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

Cheng-Ju Song and Hong-Fei Jia ()
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Cheng-Ju Song: Transportation Collage, Jilin University, Changchun 130022, China
Hong-Fei Jia: Transportation Collage, Jilin University, Changchun 130022, China

Sustainability, 2022, vol. 14, issue 21, 1-12

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.

Keywords: traffic engineering; car-following platoon; the desired distance; car-following efficiency; simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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