考虑碳排放的多模式公交组合调度优化模型  

Optimal Model of Multi-mode Bus Combination Scheduling Considering Carbon Emissions

作　　者：姚篮 YAO Lan(Hope College of Southwest Jiaotong University,School of Rail Transit,Chengdu 610400,China)

机构地区：[1]西南交通大学希望学院轨道交通学院,成都610400

出　　处：《武汉理工大学学报(交通科学与工程版)》2025年第2期271-277,共7页Journal of Wuhan University of Technology(Transportation Science & Engineering)

基　　金：重庆自然科学基金创新发展联合基金(CSTB2022NSCQ-LZX0040);重庆交通大学-重庆市交通规划研究院交通运输工程研究生联合培养基地(JDLHPYJD2018004)。

摘　　要：构建上层以公交公司运营成本最小、公交车CO_(2)减排率最高为目标,下层以乘客出行成本最低为目标的多目标双层规化模型,并将车辆满载率、发车频率和大站快车停靠站点数量作为约束条件,并使用非支配排序遗传算法(NSGA-Ⅱ)进行求解.将所建模型应用于重庆市320路公交线路进行实例分析,结果表明:采用组合调度模式以后,与现有调度模式相比,乘客的出行成本降低12.65%公交公司的运营成本下降了7.89%,碳减排率为15.75%.此结果证明了该模型在减少碳排放、降低公交公司运营成本和解决公交客流不均并减少乘客出行成本方面的有效性。A multi-objective bilevel programming model was constructed.The upper level aimed at the lowest operating cost of bus companies and the highest CO_(2) emission reduction rate of buses,while the lower level aimed at the lowest passenger travel cost.Taking the full load rate of vehicles,the fre-quency of departure and the number of stops of big stations and express trains as constraints,the non-dominated sorting genetic algorithm(NSGA-II)was used to solve the problem.The model was ap-plied to the case study of 320 bus lines in Chongqing.The results show that compared with the existing dispatching mode,the passenger travel cost is reduced by 12.65%,the operating cost of bus com-panies is reduced by 7.89%,and the carbon emission reduction rate is 15.75%.This result proves that the model is effective in reducing carbon emissions,reducing the operating costs of bus compa-nies,solving the uneven passenger flow and reducing passenger travel costs.

关 键 词：公共交通 碳排放 组合调度 全程车 大站快车 

分 类 号：U491[交通运输工程—交通运输规划与管理]