摘要
为降低城市轨道交通网络可预见性大客流对日常运营的影响,分析大客流的产生原因及其对车站的影响。建立基于客流实时分布的拥堵传播模型,具体包括列车到站时间、站台客流量、列车停站时间、候车客流量、列车到站时下车客流量、上车客流量、列车离站时车上客流量及滞留客流量等8个模拟分析指标;根据车站滞留客流量确定车站状态,观察其在城市轨道交通网络中的动态传播过程。结果表明:大客流拥堵传播与发生拥堵车站的结构特性有关;根据实际情况,缩小发车时间间隔,可加速客流输送,降低拥堵发生率。
In order to reduce the effect the predictable large passenger flow on the daily operations of urban rail transit network,causes of the mass passenger flow and its influence on the station were analyzed. A congestion propagation model was built,which was based on the real-time distribution of passenger flow. The model contains 8 indicators： train arrival time,platform passenger flow,train stop time at station,waiting passenger flow,alighting passenger flow,boarding passenger volume,passenger flow on board,and stranded passenger flow. The core of the model reflects the dynamic propagation process in the network according to the station state determined by the indicator of the stranded passengers at the station.The results show that large passenger flow propagation is related to the structural characteristics of the station where congestion occurring,and that according to the actual conditions,proper shortening departure interval can accelerate the transportation of passenger flow and reduce the probability of congestion.
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2016年第1期162-168,共7页
China Safety Science Journal
