基于元胞自动机的轨道交通突发客流拥堵消散演化机理研究

为保证城市轨道交通运输系统在突发客流条件下能够安全高效运营，本文基于元胞自动机建立城市轨道交通突发客流拥堵传播模型.分析突发客流量拥堵传播过程，采用状态参数集反映车站拥挤程度的多样化差异，定义更为准确合理的客流量元胞自动机演化规则.以成都市轨道交通部分线网为例，仿真设置不同量值的突发客流，研究线网客流状态的演化规律.结果表明，随着突发客流量增加，客流状态从区域拥堵演化至线拥堵的速度减缓，从线拥堵演化至点拥堵的速度保持不变或略有加快.此外，大量突发客流会引起拥堵消散速度的减缓，造成更大时空范围的区域性拥堵.

Evolution Mechanism of Congestion and Dissipation of Sudden Passenger Flow in Urban Rail Transit Based on Cellular Automaton

To ensure the system safety and operational efficiency of urban rail transits under the condition of sudden passenger flow, this paper establishes a congestion propagation model of rail transit based on cellular automata. The propagation process of sudden passenger flow congestion is first analyzed, and the state parameter set is used to reflect the diversity of station congestion. A more accurate and reasonable evolution rule of passenger flow cellular automata is defined. Taking the rail transit network of Chengdu as an example, the evolution law of the passenger flow state is examined by simulating the sudden passenger flow with different values. The results show that the evolution speed from regional congestion to line congestion decreases with the improvement of sudden passenger flow, while the speed from line congestion to point congestion remains unchanged or slightly increases. In addition, a large number of sudden passenger flow will slow down the speed of congestion dissipation, and then cause regional congestion in a larger space- time range. The research results can provide decision support related to passenger evacuation for rail transit management departments.