| 引用本文: | 于天翔,梁士栋,何胜学.需求响应公交混合能源编队调度研究(J/M/D/N,J:杂志，M：书，D：论文，N：报纸).期刊名称,2026，43（1）：97-105 |
| CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435 |
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| 摘要: |
| 目的 探究在燃油车辆和电动车辆混合编队情况下的需求响应公交调度方式,旨在结合两种车型各自所具
有的优势,从而在满足乘客个性化出行需求的同时尽可能降低运营成本。 方法 提出了基于时空网络需求响应的公
交调度模型,并设计了一种以总运营成本最小化为优化目标的网络进化算法,可以在满足运输需求的同时大幅优
化企业运营成本。 结果 以西班牙巴塞罗那数据作为实例进行研究,对实际情况下的车辆运营调度策略、电量变化
情况进行了分析,并进行了敏感性分析,探究了充电功率、电池容量、用电价格等因素对总运营费用和车队规模的
影响。 实验表明:电动车辆的电池容量和充电效率对总运营费用影响较大,当充电功率为 180 kW,电池容量为
110 kWh,充电费用为 0. 3 元/ kWh 时,可得最小日均运营费用为 1 895 元。 结论 燃油与电动车混合编队下的需求
响应公交服务更加灵活,能够在降低运营成本的前提下满足更多样化的出行服务且降低服务所产生的碳排放。 |
| 关键词: 需求响应公交 时空网络 进化算法 电动车辆 混合编队调度 |
| DOI： |
| 分类号: |
| 基金项目: |
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| Scheduling of Hybrid-energy Platoons for Demand-responsive Buses |
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YU Tianxiang LIANG Shidong HE Shengxue
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Business School University of Shanghai for Science and Technology Shanghai 200093 China
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| Abstract: |
| Objective This study aims to explore the scheduling mode of demand-responsive buses in the case of a hybrid
platoon of fuel-powered vehicles and electric vehicles. By combining the advantages of the two types of vehicles it intends
to meet the personalized travel needs of passengers while minimizing the operating costs. Methods A demand-responsive
bus scheduling model based on the spatio-temporal network was proposed and a network evolutionary algorithm with the
goal of minimizing the total operating cost was designed. This algorithm significantly optimized the enterprise?? s operating
costs while meeting the transportation demand. Results Taking the data of Barcelona Spain as an example the vehicle
operation scheduling strategy and the change in electricity amount in the actual situation were analyzed and a sensitivity
analysis was conducted. The impacts of factors such as charging power battery capacity and electricity price on the total
operating cost and the fleet size were explored. The experiment showed that the battery capacity and charging efficiency of
electric vehicles have a relatively large impact on the total operating cost. When the charging power was 180 kW the
battery capacity was 110 kWh and the charging cost was 0. 3 yuan / kWh the minimum average daily operating cost was
1 895 yuan. Conclusion The demand-responsive bus service under the hybrid platoon of fuel-powered and electric
vehicles is more flexible. It can provide more diverse travel services and reduce the carbon emissions generated by the
service on the premise of reducing the operating cost. |
| Key words: demand-responsive bus spatio-temporal network evolutionary algorithm electric vehicle hybrid platoon
scheduling |
