Abstract:

With the development of rail transit network operation, passenger congestion becomes a normal state for urban rail transit in big cities. A CA-based simulation model of large passenger flow congestion transmission is proposed. Congestion transmission among stations and sections of large commuter passenger flow is investigated. The presented simulation model reflects interactions between different stations and interactions between stations and trains by local evolution rules, which overcomes the limitation of meanfield method. Load factor is defined as the measurement of congestion transmission intensity. Indicators covering network, line and station levels are established to quantitatively analyze rules of congestion transmission. The result shows the presented model is effective to analyze predictive large passenger flow, and to predict propagation rule of congestion, providing support for passenger flow control and evaluation.

Key words: urban traffic, congestion transmission, cellular automaton, urban rail transit, simulation model

摘要：

随着轨道交通网络化运营的发展，客流拥挤己成为大城市轨道交通常态.本文基于元胞自动机建立轨道交通大客流拥堵传播仿真模型，研究通勤大客流情景下城市轨道交通车站与区间拥堵状态传播问题.该仿真模型克服平均场理论的局限，通过建立局部交互的演化规则反映大客流传播过程中车站与车站间、车站与列车间的交互作用，定义列车满载率作为传播强度的衡量指标.从网络层、线路层和车站层构建指标，定量分析大客流拥堵传播规律.结果表明，本文模型可用于分析可预见性的大客流，预测客流在轨道交通网络中的传播规律，为客流控制策略的制定和评价提供依据.

关键词: 城市交通, 拥堵传播, 元胞自动机, 城市轨道交通, 模型仿真