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Car-Following Model Optimization and Simulation Based on Cooperative Adaptive Cruise Control

Author

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  • Cheng-Ju Song

    (Transportation Collage, Jilin University, Changchun 130022, China)

  • Hong-Fei Jia

    (Transportation Collage, Jilin University, Changchun 130022, China)

Abstract

This study aims to improve the desired distance adaptability of the cooperative adaptive cruise control (CACC) during car-following. In this study, the characteristics of the desired distance in different traffic flow states were analyzed. The general functional form of the desired distance in the car-following process was formulated. Then, a car-following platoon was constructed to compare the car-following effect of the platoon under different conditions, using the following speed and the lead vehicle disturbance, as the observed variable and the simulation condition, respectively. The car-following effect of the platoon under different parameters was also compared, based on the improved CACC model. The results show that the improved CACC model exhibited more advantages in car-following efficiency, it can better describe the state of the car-following queue under different traffic flow parameters and car-following behavior conditions, it has a strong anti-interference ability for the fluctuation of the car-following queue and is conducive to further improving the intelligent operation of car-following queue.

Suggested Citation

  • Cheng-Ju Song & Hong-Fei Jia, 2022. "Car-Following Model Optimization and Simulation Based on Cooperative Adaptive Cruise Control," Sustainability, MDPI, vol. 14(21), pages 1-12, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14067-:d:956402
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    References listed on IDEAS

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