摘要
文章针对轨道交通工作日高峰期多站客流控制与公交接驳协同优化问题开展研究,提出以城市轨道交通客流控制为核心,接驳公交作为高峰时段轨道交通运力临时补充的协同限流策略。首先,充分利用现有公交资源,以步行距离筛选候选接驳公交站点;接着,以最优进站人数、公交车分配数量、公交线路布设条件为主要决策变量,以受客流控制影响的乘客广义出行成本最少为优化目标,考虑客流需求、车站能力、区间运输能力、列车能力、公交线路等约束,构建高峰期轨道交通与常规公交协同限流混合优化模型。通过模型重构对模型进行线性化处理,并采用Gurobi求解器对模型进行求解。最后,以上海地铁17号线为例,验证了该模型的有效性和可行性。
This paper studies the problem of collaborative optimization of rail transit multi-station passenger flow control and bus connection during weekday peak hours,and proposes a collaborative flow limiting strategy with urban rail transit passenger flow control as the core and bus connection as the temporary supplement of rail transit capacity during peak hours.Firstly,this paper makes full use of the existing bus resources and selects the candidate bus stations according to the walking distance.Then,with the optimal number of passengers entering the station,the number of buses allocated and the conditions of bus route layout as the main decision variables,and the minimum generalized travel cost of passengers affected by passenger flow control as the optimization objective,considering the constraints of passenger flow demand,station capacity,interval transport capacity,train capacity and bus line,the collaborative flow limiting hybrid optimization model of rail transit and conventional bus in peak hours is constructed.The model is linearized by model reconstruction,and the model is solved by Gurobi solver.Finally,the validity and feasibility of the model are verified by taking Shanghai Metro Line 17 as an example.
作者
陆俊波
郭凌峰
沙悦
LU Junbo;GUO Lingfeng;SHA Yue(College of Urban Rail Transit,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《物流科技》
2024年第14期78-84,共7页
Logistics Sci-Tech
关键词
城市轨道交通
协同限流
高峰时期
公交接驳
urban rail transit
collaborative passenger flow control
peak period
bus connection
