With the aim of mitigating traffic oscillations, this paper extends a car-following model for Connected Cruise Control (CCC) systems by considering electronic throttle angles of multiple cars ahead. The linear stability condition of the proposed model is derived and numerical simulations are performed. It has been found that the proposed model is prominently better than the previous model, i.e. full velocity difference model, from the perspective of mitigating traffic oscillations. Additionally, the proposed model can also reduce fuel consumption, emissions, i.e. CO, HC and NOX, safety risk, and improve driving comfort at the same time. Simulation results suggest that the CCC car-following control design should consider the effect of multiple electronic throttle angles from the preceding cars.
Pipes LA. An operational analysis of traffic dynamics. Journal of Applied Physics. 1953;24(3): 274-281.
Newell GF. Nonlinear effects in the dynamics of car following. Operations Research. 1961;9(2): 209-229.
Bando M, Hasebe K, Nakayama A, et al. Dynamical model of traffic congestion and numerical simulation. Physical Review E. 1995;51(2): 1035-1042.
Jiang R, Wu Q, Zhu Z. Full velocity difference model for a car-following theory. Physical Review E. 2001;64(1): 017101.
Treiber M, Hennecke A, Helbing D. Congested traffic states in empirical observations and microscopic simulations. Physical Review E. 2000;62(2): 1805-1824.
Wang H, Wang W, Chen J. General Newell model and related second-order expressions. Transportation Research Record: Journal of the Transportation Research Board. 2011;2260: 42-49.
Wang H, Li Y, Wang W, et al. Optimal velocity model with dual boundary optimal velocity function. Transportmetrica B: Transport Dynamics. 2017;5(2): 215-232.
Ntousakis IA,
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