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计算机系统应用英文版:2022,31(12):368-374
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燃油及电动车病人运送问题建模与算例对比分析
(上海理工大学 管理学院, 上海 200093)
Modeling and Comparative Analysis of Patient Transportation by Fuel and Electric Vehicles
(Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)
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Received:January 19, 2022    Revised:February 17, 2022
中文摘要: 针对当前病人运送问题主要以燃油车为主展开研究, 本文围绕电动车运送病人问题建模, 并对燃油及电动车病人运送算例进行对比分析, 以验证电动车运送病人的可行性和优越性. 首先构建燃油车病人运送数学模型, 考虑了每位病人最长乘车时间、车辆最大平均行驶速度和病人时间窗等约束, 以燃油车的行驶消耗成本和加油成本之和最小化为目标. 其次构建电动车病人运送数学模型, 考虑了电车充电时间、剩余电量、电车最大平均行驶速度、每位病人最长乘车时间以及病人时间窗等约束, 以电动车行驶消耗成本和充电成本之和最小化为目标. 最后选取算例并利用LINGO软件进行编程求解, 验证数学模型的可行性和有效性.
中文关键词: 病人运送  燃油车  电动车  数学模型  LINGO
Abstract:Currently, patients are transported mainly by fuel vehicles. In view of this, this study carries out a study to model patient transportation by electric vehicles and analyzes the calculation examples of patient transportation by fuel and electric vehicles through comparison, so as to verify the feasibility and superiority of patient transportation by electric vehicles. Firstly, a mathematical model of patient transportation by fuel vehicles is constructed, which considers constraints such as the longest riding time of each patient, the maximum average speed of vehicles, and the time window for patients, with a goal of minimizing the sum of consumption and refueling costs of fuel vehicles. Secondly, a mathematical model of patient transportation by electric vehicles is constructed, which takes constraints such as the charging time of electric vehicles, the remaining power, the maximum average speed of electric vehicles, the longest riding time of each patient, and the time window for patients into account, with a goal of minimizing the sum of consumption and charging costs of electric vehicles. Finally, an example is selected and solved by LINGO software through programming to verify the feasibility and effectiveness of the mathematical models.
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基金项目:国家自然科学基金(71601118)
引用文本:
罗明亮,袁鹏程.燃油及电动车病人运送问题建模与算例对比分析.计算机系统应用,2022,31(12):368-374
LUO Ming-Liang,YUAN Peng-Cheng.Modeling and Comparative Analysis of Patient Transportation by Fuel and Electric Vehicles.COMPUTER SYSTEMS APPLICATIONS,2022,31(12):368-374