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常规公交线网的低碳双层优化模型 被引量:2

A Low Carbon Bi-level Optimization Model for Public Transport Network
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摘要 以研究如何有效降低常规公交线网的碳排放量为目标,通过优化调整公交线网中不合理的分布、线路长度、非直线系数、复线系数等指标来实现降低公交线网的碳排放量。在保持常规公交线网一般性能的前提下,从出行人群、公交运营者以及社会环境3方面着手,建立了以线网总时耗、线网总能耗、线网总环境消耗和用户出行平衡为目标的双层优化模型。采用蚁群算法对双层优化模型进行求解,通过合理调整蚁群算法参数,寻找公交线网中的最优线路来实现有效降低公交线网的碳排放量。最后借助算例验证了模型和算法的正确性和有效性。 To study how to effectively reduce carbon emissions in conventional public transport network,the carbon emissions are reduced by optimizing and adjusting the unreasonable distribution of public transport network,route length,non-linear coefficient,and double-track coefficient. On the premise of maintaining the general performance of conventional public transport network,in respect of travelling crowd,bus operator and social environment,the bi-level optimization model for balancing total consumptions of time,energy,and environment of public transport network and users' travel is established. The bi-level optimization model is solved by using ant colony algorithm. The optimal route in public transport network is found out through reasonable adjusting the ant colony algorithm parameters to effectively reduce carbon emissions in public transport network. Finally,the correctness and effectiveness of the proposed model and the algorithm is verified by an example.
作者 杨明 宫熙桢
出处 《公路交通科技》 CAS CSCD 北大核心 2015年第11期143-147,158,共6页 Journal of Highway and Transportation Research and Development
基金 交通运输部联合科技攻关项目(2008353363430)
关键词 交通工程 低碳优化 双层优化模型 常规公交线网 线网总时耗 线网总能耗 线网总环境消耗 蚁群算法 traffic engineering low carbon optimization bi-level optimization model general public transport network total energy consumption of public transport network total environment consumption of transport network ant colony algorithm
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