- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | LIANG Jun, YU Yang, WANG Wensa, CHEN Long. Optimal Control for Ride Comfort of Cooperative Adaptive Cruise Control System Under Mixed Traffic Flow[J]. Journal of Southwest Jiaotong University, 2021, 56(6): 1290-1297. doi: 10.3969/j.issn.0258-2724.20200514
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To improve the ride comfort of cooperative adaptive cruise control (CACC) system under the mixed traffic flow that comprises connected automated vehicle (CAV) and manual vehicle (MV), a dual-layer control strategy considering ride comfort (RC-DCS) is proposed. From a macro perspective, the upper controller adopts a two-state space model to adjust the following distance and speed, and improve the overall stability and comfort of the fleet by the use of the cost function. From a microscopic perspective, the lower controller optimizes the logic of switching the throttle and brake pedal of a single vehicle, and stabilizes its actual acceleration output, thereby reducing the pitch caused by frequent acceleration and deceleration. The experimental results show that, the RC-DCS can reduce the following distance error and acceleration by 72.44% and 24.87% respectively in following MV condition. In the condition of MV cut-in CACC fleet, the acceleration fluctuation is reduced by increasing the following headway of 0.4 s. In the three typical conditions of vehicle following, emergency braking and cut-in, the standard deviation of the single-vehicle acceleration is reduced by 9.6%, 10.4% and 2.9%, respectively.
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