Car-following model for autonomous vehicles and mixed traffic flow analysis based on discrete following interval
Shuke An,
Liangjie Xu,
Lianghui Qian,
Guojun Chen,
Haoshun Luo and
Fu Li
Physica A: Statistical Mechanics and its Applications, 2020, vol. 560, issue C
Abstract:
In this paper, a discrete car-following interval model for autonomous vehicles is proposed, with the steady following and dynamic following intervals, and the range of the steady following interval is established. The stability conditions of the model are explored using linear stability analysis theory. Numerical simulation is used to verify the influence of the discrete following interval model on mixed traffic flow under small perturbations and hard braking. The research results show that with the increase in the proportion of autonomous vehicles, the stability of traffic flow is gradually enhanced. In particular, in the small perturbation condition, the autonomous vehicle has a speed maintenance period in the steady following interval, thereby reducing the influence of the preceding vehicle perturbations. With the increase of the steady following interval, the stability of traffic flow first increases and then decreases. Moreover, when the length of steady following interval is constant, with the increase of the minimum safety time headway, the stability of traffic flow is gradually enhanced.
Keywords: Car-following model; Discrete following interval; Stability analysis; Margin threshold (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (15)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:560:y:2020:i:c:s0378437120306580
DOI: 10.1016/j.physa.2020.125246
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