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Phase transitions and spectral entropy of heterogeneous vehicles comprised of CAVs and HDVs in flux restriction scenarios

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  • Jin, Can
  • Qing, Li
  • Zhu, Meilan
  • Peng, Guanghan

Abstract

The shape of roads and physical facilities are important factors that affect traffic operation. Therefore, on many road sections, flux restriction measures are adopted to cope with traffic safety and smoothness under complex road conditions. Accordingly, the flux restriction information is more easily obtained by connected autonomous vehicles (CAVs) than human driven vehicles (HDVs). Subsequently, the flux restriction difference effect (FRDE) is supplied to create a heterogeneous lattice model comprised of CAVs and HDVs. Additionally, both linear and nonlinear analyses are executed to investigate the FRDE impact on phase transitions. Moreover, the density variation and the density difference are explored to state the influence of FRDE on mixed traffic congestions from two factors involving the penetration of CAVs and the FRDE through simulation. Also, based on power spectrum theory, we investigate the spectral entropy to reveal the impact of the penetration of CAVs and the FRDE on mixed traffic from deep perspective via simulation.

Suggested Citation

  • Jin, Can & Qing, Li & Zhu, Meilan & Peng, Guanghan, 2025. "Phase transitions and spectral entropy of heterogeneous vehicles comprised of CAVs and HDVs in flux restriction scenarios," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:chsofr:v:191:y:2025:i:c:s0960077924015145
    DOI: 10.1016/j.chaos.2024.115962
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