电动化模块车调度模式设计及智能决策方法

By using an electrified modular vehicle scheduling mode, the automation stage and capacity of the modular vehicles can be dynamically adjusted, solving the problem of resource waste in traditional public transportation systems under changing demands and improving the economy and service quality of public transportation systems.

CN116363853BActive Publication Date: 2026-07-17DALIAN UNIV OF TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
DALIAN UNIV OF TECH
Filing Date
2022-12-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional public transportation systems struggle to effectively meet ever-changing travel demands, and existing research on modular vehicles ignores the differences in automation levels and the limitations of driverless technology, resulting in high public transportation scheduling costs and significant resource waste.

Method used

An electrified modular vehicle scheduling mode was designed. By defining different automation stages of modular vehicles, a multi-shift network diagram was constructed, a modular vehicle scheduling model was established, the coupling/disassembly operations of modular vehicles were optimized, vehicle capacity was dynamically adjusted to match travel demand, and the impact of automation level on cost was considered. A mixed integer programming solver was used for optimization.

Benefits of technology

The modular vehicle dispatching system achieves economy and flexibility under changing demands, reduces operating costs, improves passenger travel service quality, and provides intelligent decision-making methods to adapt to different travel demand scenarios.

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Abstract

本发明公开一种电动化模块车调度模式设计及智能决策方法。首先确定初级、中级、高级三个自动化阶段以区分模块车组不同的驾驶模式对调度系统带来的人力成本差异。然后引入了包含班次节点,车场节点的网络图,通过限制节点之间弧段的连接类型和条件显著降低了运行网络的复杂性。基于此建立了模块车的网络调度模型以优化包括车队派遣、电力消耗等多项成本在内的公共交通系统的总成本。最后设置了典型的需求场景来对比传统电动公交调度模式与本发明所提出的电动模块车调度模式的经济性能。本发明所提出的模块化调度模型可以通过模块车耦合 / 拆解的技术实现动态容量控制,以契合多变的时空需求,提高公共交通系统运营经济性以及改善乘客出行服务质量。
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