基于元胞自动机的南京南站北落客平台运行组织优化

Optimization of Transportation Organization of the North Drop-Off Region of Nanjingnan Railway Station Based on Cellular Automata

南京南站北落客平台现状交通组织形式存在受迫停车的问题,通行效率较低。针对此问题,提出“斜列式”运输组织模式,并以元胞自动机为理论基础,开发了“斜列式”落客平台运行仿真系统,通过设定不同的速度、落客习惯、并排规则等,研究不同条件下“斜列式”落客平台运行特征。仿真结果表明,“斜列式”组织方式无受迫停车问题,能够有效突破原有落客模式瓶颈,提高落客平台通过能力;此外,在一定速度范围内,通行能力与车辆运行速度正相关,当速度达到一定值后,限制通行能力的关键则为落客过程所需时间及落客平台可提供的落客位数。

The current traffic organization form of the north drop-off region of Nanjing South Railway Station has the problem of forced parking,and the traffic efficiency is low.Aiming at this problem,the'Oblique'transportation organization mode is proposed,and the'Oblique'drop-off region operation simulation system is developed based on cellular automata.By setting different speeds,drop-off habits,and side-by-side rules,the'Oblique'drop-off region operation characteristics under different conditions are studied.The simulation results show that the'Oblique'organization mode has no forced parking problem,which can effectively break through the bottleneck of the original mode and improve the carrying capacity of the drop-off region.In addition,within a certain speed range,the traffic capacity is positively correlated with the vehicle running speed.When the speed reaches a certain value,the key to limiting the traffic capacity is the time required for the drop-off process and the number of drop-off places available on the drop-off region.