scholarly journals Research on adaptive cruise control algorithm considering road conditions

2021 ◽  
Author(s):  
Zhi Yang ◽  
Rui He ◽  
Sumin Zhang ◽  
Jian Wu
Keyword(s):  
Control Algorithm ◽  
Adaptive Cruise Control ◽  
Cruise Control

Communication Aspects of a Modified Cooperative Adaptive Cruise Control Algorithm

2019 ◽  
Vol 20 (12) ◽  
pp. 4513-4523 ◽  
Author(s):  
Michal Sybis ◽  
Vladimir Vukadinovic ◽  
Marcin Rodziewicz ◽  
Pawel Sroka ◽  
Adrian Langowski ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Adaptive Cruise Control ◽  
Cruise Control ◽  
Cooperative Adaptive Cruise Control

scholarly journals Adaptive Cruise Control Strategy Design with Optimized Active Braking Control Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Wenguang Wu ◽  
Debiao Zou ◽  
Jian Ou ◽  
Lin Hu
Keyword(s):  
Predictive Control ◽  
Control Algorithm ◽  
Adaptive Cruise Control ◽  
Ride Comfort ◽  
Hierarchical Control ◽  
Cruise Control ◽  
Safe Distance ◽  
Model Predictive Control Algorithm ◽  
Braking Control ◽  
Strategy Design

The braking quality is considered as the most important performance of the adaptive control system that influences the vehicle safety and ride comfort remarkably. This research is aimed at designing an adaptive cruise control (ACC) system based on active braking algorithm using hierarchical control. Taking into account the vehicle with safety and comfort, the upper decision-making controller is designed based on model predictive control algorithm. Throttle controller and braking controller are designed with feedforward and feedback algorithms as the bottom controller, where the braking controller is designed based on the hydraulic braking model. The whole model is simulated collaboratively with Amesim, Carsim, and Simulink. By comparison with the full deceleration model, the results show that the proposed algorithm can not only make the vehicle maintain a safe distance under the premise of following the target vehicle ahead effectively but also provide favorable driving comfort.

scholarly journals Safety Analysis of a Modified Cooperative Adaptive Cruise Control Algorithm Accounting for Communication Delay

2020 ◽  
Vol 12 (18) ◽  
pp. 7568
Author(s):  
Yi Liu ◽  
Wei Wang ◽  
Xuedong Hua ◽  
Shunchao Wang
Keyword(s):  
Sensitivity Analysis ◽  
Time Delay ◽  
Communication Systems ◽  
Control Algorithm ◽  
Adaptive Cruise Control ◽  
Cruise Control ◽  
Time To Collision ◽  
Cooperative Adaptive Cruise Control ◽  
Communication Time ◽  
Realistic Information

Cooperative adaptive cruise control (CACC) is a promising technology to improve traffic efficiency and enhance road safety. In this paper, a modified CACC control model considering the communication time delay is proposed, which is used to investigate the longitudinal safety impacts of the communication time delay to the CACC platoon. Then, the communication time delay model is integrated into the CACC model to simulate the realistic information transfer process in the CACC platoon. Then a microscopic CACC platoon simulation is designed and conducted to verify the feasibility and reliability of the modified CACC control algorithm. The obtained results reveal that the modified CACC control algorithm can not only reduce about 96.6% of inter-vehicle spacing error, but also enhance the vehicles’ ability to sense the upstream traffic changes. Furthermore, to quantitatively analyze the longitudinal safety influence of the time delay caused by representative communication systems, sensitivity analysis experiments of headway time were designed and conducted. In the sensitivity analysis, the time exposed time-to-collision (TET) and the time-integrated time-to-collision (TIT) were introduced as the key performance indicators (KPIs) to quantify the rear-end collision risks. Sensitivity analysis results demonstrate that the performance of the CACC platoon is strictly related to the applied wireless communication style. Furthermore, the CACC system supported by the 5th generation (5G) communication system shows great advantages in narrowing the minimal headway time gap and reducing the rear-end collision risks.

Smooth Motion Control of the Adaptive Cruise Control System With Linear Quadratic Control With Variable Weights

2010 ◽  
Author(s):  
Sanggyum Kim ◽  
Masayoshi Tomizuka ◽  
Kuo-Hsiang Cheng
Keyword(s):  
Control Algorithm ◽  
Adaptive Cruise Control ◽  
Fuel Efficiency ◽  
Cruise Control ◽  
Linear Quadratic ◽  
Variable Weights ◽  
Cruise Control System ◽  
Smooth Motion ◽  
Improved Performance ◽  
Lead Vehicle

A virtual lead vehicle scheme is introduced to make the switching between the speed control algorithm and the distance control algorithm unnecessary. This method is shown to provide a good reaction for when a lead vehicle cuts in or out. A linear quadratic controller with variable weights is suggested to control the virtual lead vehicle. This scheme shows improved performance in terms of passenger comfort and fuel efficiency of the host vehicle.

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