A parsimonious enhanced Newell’s model for accurate reproduction of driver and traffic dynamics
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发表刊物：Transportation Research Part C: Emerging Technologies
关键字：This paper investigates the stimulus–response behavior between leader and follower in car-following, based on vehicle trajectories in the prevailing field experiments. The analysis result indicates that the follower’s reaction time is time-varying, which can change significantly or keep a constant value for some time; and the follower cannot accurately track the leader in car following, which results in a residual from the follower’s speed. Inspired by the findings, this paper proposes a parsimonious enhanced Newell’s car-following model incorporating the stochastic reaction time and the fluctuation around the vehicle’s desired speed subject to the mean reversion process. The numerical experiment is carried out. It is shown that the proposed model can qualitatively and quantitatively reproduce the following important field observations: (i) the spontaneous formation and evolution of traffic oscillations, (ii) the concave growth pattern of traffic oscillations, (iii) the oscillations’ amplitude and frequency, (iv) the stochastic reproduction of individual trajectories, and (v) the linear speed-capacity relationship. The robustness of the proposed model is demonstrated, compared with the state-of-the-art model. Finally, the sensitivity analysis is carried out to evaluate the effect of each parameter of the proposed model.
论文类型：期刊论文
通讯作者：Shi-Teng Zheng, Rui Jiang, Bin Jia, Junfang Tian, Marouane Bouadi, Michail A. Makridis b, Anastasios Kouvelas
论文编号：104276
卷号：154
是否译文：否
发表时间：2023-09-01
收录刊物：SCI、SSCI