Fundamental diagram of mixed traffic flow considering time lags, platooning intensity, and the degradation of connected automated vehicles

Ruijie Li, Siyuan Sun, Yunxia Wu, Huijun Hao, Xuguang Wen and Zhihong Yao

Physica A: Statistical Mechanics and its Applications, 2023, vol. 627, issue C

Abstract: To investigate the impact of connected automated vehicles (CAVs) on the characteristics of mixed traffic flow this paper proposed a fundamental diagram to consider time lags, platooning intensity, and the degradation of CAVs. First, the cooperative adaptive cruise control (CACC), adaptive cruise control (ACC), and intelligent driver model (IDM) are used to describe the car-following behavior characteristics of CAVs, and degraded CAVs (DCAVs), and HDVs, respectively. Second, a fundamental diagram model of mixed traffic flow under different penetration rates of CAVs is derived. The model is related to CAVs degradation, time lags, and platooning intensity. Then, a sensitivity analysis is investigated, including platooning intensity, free-flow speed, and minimum safety distance. Finally, the proposed model is verified by a simulation experiment designed by SUMO. The results show that the free-flow speed, penetration rate, and platooning intensity of CAVs positively affect the traffic capacity and optimal traffic density of mixed traffic flow. On the contrary, the time lags and minimum safety distance harm the traffic capacity and optimal traffic density of mixed traffic flow.

Keywords: Connected automated vehicles; Mixed traffic flow; Car-following model; Fundamental diagram; Time lags; Platooning intensity (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:627:y:2023:i:c:s0378437123006854

DOI: 10.1016/j.physa.2023.129130

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