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Adaptive Cruise Control for Cut-In Scenarios Based on Model Predictive Control Algorithm
| Content Provider | MDPI |
|---|---|
| Author | Chen, Chongpu Guo, Jianhua Guo, Chong Chen, Chaoyi Zhang, Yao Wang, Jiawei |
| Copyright Year | 2021 |
| Description | In a cut-in scenario, traditional adaptive cruise control usually cannot effectively identify the cut-in vehicle and respond to it in advance. This paper proposes an adaptive cruise control (ACC) strategy based on the MPC algorithm for cut-in scenarios. A finite state machine (FSM) is designed to manage vehicle control in different cut-in scenarios. For a cut-in scenario, a method to identify and quantify the possibility of cut-in of a vehicle is proposed. At the same time, a safety distance model of the cut-in vehicle is established as the basis for the state transition of the finite state machine. Taking the quantified cut-in possibility of a vehicle as a reference, the model predictive control (MPC) algorithm, which considers the constraints of driving safety and comfort, is used to realize coordinated control of the host vehicle and the cut-in vehicle. Simulink–Carsim simulation studies show that the ACC strategy for a cut-in scenario can effectively identify a cut-in vehicle and quantify the possibility of cut-in of the vehicle. Faced with a cut-in vehicle, the host vehicle using the ACC strategy can brake several seconds early and switch the following target to the cut-in vehicle. Meanwhile, the acceleration and jerk of the host vehicle changes within a reasonable range, which ensures driving safety and comfort. |
| Starting Page | 5293 |
| e-ISSN | 20763417 |
| DOI | 10.3390/app11115293 |
| Journal | Applied Sciences |
| Issue Number | 11 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-06-07 |
| Access Restriction | Open |
| Subject Keyword | Applied Sciences Transportation Science and Technology Adaptive Cruise Control Cut-in Possibility Safe Distance Model Model Predictive Control |
| Content Type | Text |
| Resource Type | Article |
