An extended lattice hydrodynamic model considering the driver’s sensory memory and delayed-feedback control

Yinyin Chang, Zhiting He and Rongjun Cheng

Physica A: Statistical Mechanics and its Applications, 2019, vol. 514, issue C, 522-532

Abstract: 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.

Keywords: Traffic flow; Delayed-feedback control; Driver’s sensory memory; Energy consumption (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (31)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:514:y:2019:i:c:p:522-532

DOI: 10.1016/j.physa.2018.09.097

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