A shared bicycle multi-cycle cooperative rebalancing scheduling method and system

By constructing a multi-cycle collaborative rebalancing scheduling method for shared bicycle systems, and combining user bidding incentives with vehicle route scheduling, the scheduling flexibility and cost issues of shared bicycle systems in multi-site networks are solved, achieving efficient resource utilization and economical operation.

CN122414652APending Publication Date: 2026-07-17SOUTHWEST JIAOTONG UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTHWEST JIAOTONG UNIV
Filing Date
2026-04-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Under the conditions of large-scale networks with multiple stations and time periods, the existing shared bicycle system has low scheduling flexibility, difficulty in responding to scattered small-scale demands in a timely manner, high manual scheduling costs, underutilization of user dispatch potential, and lack of a unified optimization framework for incentive strategies.

Method used

A unified collaborative optimization framework is constructed, which combines user bidding incentive mechanism and vehicle route scheduling. Through a multi-cycle collaborative rebalancing optimization model, the integrated solution of user dispatching decision and vehicle route scheduling is realized, thereby optimizing the station inventory status and reducing imbalance.

Benefits of technology

It improved transportation efficiency and resource utilization, reduced system operating costs, enhanced adaptability to demand fluctuations, and improved operational stability and economy.

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Abstract

本申请公开了一种共享单车多周期协同再平衡调度方法及系统,涉及协同调度领域,具体为:采集共享单车系统的站点信息、车辆调运资源信息以及多周期需求与库存数据;分析各个周期中站点的供需状态,将站点划分为取车站点与卸车站点;在多周期框架下,对用户竞价激励进行两级分配,获得路径级可用激励预算;获取各个周期的各个路径的用户报价,并基于对应的路径级可用激励预算对用户报价执行竞价处理,确定各个路径的的中标用户及统一激励价格;构建融合用户调运决策与车辆集中调运决策的多周期协同再平衡优化模型;求解多周期协同再平衡优化模型,生成当前周期的调运方案。本发明不仅提升了调运效率,而且增强了系统运行的动态适应能力。
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