TY  - JOUR
PY  - 2023//
TI  - A parsimonious enhanced Newell's model for accurate reproduction of driver and traffic dynamics
JO  - Transportation research part C: emerging technologies
A1  - Zheng, Shi-Teng
A1  - Jiang, Rui
A1  - Jia, Bin
A1  - Tian, Junfang
A1  - Bouadi, Marouane
A1  - Makridis, Michail A.
A1  - Kouvelas, Anastasios
SP  - e104276
EP  - e104276
VL  - 154
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0968-090X
UR  - http://dx.doi.org/10.1016/j.trc.2023.104276
ID  - ref1
ER  -