文档介绍：低碳模式下的轨道交通客流分配方法
俞秋田1, 严凌1, 刘魏巍1, 王锦阳2
(,上海 200093;,上海 200120)
摘要:本文分析了国内外轨道交通客流需求预测机理,针对常规客流预测模型在低碳模式下存在的缺陷,对常规模型进行了优化改进。在“四阶段法”中的方式划分和交通分配阶段引入了低碳因子,考虑了低碳出行链,结合多方式多类型综合网络条件下的均衡分配模型,提出了控制和减少城市交通系统碳排放的双层规划模型,并采用模拟退火优化算法对模型进行求解。最后将模型运用于上海市综合交通网络客流分配,对该模型和算法进行验证。结果表明,改进后的低碳模式下的轨道交通客流分配模型,能够更准确的反映轨道交通客流分布,有效地降低了城市交通系统的碳排放总量。
关键词:轨道交通;客流分配;双层规划模型;低碳模式;综合交通网络
中图分类号:U 491
文献标识码:A
The assignment method of urban rail transit passenger flow in low-carbon-model
YU Qiu-tian作者简介:俞秋田(1989-),男,硕士研究生,研究方向:城市交通规划. E-mail:yqt925@
严凌(1963-),男,副教授. E-mail:@
, YAN Lin1, LIU Wei-wei1, WANG Jin-yang2
( School, University of Shanghai for Science and Technology, Shanghai 200093, China;2. UNITED DESIGN GROUP, Shanghai 200120, China)
Abstract: This paper analyses the urban rail transit passenger flow forecasting theory, based on the disadvantage of the general traffic prediction model in low-carbon-mode, then optimizes the general model. Adding low-carbon factor to the phases: modal split and trip assignment, considering low-carbon trip chain, combining with multi-modal & multi-class assignment (MMA) model in the work, this paper presents a Bi-Level Programming Model of controlling and reducing the carbon emission. And it’s solved by simulating annealing optimization algorithm. At last, the proposed model is applied to the passenger flow assignment of t