed graphs, Observers, Manifolds,
Nonlinear dynamical systems, Directed graphs,
wheeled mobile robots
BibRef
Zuo, Z.Y.[Zong-Yu],
Song, J.W.[Jia-Wei],
Han, Q.L.[Qing-Long],
Coordinated Planar Path-Following Control for Multiple Nonholonomic
Wheeled Mobile Robots,
Cyber(52), No. 9, September 2022, pp. 9404-9413.
IEEE DOI
2208
Mobile robots, Control design, Vehicle dynamics,
Transmission line matrix methods, Trajectory, Task analysis,
path-following control
BibRef
Cheng, Q.[Qian],
Jiang, X.[Xiaobei],
Wang, W.[Wuhong],
Dietrich, A.[André],
Bengler, K.[Klaus],
Qin, Y.[Yong],
Analyses on the heterogeneity of car-following behaviour: evidence from
a cross-cultural driving simulator study,
IET-ITS(14), No. 8, August 2020, pp. 834-841.
DOI Link
2007
BibRef
Liu, T.,
Selpi,
Comparison of Car-Following Behavior in Terms of Safety Indicators
Between China and Sweden,
ITS(21), No. 9, September 2020, pp. 3696-3705.
IEEE DOI
2008
Safety, Automobiles, Roads, Time measurement, Lead, Velocity control,
Car-following, cross-cultural comparison, driving behavior,
time to collision
BibRef
Chu, H.Q.[Hong-Qing],
Guo, L.[Lulu],
Yan, Y.J.[Yong-Jun],
Gao, B.Z.[Bing-Zhao],
Chen, H.[Hong],
Self-Learning Optimal Cruise Control Based on Individual
Car-Following Style,
ITS(22), No. 10, October 2021, pp. 6622-6633.
IEEE DOI
2110
Cruise control, Acceleration, Optimal control, Adaptation models,
Vehicle dynamics, Automobiles, Adaptive cruise control,
self-learning algorithm
BibRef
Liu, J.,
Yin, T.,
Yue, D.,
Karimi, H.R.,
Cao, J.,
Event-Based Secure Leader-Following Consensus Control for Multiagent
Systems With Multiple Cyber Attacks,
Cyber(51), No. 1, January 2021, pp. 162-173.
IEEE DOI
2012
Cyberattack, Denial-of-service attack, Symmetric matrices,
Control systems, Multi-agent systems, Linear matrix inequalities,
multiple cyber attacks
BibRef
Yang, H.,
Cheng, L.,
Zhang, J.,
Xia, Y.,
Leader-Follower Trajectory Control for Quadrotors via Tracking
Differentiators and Disturbance Observers,
SMCS(51), No. 1, January 2021, pp. 601-609.
IEEE DOI
2101
Trajectory tracking, Disturbance observers, Attitude control,
Trajectory, Vehicle dynamics, Target tracking,
trajectory tracking controller
BibRef
Zhang, H.,
Liu, J.,
Wang, Z.,
Yan, H.,
Zhang, C.,
Distributed Adaptive Event-Triggered Control and Stability Analysis
for Vehicular Platoon,
ITS(22), No. 3, March 2021, pp. 1627-1638.
IEEE DOI
2103
Observers, Stability analysis, Topology, Wireless communication,
Protocols, Sensors, Safety, Cooperative autonomous driving,
car-following control
BibRef
Wang, W.,
Li, Y.,
Observer-Based Event-Triggered Adaptive Fuzzy Control for
Leader-Following Consensus of Nonlinear Strict-Feedback Systems,
Cyber(51), No. 4, April 2021, pp. 2131-2141.
IEEE DOI
2103
Multi-agent systems, Fuzzy control, Observers, Control design,
Nonlinear systems, Event-triggered control, fuzzy-logic system,
strict-feedback system
BibRef
Ni, J.,
Shi, P.,
Adaptive Neural Network Fixed-Time Leader-Follower Consensus for
Multiagent Systems With Constraints and Disturbances,
Cyber(51), No. 4, April 2021, pp. 1835-1848.
IEEE DOI
2103
Protocols, Convergence, Control systems, Upper bound,
Neural networks, Multi-agent systems, Dead zone,
unknown control direction
BibRef
Pang, L.,
Cao, Z.,
Yu, J.,
Guan, P.,
Rong, X.,
Chai, H.,
A Visual Leader-Following Approach With a T-D-R Framework for
Quadruped Robots,
SMCS(51), No. 4, April 2021, pp. 2342-2354.
IEEE DOI
2103
Visualization, Target tracking, Mobile robots, Correlation,
Robot kinematics, Cameras, Detector, leader following,
quadruped robot
BibRef
Luo, M.[Ming],
Fang, H.[Hao],
Li, Y.[Yan],
Bai, Y.Q.[Yong-Qiang],
Chen, J.[Jie],
Wei, Y.[Yue],
Distributed Robust Fault Estimation Using Relative Measurements for
Leader-Follower Multiagent Systems,
Cyber(51), No. 9, September 2021, pp. 4707-4715.
IEEE DOI
2109
Observers, Symmetric matrices, Multi-agent systems,
Linear matrix inequalities, Eigenvalues and eigenfunctions,
relative measurements
BibRef
Shi, J.[Jing],
Yue, D.[Dong],
Xie, X.P.[Xiang-Peng],
Optimal Leader-Follower Consensus for Constrained-Input Multiagent
Systems With Completely Unknown Dynamics,
SMCS(52), No. 2, February 2022, pp. 1182-1191.
IEEE DOI
2201
Optimal control, Viscosity, Mathematical model,
Multi-agent systems, Electronic learning, Cost function,
reinforcement learning (RL)
BibRef
Lin, Y.X.[Yang-Xin],
Wang, P.[Ping],
Zhou, Y.[Yang],
Ding, F.[Fan],
Wang, C.[Chen],
Tan, H.C.[Hua-Chun],
Platoon Trajectories Generation: A Unidirectional Interconnected
LSTM-Based Car-Following Model,
ITS(23), No. 3, March 2022, pp. 2071-2081.
IEEE DOI
2203
Trajectory, Analytical models, Training, Oscillators, Data models,
Vehicles, Computational modeling, Car-following model,
unidirectional interconnected LSTM
BibRef
Xing, H.[Han],
Liu, Y.[Yi],
Graph attention network for Car-Following Model under game between
desired and real state,
IET-ITS(16), No. 6, 2022, pp. 800-812.
DOI Link
2205
BibRef
Zhang, J.J.[Jun-Jie],
Lu, G.Q.[Guang-Quan],
Yu, H.Y.[Hai-Yang],
Wang, Y.P.[Yun-Peng],
Yang, C.[Can],
Effect of the Uncertainty Level of Vehicle-Position Information on
the Stability and Safety of the Car-Following Process,
ITS(23), No. 6, June 2022, pp. 4944-4958.
IEEE DOI
2206
Safety, Stability criteria, Uncertainty, Numerical stability,
Vehicle dynamics, Aerodynamics, Thermal stability, platoon safety
BibRef
Jin, H.[Hui],
Hao, H.M.[Hai-Ming],
Yang, X.G.[Xiao-Guang],
Continuous and Discrete Analysis of Local Stability for Car-Following
Model With Speed-Based Desired-Headway,
ITS(23), No. 6, June 2022, pp. 5374-5386.
IEEE DOI
2206
Asymptotic stability, Stability criteria, Mathematical model,
Automobiles, Analytical models, Vehicle dynamics, Acceleration,
equilibrium state
BibRef
Tang, T.Q.[Tie-Qiao],
Gui, Y.[Yong],
Zhang, J.[Jian],
ATAC-Based Car-Following Model for Level 3 Autonomous Driving
Considering Driver's Acceptance,
ITS(23), No. 8, August 2022, pp. 10309-10321.
IEEE DOI
2208
Vehicles, Autonomous vehicles, Data models, Safety, Entropy,
Trajectory, Reinforcement learning, Autonomous driving, driver's acceptance
BibRef
Zhou, Y.[Yang],
Lin, Y.X.[Yang-Xin],
Ahn, S.[Soyoung],
Wang, P.[Ping],
Wang, X.[Xin],
Platoon Trajectory Completion in a Mixed Traffic Environment Under
Sparse Observation,
ITS(23), No. 9, September 2022, pp. 16217-16226.
IEEE DOI
2209
Trajectory, Sensors, Automobiles, Optimization, Noise measurement,
Intelligent transportation systems, Task analysis,
Newell's car-following model
BibRef
Awal, T.[Tanveer],
Mushfiq, M.M.[Md. Masum],
Alim Al Islam, A.B.M.,
Fault Tolerance Analysis of Car-Following Models for Autonomous
Vehicles,
ITS(23), No. 11, November 2022, pp. 20036-20045.
IEEE DOI
2212
Computational modeling, Safety, Analytical models,
Global Positioning System, Receivers, Vehicles, Radar,
radar sensor error
BibRef
Li, L.H.[Lin-Heng],
Gan, J.[Jing],
Ji, X.K.[Xin-Kai],
Qu, X.[Xu],
Ran, B.[Bin],
Dynamic Driving Risk Potential Field Model Under the Connected and
Automated Vehicles Environment and Its Application in Car-Following
Modeling,
ITS(23), No. 1, January 2022, pp. 122-141.
IEEE DOI
2201
Microscopy, Safety, Vehicle dynamics, Data models, Acceleration,
Analytical models, Vehicles, Driving risk potential field,
connected and automated vehicle system
BibRef
Guo, J.H.[Jing-Hua],
Li, W.C.[Wen-Chang],
Wang, J.Y.[Jing-Yao],
Luo, Y.G.[Yu-Gong],
Li, K.Q.[Ke-Qiang],
Safe and Energy-Efficient Car-Following Control Strategy for
Intelligent Electric Vehicles Considering Regenerative Braking,
ITS(23), No. 7, July 2022, pp. 7070-7081.
IEEE DOI
2207
Wheels, Batteries, Torque, Tires, Safety, Resistance, Control systems,
Intelligent electric vehicles, adaptive cruise control, energy efficiency
BibRef
Yan, R.D.[Rui-Dong],
Yang, D.[Diange],
Huang, J.[Jin],
Jiang, K.[Kun],
Jiao, X.Y.[Xin-Yu],
Distributed Car-Following Control for Intelligent Connected Vehicle
Using Improved Super-Twisting Compensator Subject to Sudden Velocity
Changes of Leading Vehicle,
ITS(23), No. 7, July 2022, pp. 6689-6698.
IEEE DOI
2207
Disturbance observers, Estimation error, Connected vehicles,
Velocity measurement, Convergence, Aerospace electronics,
sudden velocity changes
BibRef
Groelke, B.[Ben],
Earnhardt, C.[Christian],
Borek, J.[John],
Vermillion, C.[Chris],
A Predictive Command Governor-Based Adaptive Cruise Controller With
Collision Avoidance for Non-Connected Vehicle Following,
ITS(23), No. 8, August 2022, pp. 12276-12286.
IEEE DOI
2208
Lead, Collision avoidance, Data models, Fuel economy, Safety,
Biological system modeling, Vehicles, cruise control
BibRef
Tan, H.T.[Hai-Tian],
Lu, G.Q.[Guang-Quan],
Liu, M.M.[Miao-Miao],
Risk Field Model of Driving and Its Application in Modeling
Car-Following Behavior,
ITS(23), No. 8, August 2022, pp. 11605-11620.
IEEE DOI
2208
Trajectory, Safety, Planning, Indexes, Vehicles, Automobiles,
Data models, Driving behavior model, risk quantification,
behavior theory
BibRef
Wang, Z.J.[Ze-Jiang],
Zhou, X.Y.[Xing-Yu],
Wang, J.M.[Jun-Min],
An Algebraic Evaluation Framework for a Class of Car-Following Models,
ITS(23), No. 8, August 2022, pp. 12366-12376.
IEEE DOI
2208
Numerical models, Mathematical models, Computational modeling,
Analytical models, Cost function, Automobiles, Indexes,
model evaluation
BibRef
Li, Y.F.[Yong-Fu],
Chen, B.J.[Bang-Jie],
Zhao, H.[Hang],
Peeta, S.[Srinivas],
Hu, S.[Simon],
Wang, Y.B.[Yi-Bing],
Zheng, Z.[Zuduo],
A Car-Following Model for Connected and Automated Vehicles With
Heterogeneous Time Delays Under Fixed and Switching Communication
Topologies,
ITS(23), No. 9, September 2022, pp. 14846-14858.
IEEE DOI
2209
Topology, Delay effects, Switches, Vehicular ad hoc networks,
Numerical models, Sensor phenomena and characterization, Delays,
time delay
BibRef
Shang, M.F.[Ming-Feng],
Rosenblad, B.[Benjamin],
Stern, R.[Raphael],
A Novel Asymmetric Car Following Model for Driver-Assist Enabled
Vehicle Dynamics,
ITS(23), No. 9, September 2022, pp. 15696-15706.
IEEE DOI
2209
Automobiles, Vehicle dynamics, Modeling, Microscopy,
Adaptation models, Numerical models, Mathematical models,
model calibration
BibRef
Zhou, J.[Jiazu],
Wan, J.[Jianwu],
Zhu, F.[Feng],
Transfer Learning Based Long Short-Term Memory Car-Following Model
for Adaptive Cruise Control,
ITS(23), No. 11, November 2022, pp. 21345-21359.
IEEE DOI
2212
Data models, Adaptation models, Mathematical models,
Behavioral sciences, Transfer learning
BibRef
Zhao, D.[De],
Zhang, Y.[Yan],
Wang, W.[Wei],
Hua, X.D.[Xue-Dong],
Yang, M.[Min],
Car-following trajectory data imputation with adversarial
convolutional neural network,
IET-ITS(17), No. 5, 2023, pp. 960-972.
DOI Link
2305
adversarial neural network, car-following vehicle trajectory,
convolutional neural network, missing data imputation, NGSIM
BibRef
Liu, Y.[Ying],
Li, Y.M.[Yong-Ming],
Application of Inverse Optimal Formation Control for Euler-Lagrange
Systems,
ITS(24), No. 5, May 2023, pp. 5655-5662.
IEEE DOI
2305
Formation control, Optimal control, Cost function,
Mathematical models, Adaptation models, Stochastic processes,
leader-follower
BibRef
Xu, Y.[Yong],
Wu, Z.G.[Zheng-Guang],
Pan, Y.J.[Ya-Jun],
Off-Policy Learning-Based Following Control of Cooperative Autonomous
Vehicles Under Distributed Attacks,
ITS(24), No. 5, May 2023, pp. 5120-5130.
IEEE DOI
2305
Vehicle dynamics, Tracking, Prediction algorithms,
Cyberattack, Heuristic algorithms, Denial-of-service attack,
cyber attacks
BibRef
Xu, Y.[Yong],
Wu, Z.G.[Zheng-Guang],
Pan, Y.J.[Ya-Jun],
Cooperative Path Following Control in Autonomous Vehicles Graphical
Games: A Data-Based Off-Policy Learning Approach,
ITS(25), No. 8, August 2024, pp. 9364-9374.
IEEE DOI
2408
Mathematical models, Vehicle dynamics, Games, Heuristic algorithms,
System dynamics, Optimal control, Numerical models,
data-driven control
BibRef
Song, D.J.[Dong-Jian],
Zhu, B.[Bing],
Zhao, J.[Jian],
Han, J.Y.[Jia-Yi],
Chen, Z.C.[Zhi-Cheng],
Personalized Car-Following Control Based on a Hybrid of Reinforcement
Learning and Supervised Learning,
ITS(24), No. 6, June 2023, pp. 6014-6029.
IEEE DOI
2306
Vehicles, Uncertainty, Safety, Vehicle dynamics, Behavioral sciences,
Optimization, Mathematical models, Car-following control,
supervised learning
BibRef
Huang, Y.[Yan],
Ye, Y.J.[Ying-Jun],
Sun, J.[Jian],
Tian, Y.[Ye],
Characterizing the Impact of Autonomous Vehicles on Macroscopic
Fundamental Diagrams,
ITS(24), No. 6, June 2023, pp. 6530-6541.
IEEE DOI
2306
Roads, Trajectory, Load modeling, Autonomous vehicles,
Stability analysis, Analytical models, Loading,
car-following model
BibRef
Gu, Z.[Zhou],
Huang, X.[Xueyang],
Sun, X.[Xiang],
Xie, X.P.[Xiang-Peng],
Park, J.H.[Ju H.],
Memory-Event-Triggered Tracking Control for Intelligent Vehicle
Transportation Systems: A Leader-Following Approach,
ITS(25), No. 5, May 2024, pp. 4021-4031.
IEEE DOI
2405
Control systems, Adaptive systems, Vehicle dynamics, Topology,
Actuators, Mathematical models,
distance control
BibRef
Chen, X.X.[Xiao-Xu],
Zhang, C.Y.[Cheng-Yuan],
Cheng, Z.H.[Zhan-Hong],
Hou, Y.[Yuang],
Sun, L.J.[Li-Jun],
A Bayesian Gaussian Mixture Model for Probabilistic Modeling of
Car-Following Behaviors,
ITS(25), No. 6, June 2024, pp. 5880-5891.
IEEE DOI
2406
Behavioral sciences, Vehicles, Predictive models, Bayes methods,
Probabilistic logic, Vehicle dynamics, Stochastic processes,
Bayesian Gaussian mixture model
BibRef
Li, M.[Meng],
Li, Z.B.[Zhi-Bin],
Cao, Z.[Zehong],
Enhancing Car-Following Performance in Traffic Oscillations Using
Expert Demonstration Reinforcement Learning,
ITS(25), No. 7, July 2024, pp. 7751-7766.
IEEE DOI
2407
Training, Oscillators, Trajectory, Task analysis, Cloning, Safety,
Databases, Expert demonstration, reinforcement learning,
traffic oscillation
BibRef
Zhou, Y.[Yang],
Zhang, Z.[Zhen],
Ding, F.[Fan],
Ahn, S.[Soyoung],
Wu, K.[Keshu],
Ran, B.[Bin],
A Deep Long Short-Term Memory Network Embedded Model Predictive
Control Strategies for Car-Following Control of Connected Automated
Vehicles in Mixed Traffic,
ITS(25), No. 7, July 2024, pp. 8209-8220.
IEEE DOI
2407
Trajectory, Predictive models, Vectors, Prediction algorithms,
Long short term memory, Deep learning, Data models, car-following control
BibRef
Zhang, Y.[Yin],
Shuai, B.[Bin],
Zhang, R.[Rui],
Fan, C.J.[Cheng-Jing],
Huang, W.C.[Wen-Cheng],
Modeling and Simulation of Driving Risk Pulse Field and Its
Application in Car Following Model,
ITS(25), No. 8, August 2024, pp. 8984-9000.
IEEE DOI
2408
Automobiles, Safety, Roads, Road traffic, Analytical models, Accidents,
Vectors, Driving risk pulse field, car following model,
risk pulse energy
BibRef
Chen, X.Y.[Xing-Yu],
Zhang, W.H.[Wei-Hua],
Bai, H.[Haijian],
Jiang, R.[Rui],
Ding, H.[Heng],
Wei, L.Y.[Li-Yang],
A Sigmoid-Based Car-Following Model to Improve Acceleration Stability
in Traffic Oscillation and Following Failure in Free Flow,
ITS(25), No. 8, August 2024, pp. 9039-9057.
IEEE DOI
2408
Vehicles, Trajectory, Stability analysis, Oscillators, Calibration,
Numerical stability, Behavioral sciences, IDM, traffic oscillation,
traffic flow stability
BibRef
Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Overtaking Analysis, Control .