影响因子：3.2
DOI码：10.1016/j.physa.2026.131915
所属单位：Hefei University of Technology
发表刊物：Physica A: Statistical Mechanics and its Applications
刊物所在地：USA
关键字：Upgrade bottlenecks exhibit a position-dependent pre-drop capacity reduction and a lower discharge boundary after queue formation because grade resistance enlarges effective headways and limits acceleration during recovery. For mixed traffic composed of connected and automated vehicles (CAVs) and connected human-driven vehicles (CHVs), this study develops a coordinated controller that combines dynamic CAV-dedicated-lane (DDL) activation with lane-level variable speed limits (LVSL). Pre-drop and drop-state physical capacity boundaries are derived for the inactive and active lane states as functions of lane composition and car-following mode. A lane- level cell transmission model predicts bottleneck demand, CAV capture, dedicated-lane utiliza- tion, and lateral redistribution. The DDL is activated only when capacity pressure, utilization, and allocation-aware usable-capacity gain are jointly satisfied, after which LVSL regulates the lon- gitudinal arrival process. Simulations show that LVSL mainly delays and smooths arrivals, whereas DDL activation changes the usable service boundary. At 60% CAV penetration, DDL- LVSL reduces system total time spent and mean delay by 23.0% and 64.1%, respectively, rela- tive to LVSL-only, and increases peak-period bottleneck discharge by 16.7%. It also slightly outperforms static lane reservation while remaining inactive at 20% penetration, thereby avoiding low-utilization capacity loss. Gate-ablation results show that pressure-only activation is harmful at low penetration and utilization-only activation is unnecessary at high penetration. Targeted tests across demand, grade, eometry, and 80–100% CHV compliance indicate local robustness, with the largest benefit near the critical demand regime.
论文类型：期刊论文
论文编号：131915
学科门类：工学
文献类型：J
卷号：699
页面范围：131915
字数：12000
是否译文：否
发表时间：2026-08-04
收录刊物：SCI、EI
发布期刊链接：https://doi.org/10.1016/j.physa.2026.131915