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The Trajectory Planning of the Lane Change Assist Based on the Model Predictive Control with Multi-Objective
Technical Paper
2017-01-2004
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The automatic lane change assist system is an intelligent driving assistance technology oriented to traffic safety, which requires trajectory planning of the lane change maneuver based on the lane change decision. A typical scene of lane change for overtaking is selected, where the front vehicle in the same lane and the rear vehicle in the left lane are deemed to be potential dangerous vehicles through the lane change. Lane change trajectory equation is first established according to the general law of steering wheel angle through lane changes. Based on the relative position, velocity and acceleration information of the dangerous vehicles and the lane change vehicle, motions of these surrounding dangerous vehicles are predicted. At the same time, a multi-objective optimization function is established based on the relative longitudinal safety boundary. The objectives are the minimum safety distance, the lane change time and the front wheel angle. The trajectory planning algorithm of the lane change assist based on the model predictive control with multi-objective is then studied. The influence of vehicle speed on trajectory tracking is analyzed in this paper, then the feasibility and robustness of the algorithm is verified. In addition, the complexity of the model is simplified in considering of real-time demand while accuracy is still guaranteed. Simulation and experimental results show that the trajectory planning algorithm based on the model predictive control with multi - objective has greater improvements of those objectives of lane change compared with PID control. The proposed trajectory optimization algorithm can provide reference for the automatic lane change assist system.
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Wang, Y., Feng, R., Pan, D., Liu, Z. et al., "The Trajectory Planning of the Lane Change Assist Based on the Model Predictive Control with Multi-Objective," SAE Technical Paper 2017-01-2004, 2017, https://doi.org/10.4271/2017-01-2004.Data Sets - Support Documents
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