Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 514, Issue -, Pages 522-532Publisher
ELSEVIER
DOI: 10.1016/j.physa.2018.09.097
Keywords
Traffic flow; Delayed-feedback control; Driver's sensory memory; Energy consumption
Categories
Funding
- National Natural Science Foundation of China [71571107, 61773290]
- K. C. Wong Magna Fund in Ningbo University, China
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In this paper, an extended lattice hydrodynamic model with consideration of the driver's sensory memory and delayed-feedback control is proposed. The control signal about the density difference of the vehicles ahead is taken into account. The control method is used to analyze the stability of the extended model, and the stability condition for the model is derived. Energy consumption is also taken into account in the extended model, which reflects the fuel consumption and emissions of each vehicle. The numerical simulations are explored to illustrate and clarify the results of theoretical analysis. The simulation results show that the driver's sensory memory can enhance the stability of traffic flow and reduce the energy consumption, while density difference weakens the stability of traffic flow and increases the energy consumption. Numerical results are consistent with the corresponding theoretical analysis. (C) 2018 Elsevier B.V. All rights reserved.
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