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垃圾量有限预知下环卫车在线调度策略

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目前,垃圾清运是环保工作重点关注的问题之一,一般垃圾清运成本占总垃圾处理成本的 60%~80%,所以以成本最小化为目标的环卫车调度问题就成为热点问题.现有对该问题的研究大部分都是基于静态需求,最后计算出环卫车调度的离线最优.因此,将需求动态变化的特征纳入考虑范围,提出了在垃圾量有限预知的情况下城市环卫车在线调度的诱导策略和组合优化策略,同时证明了两个策略不同情况下的竞争比.最后通过实例比较策略的执行效果,得出了该实例的最优在线调度策略为诱导策略.
Online Dispatching Strategy of Sanitation Vehicle under Limited Prediction of Garbage Quantity
At present,garbage removal and transportation is one of the key issues of environmental protection work,the general cost of garbage removal and transportation accounts for 60%~80%of the total cost of waste disposal,so the cost of the dispatch of sanitation vehicles has become a hot issue.Most of the existing research on this problem is based on static demand,and finally the optimal offline scheduling of sanitation vehicles is calculated.Therefore,the characteristics of dynamic changes in demand are taken into considera-tion,we propose the induction strategy and combined optimization strategy for online scheduling of urban sanitation vehicles in the case of limited waste prediction,and prove the competitive ratio of the two strategies.Finally,the execution effect of two strategies is com-pared,and the optimal online scheduling strategy is the induction strategy.

sanitation vehiclelimited garbage volume forecastonline schedulingscheduling strategycompetitive ratio

罗杨、石超峰

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重庆交通大学,重庆 400074

环卫车 垃圾量有限预知 在线调度 调度策略 竞争比

2024

黑龙江交通科技
黑龙江省交通科学研究所,黑龙江省交通科技情报总站

黑龙江交通科技

影响因子:0.977
ISSN:1008-3383
年,卷(期):2024.47(3)
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