Adaptive Cruise Control for Cut-In Scenarios Based on Model Predictive Control Algorithm

Chen, Chongpu; Guo, Jianhua; Guo, Chong; Chen, Chaoyi; Zhang, Yao; Wang, Jiawei

doi:10.3390/app11115293

Cited by 18 publications

(15 citation statements)

References 30 publications

(29 reference statements)

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“…A study led by AAA [3] revealed that the functioning of the AEB system was unsuccessful under certain circumstances, such as children darting out, two pedestrians alongside the roadway when their silhouette was unclear from the background, or immediately after a right turn. The third category included other drivers and vehicles cutting in the front, causing the ACC system to malfunction with either late braking or excessive braking [10].…”

Section: Adas Limitationsmentioning

confidence: 99%

Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data

Ayoub

Wang

et al. 2022

Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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Advanced driver assistance systems (ADAS) are designed to improve vehicle safety. However, it is difficult to achieve such benefits without understanding the causes and limitations of the current ADAS and their possible solutions. This study 1) investigated the limitations and solutions of ADAS through a literature review, 2) identified the causes and effects of ADAS through consumer complaints using natural language processing models, and 3) compared the major differences between the two. These two lines of research identified similar categories of ADAS causes, including human factors, environmental factors, and vehicle factors. However, academic research focused more on human factors of ADAS issues and proposed advanced algorithms to mitigate such issues while drivers complained more of vehicle factors of ADAS failures, which led to associated top consequences. The findings from these two sources tend to complement each other and provide important implications for the improvement of ADAS in the future.

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Section: Adas Limitationsmentioning

confidence: 99%

Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data

Ayoub

Wang

et al. 2022

Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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“…The experimental results show that the ACC cars improve the traffic stability and the dynamic road capacity. Chen et al [5] proposed an ACC strategy based on MPC algorithm for the cut-in scenarios, and established a safety distance model of the cut-in car. So that the ACC car can respond in advance and quickly switch the following target to the cut-in car when facing the cut-in car.…”

Section: Introductionmentioning

confidence: 99%

Research on Adaptive Cruise Control Car-following Model Based on Dynamic Spacing in V2X Scenario

Piao

2022

J. Phys.: Conf. Ser.

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In the adaptive cruise control (ACC) car-following model, the constant spacing strategy cannot adapt to complex and variable deceleration and acceleration situations. When the preceding car decelerates or accelerates suddenly, considering the safety and adaptability, the desire spacing should be larger or smaller, so the desire spacing is not only related to the speed of the two cars, but also to the speed change of the preceding car. For this problem of the deficiency, which the desire spacing existed, an adaptive cruise control car-following model based on dynamic headway strategy is proposed in this paper. In order to achieve more realtime and more accurate information transmission, this paper uses the v2v communication in v2x environment to obtain the preceding car information. MATLAB/Simulink is used to simulation modelling for verification and analysis. The experimental results show that, under the same simulation conditions, the dynamic spacing strategy proposed in this paper have a larger desire spacing for safety when preceding car decelerates, and a smaller desire spacing for comfort and road dynamic utilization when preceding car accelerates. So, the dynamic spacing strategy proposed in this paper shows different improvement effects for different acceleration and deceleration conditions.

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“…The MPC controller with linear time variation can improve the flexibility and stability of vehicle steering through multi-module allocation processing [29,30]. Adding adaptive to MPC can control the stability of vehicle tracking trajectory under complex operating conditions [31,32]. MPC combined with Gaussian function [33] and predictive following theory (PFT), respectively [34], such can improve vehicle driving comfort.…”

Section: Introductionmentioning

confidence: 99%

Battery Energy Consumption Analysis of Automated Vehicles Based on MPC Trajectory Tracking Control

Pei

Zhang

2022

Electrochem

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In the field of automated technology research and development, trajectory tracking plays a crucial role in the energy consumption of the vehicle’s power battery. Reducing the deviation between the actual trajectory and the reference trajectory is the focus of trajectory tracking research. This paper proposes the use of the model predictive control (MPC) method to reduce the deviation of lateral and longitudinal position between the actual driving trajectory and the reference trajectory. First, the driving conditions of the vehicle are reflected by establishing the vehicle dynamics model. Then, the MPC trajectory tracking controller is built by designing the objective function with constraints; Finally, the feasibility of this approach was verified by a joint Carsim-Simulink simulation. The simulation results show that the MPC controller designed in this paper can track the trajectory better, and reduce the lateral and longitudinal position deviation. To a certain extent, the battery energy consumption is reduced and the accuracy of the tracking trajectory and the safety of vehicle driving are improved.

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Adaptive Cruise Control for Cut-In Scenarios Based on Model Predictive Control Algorithm

Cited by 18 publications

References 30 publications

Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data

Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data

Research on Adaptive Cruise Control Car-following Model Based on Dynamic Spacing in V2X Scenario

Battery Energy Consumption Analysis of Automated Vehicles Based on MPC Trajectory Tracking Control

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