4.5 Article

A Review of Model Predictive Controls Applied to Advanced Driver-Assistance Systems

Related references

Note: Only part of the references are listed.
Article Thermodynamics

Improving the NOx reduction performance of an Euro VI d SCR System in real-world condition via nonlinear model predictive control

Alberto Petrillo et al.

Summary: This paper explores the possibility of improving the urea dosage control for the SCR system of a Euro VI d diesel light commercial vehicle and proposes a Nonlinear Model Predictive Controller to enhance the NOx reduction performance and minimize the ammonia slip.

INTERNATIONAL JOURNAL OF ENGINE RESEARCH (2023)

Article Engineering, Civil

An Efficient On-Ramp Merging Strategy for Connected and Automated Vehicles in Multi-Lane Traffic

Jinqiang Liu et al.

Summary: This study proposes an efficient on-ramp merging strategy to coordinate vehicle merging in multi-lane traffic, which significantly improves traffic efficiency and fuel economy through a lane selection model and vehicle motion planning algorithm.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Review Computer Science, Artificial Intelligence

Self-driving cars: A survey

Claudine Badue et al.

Summary: The research survey examined literature on self-driving cars, focusing on the architecture of autonomy system, perception, and decision-making methods. It also provided a detailed description of the autonomy system of the self-driving car developed at the Universidade Federal do Espirito Santo (UFES). Additionally, prominent self-driving car research platforms developed by academia and technology companies were listed.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Computer Science, Software Engineering

DynaProg: Deterministic Dynamic Programming solver for finite horizon multi-stage decision problems

Federico Miretti et al.

Summary: DynaProg is an open-source MATLAB toolbox designed to solve multi-stage deterministic optimal decision problems using Dynamic Programming. It addresses the challenges of numerical implementation by providing a fast DP optimization engine and a simple interface, allowing researchers to easily explore the usage of DP in their fields. The toolbox also offers thorough documentation, step-by-step examples, and a class oriented design for easy deployment and extension.

SOFTWAREX (2021)

Article Automation & Control Systems

Robust model predictive control for nonlinear parameter varying systems without computational delay

Jianglin Lan et al.

Summary: This article introduces a one-step ahead robust model predictive control method for Lipschitz non-linear parameter varying systems, which optimizes the MPC policy in advance and ensures system stability. Through analyzing computational complexity and disturbance compensation, the method is further extended to cover a wider range of applications.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2021)

Article Automation & Control Systems

Eco-Driving of Connected and Automated Vehicle With Preceding Driver Behavior Prediction

Mehmet Fatih Ozkan et al.

Summary: This study introduces a control strategy integrated with a preceding vehicle speed prediction model to achieve eco-driving for connected and automated vehicles. The strategy utilizes a GRU network to predict preceding vehicle behavior and adopts a NMPC algorithm for CAVs to minimize fuel consumption. The approach aims to reduce fuel consumption by avoiding unnecessary braking and acceleration, especially in transient traffic conditions.

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME (2021)

Article Chemistry, Analytical

Learning Region-Based Attention Network for Traffic Sign Recognition

Ke Zhou et al.

Summary: This paper introduces a new benchmark for traffic sign recognition in icy environments, and tests the robustness of different network models on this benchmark, achieving high accuracy.

SENSORS (2021)

Article Thermodynamics

An improved MPC-based energy management strategy for hybrid vehicles using V2V and V2I communications

Hongwen He et al.

Summary: This paper proposes an improved MPC framework for the EMS of PHEB, aiming to achieve optimal energy distribution with increased prediction accuracy and optimized speed sequences. The speed prediction accuracy is improved between two traffic intersections using the PSO method, while the optimal speed sequence is planned in advance when passing through a traffic intersection.

ENERGY (2021)

Article Transportation Science & Technology

Hybrid deep reinforcement learning based eco-driving for low-level connected and automated vehicles along signalized corridors

Qiangqiang Guo et al.

Summary: The paper introduces a hybrid reinforcement learning-based Eco-Driving algorithm that reduces fuel consumption by learning longitudinal acceleration/deceleration and lane-changing operations. Numerical experiments on multi-lane urban signalized corridors demonstrate that the algorithm can significantly reduce fuel consumption.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

Article Engineering, Mechanical

A Multi-Objective Model Predictive Control for Vehicle Adaptive Cruise Control System Based on a New Safe Distance Model

Zhenze Liu et al.

Summary: This paper proposes a new safe distance model based on real-world driving test data, aiming to achieve naturalistic behavior of the vehicle in terms of driving safety, tracking performance, fuel economy, and ride comfort through hierarchical control architecture and model predictive control methods.

INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY (2021)

Article Computer Science, Information Systems

Performance Analysis of Deep Neural Network Controller for Autonomous Driving Learning from a Nonlinear Model Predictive Control Method

Taekgyu Lee et al.

Summary: Nonlinear model predictive control (NMPC) is a control technique based on numerical optimization method with target system dynamics as constraints. To address the computational challenge, a data-based control technique using deep neural network (DNN) is proposed, achieving control characteristics comparable to a well-tuned NMPC within a reasonable computation period. This was verified through experiments on a scaled-car platform and realistic numerical simulations.

ELECTRONICS (2021)

Article Energy & Fuels

Development of an Adaptive Model Predictive Control for Platooning Safety in Battery Electric Vehicles

Antonio Capuano et al.

Summary: This paper presents an Adaptive Model Predictive Control for managing the Cooperative ACC scenario of two vehicles, and evaluates its effectiveness through safety analysis and validation testing. Results demonstrate that the control strategy can ensure safety in various driving scenarios and quickly respond to unexpected events, thereby further improving the comfort of the vehicle platoon.

ENERGIES (2021)

Article Computer Science, Artificial Intelligence

Stochastic Model Predictive Control With a Safety Guarantee for Automated Driving

Tim Brudigam et al.

IEEE Transactions on Intelligent Vehicles (2021)

Article Computer Science, Artificial Intelligence

Robust Platoon Control in Mixed Traffic Flow Based on Tube Model Predictive Control

Shuo Feng et al.

Summary: A robust platoon control framework based on tube MPC is proposed in this paper to dynamically mitigate prediction uncertainty, implement feedback control, and restrict it within a high-probability set. The feedforward control is triggered when uncertainty exceeds the set or additional external disturbances emerge, to plan a tube that bounds CAVs' actual trajectories. This method is more efficient in computation and communication compared to the MPC method, as replanning is usually not required.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2021)

Article Engineering, Electrical & Electronic

Holistic Adaptive Multi-Model Predictive Control for the Path Following of 4WID Autonomous Vehicles

Yixiao Liang et al.

Summary: This paper presents a novel adaptive multiple-model predictive control scheme for Four-Wheel Independent Drive autonomous vehicles, with a holistic structure. The proposed controller effectively improves handling ability and adaptability in various driving conditions through weight adaptive mechanism and multiple-model adaptive law. Numerical results demonstrate the effectiveness and superiority of the proposed control method in normal and extreme driving conditions.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

Article Automation & Control Systems

A Robust Scenario MPC Approach for Uncertain Multi-Modal Obstacles

Ivo Batkovic et al.

Summary: The letter presents a control scheme based on Model Predictive Control (MPC) with robust constraint satisfaction for autonomous vehicles, combining ideas from tube-based and scenario-based MPC strategies. The proposed approach is effective in ensuring safe motion planning and control algorithms for autonomous vehicles.

IEEE CONTROL SYSTEMS LETTERS (2021)

Article Engineering, Mechanical

Analysis of Driver's EEG Given Take-Over Alarm in SAE Level 3 Automated Driving in a Simulated Environment

Jiwon Lee et al.

INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY (2020)

Article Automation & Control Systems

Tube-Based Discrete Controller Design for Vehicle Platoons Subject to Disturbances and Saturation Constraints

Shuo Feng et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2020)

Article Engineering, Mechanical

Path tracking framework synthesizing robust model predictive control and stability control for autonomous vehicle

Jiaxing Yu et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING (2020)

Article Engineering, Civil

A Rule-Based Cooperative Merging Strategy for Connected and Automated Vehicles

Jishiyu Ding et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Article Engineering, Electrical & Electronic

Path Tracking and Direct Yaw Moment Coordinated Control Based on Robust MPC With the Finite Time Horizon for Autonomous Independent-Drive Vehicles

Haonan Peng et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)

Article Chemistry, Multidisciplinary

Adaptive Cruise Control for Eco-Driving Based on Model Predictive Control Algorithm

Zifei Nie et al.

APPLIED SCIENCES-BASEL (2020)

Article Engineering, Electrical & Electronic

Enhancing the Fuel-Economy of V2I-Assisted Autonomous Driving: A Reinforcement Learning Approach

Xiao Liu et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)

Proceedings Paper Automation & Control Systems

Low-Latency Robust MPC for CACC under Variable Road Geometry

Jianglin Lan et al.

IFAC PAPERSONLINE (2020)

Article Engineering, Multidisciplinary

Neural Network Predictive Control Approach Design for Adaptive Cruise Control

Pratama Mahadika et al.

INTERNATIONAL JOURNAL OF TECHNOLOGY (2020)

Article Thermodynamics

Model predictive control for comfort optimization in assisted and driverless vehicles

Sara Luciani et al.

ADVANCES IN MECHANICAL ENGINEERING (2020)

Article Engineering, Electrical & Electronic

Ecological Advanced Driver Assistance System for Optimal Energy Management in Electric Vehicles

Seyed Amin Sajadi-Alamdari et al.

IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2020)

Article Computer Science, Artificial Intelligence

Deep reinforcement learning based lane detection and localization

Zhiyuan Zhao et al.

NEUROCOMPUTING (2020)

Article Engineering, Civil

Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC

Shilp Dixit et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Article Computer Science, Information Systems

Switching Multi-Objective Receding Horizon Control for CACC of Mixed Vehicle Strings

Xiulan Song et al.

IEEE ACCESS (2020)

Article Automation & Control Systems

String stability for vehicular platoon control: Definitions and analysis methods

Shuo Feng et al.

ANNUAL REVIEWS IN CONTROL (2019)

Review Engineering, Civil

Driver Fatigue Detection Systems: A Review

Gulbadan Sikander et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)

Article Chemistry, Multidisciplinary

A Model Predictive Controller with Longitudinal Speed Compensation for Autonomous Vehicle Path Tracking

Qiangqiang Yao et al.

APPLIED SCIENCES-BASEL (2019)

Article Robotics

Path tracking of autonomous vehicle based on adaptive model predictive control

Fen Lin et al.

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

String Stable Model Predictive Cooperative Adaptive Cruise Control for Heterogeneous Platoons

Ellen van Nunen et al.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2019)

Article Computer Science, Information Systems

A Model Predictive Controller With Switched Tracking Error for Autonomous Vehicle Path Tracking

Chuanyang Sun et al.

IEEE ACCESS (2019)

Article Automation & Control Systems

Flexible Spacing Adaptive Cruise Control Using Stochastic Model Predictive Control

Dominik Moser et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2018)

Article Engineering, Civil

Connected Cooperative Ecodriving System Considering Human Driver Error

Xuewei Qi et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2018)

Article Engineering, Electrical & Electronic

Stochastic Model-Predictive Control for Lane Change Decision of Automated Driving Vehicles

Jongsang Suh et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2018)

Article Engineering, Electrical & Electronic

Adaptive Tube-Based Nonlinear MPC for Economic Autonomous Cruise Control of Plug-In Hybrid Electric Vehicles

Bijan Sakhdari et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2018)

Article Thermodynamics

Lane-change prediction method for adaptive cruise control system with hidden Markov model

Wei Yuan et al.

ADVANCES IN MECHANICAL ENGINEERING (2018)

Article Robotics

Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving

Grady Williams et al.

IEEE TRANSACTIONS ON ROBOTICS (2018)

Review Multidisciplinary Sciences

State-of-the-art in artificial neural network applications: A survey

Oludare Isaac Abiodun et al.

HELIYON (2018)

Article Computer Science, Artificial Intelligence

A Learning-Based Stochastic MPC Design for Cooperative Adaptive Cruise Control to Handle Interfering Vehicles

Hadi Kazemi et al.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2018)

Review Automation & Control Systems

Vehicle Dynamic State Estimation: State of the Art Schemes and Perspectives

Hongyan Guo et al.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2018)

Proceedings Paper Automation & Control Systems

Stochastic MPC for Optimal Energy Management Strategy of Hybrid Vehicle performing ACC with Stop&Go maneuvers

Yassir Dahmane et al.

IFAC PAPERSONLINE (2018)

Article Engineering, Civil

Safe Optimization of Highway Traffic With Robust Model Predictive Control-Based Cooperative Adaptive Cruise Control

Carlos Massera Filho et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)

Article Engineering, Electrical & Electronic

Path Planning and Tracking for Vehicle Collision Avoidance Based on Model Predictive Control With Multiconstraints

Jie Ji et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)

Review Chemistry, Physical

Model predictive control power management strategies for HEVs: A review

Yanjun Huang et al.

JOURNAL OF POWER SOURCES (2017)

Article Engineering, Electrical & Electronic

Scenario Model Predictive Control for Lane Change Assistance and Autonomous Driving on Highways

Gianluca Cesari et al.

IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2017)

Proceedings Paper Automation & Control Systems

Energy-Optimal Adaptive Cruise Control based on Model Predictive Control

Andreas Weissmann et al.

IFAC PAPERSONLINE (2017)

Article Engineering, Chemical

Decentralized Multiparametric Model Predictive Control for Domestic Combined Heat and Power Systems

Nikolaos A. Diangelakis et al.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2016)

Article Engineering, Civil

Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies

Yang Zheng et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2016)

Article Engineering, Civil

Ecological Adaptive Cruise Controller for Plug-In Hybrid Electric Vehicles Using Nonlinear Model Predictive Control

Mahyar Vajedi et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2016)

Article Engineering, Multidisciplinary

Autonomous Driving in the iCity-HD Maps as a Key Challenge of the Automotive Industry

Heiko G. Seif et al.

ENGINEERING (2016)

Article Computer Science, Artificial Intelligence

Intelligence Testing for Autonomous Vehicles: A New Approach

Li Li et al.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2016)

Article Engineering, Civil

Coordinated Adaptive Cruise Control System With Lane-Change Assistance

Ruina Dang et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2015)

Article Engineering, Civil

Fast Online Computation of a Model Predictive Controller and Its Application to Fuel Economy-Oriented Adaptive Cruise Control

Shengbo Eben Li et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2015)

Article Engineering, Mechanical

Stability analysis of bidirectional adaptive cruise control with asymmetric information flow

Ali Ghasemi et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE (2015)

Review Construction & Building Technology

Theory and applications of HVAC control systems - A review of model predictive control (MPC)

Abdul Afram et al.

BUILDING AND ENVIRONMENT (2014)

Article Automation & Control Systems

Nonlinear Model Predictive Control approach in design of Adaptive Cruise Control with automated switching to cruise control

Payman Shakouri et al.

CONTROL ENGINEERING PRACTICE (2014)

Article Engineering, Mechanical

MODEL PREDICTIVE CONTROL STRATEGY FOR SMOOTH PATH TRACKING OF AUTONOMOUS VEHICLES WITH STEERING ACTUATOR DYNAMICS

E. Kim et al.

INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY (2014)

Article Computer Science, Artificial Intelligence

Cooperative controllers for highways based on human experience

J. Perez et al.

EXPERT SYSTEMS WITH APPLICATIONS (2013)

Article Engineering, Civil

Extensive Tests of Autonomous Driving Technologies

Alberto Broggi et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)

Article Engineering, Electrical & Electronic

Stable Decentralized Control of a Platoon of Vehicles With Heterogeneous Information Feedback

Ali Ghasemi et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2013)

Article Engineering, Industrial

Cooperation and learning to increase the autonomy of ADAS

F. Vanderhaegen

COGNITION TECHNOLOGY & WORK (2012)

Article Automation & Control Systems

Model Predictive Multi-Objective Vehicular Adaptive Cruise Control

Shengbo Li et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2011)

Article Engineering, Mechanical

Space control law design in adaptive cruise control vehicles using model predictive control

J. Marzbanrad et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING (2011)

Article Engineering, Electrical & Electronic

String-Stable CACC Design and Experimental Validation: A Frequency-Domain Approach

Gerrit J. L. Naus et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2010)

Article Engineering, Multidisciplinary

Model predictive control for adaptive cruise control with multi-objectives: comfort, fuel-economy, safety and car-following

Li-hua Luo et al.

JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A (2010)

Article Engineering, Electrical & Electronic

Model predictive control of transitional maneuvers for adaptive cruise control vehicles

VL Baghwar et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2004)