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May 24, 2026International Journal of Modern Physics C

The study about capacity drops of CAVs system under a heuristic rules-based algorithm at minor-level merging on multi-lane highways

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Authors

HLHuaqing LiuXLXiaohu Li葛葛红霞Ningbo University

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Implication

Randomized trial investigates capacity drop during minor-level merging in CAVs, indicating traffic optimization challenges.

Key Points

  • This research aims to explore capacity drops in connected and automated vehicles (CAVs) during minor-level merging on multi-lane highways.
  • Used simulation to analyze traffic performance indicators including travel delay and fuel consumption on three-lane highways.
  • Applied a heuristic rules-based algorithm focusing on virtual vehicle interactions during merging scenarios.
  • Investigated the dynamic balance of outflow and inflow rates with respect to maximum capacity.
  • Capacity drop during minor-level merging leads to redistribution of flow rates, affecting traffic performance metrics.
  • The control algorithm improves main lane traffic performance at the cost of efficiency on branch lanes.
  • Simulation results show that outflow after merging remains balanced despite varying inflow on the main lane.

Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/6a1296c748a0ea1665673d95https://doi.org/10.1142/s0129183127501026
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