Seventh-Degree Polynomial-Based Single Lane Change Trajectory Planning and Four-Wheel Steering Model Predictive Tracking Control for Intelligent Vehicles
Single lane changing is one of the typical scenarios in vehicle driving. Planning a suitable single lane changing trajectory and tracking that trajectory accurately is very important for intelligent vehicles. The contribution of this study is twofold: (i) to plan lane change trajectories that cater...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Vehicles |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-8921/6/4/109 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850085588404797440 |
|---|---|
| author | Fei Lai Chaoqun Huang |
| author_facet | Fei Lai Chaoqun Huang |
| author_sort | Fei Lai |
| collection | DOAJ |
| description | Single lane changing is one of the typical scenarios in vehicle driving. Planning a suitable single lane changing trajectory and tracking that trajectory accurately is very important for intelligent vehicles. The contribution of this study is twofold: (i) to plan lane change trajectories that cater to different driving styles (including aspects such as safety, efficiency, comfort, and balanced performance) by a 7th-degree polynomial; and (ii) to track the predefined trajectory by model predictive control (MPC) through four-wheel steering. The growing complexity of autonomous driving systems requires precise and comfortable trajectory planning and tracking. While 5th-degree polynomials are commonly used for single-lane change maneuvers, they may fail to adequately address lateral jerk, resulting in less comfortable trajectories. The main challenges are: (i) trajectory planning and (ii) trajectory tracking. Front-wheel steering MPC, although widely used, struggles to accurately track trajectories from point mass models, especially when considering vehicle dynamics, leading to excessive lateral jerk. To address these issues, we propose a novel approach combining: (i) 7th-degree polynomial trajectory planning, which provides better control over lateral jerk for smoother and more comfortable maneuvers, and (ii) four-wheel steering MPC, which offers superior maneuverability and control compared to front-wheel steering, allowing for more precise trajectory tracking. Extensive MATLAB/Simulink simulations demonstrate the effectiveness of our approach, showing improved comfort and tracking performance. Key findings include: (i) improved trajectory tracking: Four-wheel steering MPC outperforms front-wheel steering in accurately following desired trajectories, especially when considering vehicle dynamics. (ii) better ride comfort: 7th-degree polynomial trajectories, with improved control over lateral jerk, result in a smoother driving experience. Combining these two techniques enables safer, more efficient, and more comfortable autonomous driving. |
| format | Article |
| id | doaj-art-45a333253aec4db3b160732c0fc0ea3c |
| institution | DOAJ |
| issn | 2624-8921 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Vehicles |
| spelling | doaj-art-45a333253aec4db3b160732c0fc0ea3c2025-08-20T02:43:42ZengMDPI AGVehicles2624-89212024-12-01642228225010.3390/vehicles6040109Seventh-Degree Polynomial-Based Single Lane Change Trajectory Planning and Four-Wheel Steering Model Predictive Tracking Control for Intelligent VehiclesFei Lai0Chaoqun Huang1School of Vehicle Engineering, Chongqing University of Technology, Chongqing 400054, ChinaInstitute of Intelligent Manufacturing and Automotive, Chongqing Technology and Business Institute, Chongqing 401520, ChinaSingle lane changing is one of the typical scenarios in vehicle driving. Planning a suitable single lane changing trajectory and tracking that trajectory accurately is very important for intelligent vehicles. The contribution of this study is twofold: (i) to plan lane change trajectories that cater to different driving styles (including aspects such as safety, efficiency, comfort, and balanced performance) by a 7th-degree polynomial; and (ii) to track the predefined trajectory by model predictive control (MPC) through four-wheel steering. The growing complexity of autonomous driving systems requires precise and comfortable trajectory planning and tracking. While 5th-degree polynomials are commonly used for single-lane change maneuvers, they may fail to adequately address lateral jerk, resulting in less comfortable trajectories. The main challenges are: (i) trajectory planning and (ii) trajectory tracking. Front-wheel steering MPC, although widely used, struggles to accurately track trajectories from point mass models, especially when considering vehicle dynamics, leading to excessive lateral jerk. To address these issues, we propose a novel approach combining: (i) 7th-degree polynomial trajectory planning, which provides better control over lateral jerk for smoother and more comfortable maneuvers, and (ii) four-wheel steering MPC, which offers superior maneuverability and control compared to front-wheel steering, allowing for more precise trajectory tracking. Extensive MATLAB/Simulink simulations demonstrate the effectiveness of our approach, showing improved comfort and tracking performance. Key findings include: (i) improved trajectory tracking: Four-wheel steering MPC outperforms front-wheel steering in accurately following desired trajectories, especially when considering vehicle dynamics. (ii) better ride comfort: 7th-degree polynomial trajectories, with improved control over lateral jerk, result in a smoother driving experience. Combining these two techniques enables safer, more efficient, and more comfortable autonomous driving.https://www.mdpi.com/2624-8921/6/4/109intelligent vehiclesingle lane changetrajectory planningmodel predictive controlfour-wheel steering7th-degree polynomial |
| spellingShingle | Fei Lai Chaoqun Huang Seventh-Degree Polynomial-Based Single Lane Change Trajectory Planning and Four-Wheel Steering Model Predictive Tracking Control for Intelligent Vehicles Vehicles intelligent vehicle single lane change trajectory planning model predictive control four-wheel steering 7th-degree polynomial |
| title | Seventh-Degree Polynomial-Based Single Lane Change Trajectory Planning and Four-Wheel Steering Model Predictive Tracking Control for Intelligent Vehicles |
| title_full | Seventh-Degree Polynomial-Based Single Lane Change Trajectory Planning and Four-Wheel Steering Model Predictive Tracking Control for Intelligent Vehicles |
| title_fullStr | Seventh-Degree Polynomial-Based Single Lane Change Trajectory Planning and Four-Wheel Steering Model Predictive Tracking Control for Intelligent Vehicles |
| title_full_unstemmed | Seventh-Degree Polynomial-Based Single Lane Change Trajectory Planning and Four-Wheel Steering Model Predictive Tracking Control for Intelligent Vehicles |
| title_short | Seventh-Degree Polynomial-Based Single Lane Change Trajectory Planning and Four-Wheel Steering Model Predictive Tracking Control for Intelligent Vehicles |
| title_sort | seventh degree polynomial based single lane change trajectory planning and four wheel steering model predictive tracking control for intelligent vehicles |
| topic | intelligent vehicle single lane change trajectory planning model predictive control four-wheel steering 7th-degree polynomial |
| url | https://www.mdpi.com/2624-8921/6/4/109 |
| work_keys_str_mv | AT feilai seventhdegreepolynomialbasedsinglelanechangetrajectoryplanningandfourwheelsteeringmodelpredictivetrackingcontrolforintelligentvehicles AT chaoqunhuang seventhdegreepolynomialbasedsinglelanechangetrajectoryplanningandfourwheelsteeringmodelpredictivetrackingcontrolforintelligentvehicles |