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Research on microscopic traffic flow modeling and energy characteristics in the energy-saving driving environment

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Abstract

The ongoing global energy crisis and implementation of the “carbon peak, carbon neutrality” policy have increased drivers' propensity to drive energy efficiency. It is vital to model the energy-saving traffic flow phenomenon and find its energy consumption characteristics. This paper constructs the desired energy consumption speed model (a continuous function) for the first time. Next, an improved full-velocity difference model (E-FVDM) with the energy-saving coefficient is proposed to characterize the energy-saving traffic flow properties. Additionally, the E-FVDM stability condition is analyzed via linear stability theory. The numerical simulation findings demonstrate that traffic flow simulated by the E-FVDM has a smaller speed amplitude, a later congestion arrival time, and a lower congestion severity when compared to the full velocity difference model. The total energy consumption of the simulated traffic flow is reduced by up to 57% when employing the E-FVDM with a higher energy-saving coefficient. The average energy consumption evolves more quickly as the flow increases. When the energy-saving coefficient increases, the flow intensity of the following vehicle's total energy consumption to kinetic energy, air resistance energy consumption, and road frictional resistance energy consumption increase, while the flow intensity to the internal energy consumption of the vehicle drops. The phase transition features of the traffic flow states can be obtained in the energy intensity index curve of air resistance energy consumption. This study can offer technical assistance for reducing emissions and conserving energy in the transportation sector.

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Data availability

The datasets generated and analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.

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Funding

This work was supported by the National Real Science Foundation of China (42107114, 42177084), the Tianjin Science and Technology Plan Project (20YFZCSN01000) and the Fundamental Research Funds for the Central University of China (63221411).

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Authors and Affiliations

  1. Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China

    Bin Sun, Qijun Zhang, Chao Zou, Ning Wei, Zhenyu Jia & Hongjun Mao

  2. School of Civil and Transportation, Hohai University, Nanjing, 210098, China

    Zhong Wu

Authors
  1. Bin Sun
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  2. Qijun Zhang
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  3. Chao Zou
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  4. Ning Wei
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  5. Zhenyu Jia
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  6. Zhong Wu
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  7. Hongjun Mao
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Contributions

BS involved in writing—original draft, visualization, formal analysis, conceptualization, methodology, investigation, and data curation. QZ involved in writing—review and editing, supervision, and methodology. CZ involved in investigation and methodology. NW involved in investigation and methodology. ZJ involved in investigation and methodology. ZW involved in investigation and methodology. HM involved in supervision, resources, validation, and funding acquisition.

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Correspondence to Qijun Zhang or Hongjun Mao.

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Sun, B., Zhang, Q., Zou, C. et al. Research on microscopic traffic flow modeling and energy characteristics in the energy-saving driving environment. Nonlinear Dyn 111, 14365–14378 (2023). https://doi.org/10.1007/s11071-023-08582-9

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  • DOI: https://doi.org/10.1007/s11071-023-08582-9

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