无车承运人运力资源组织优化研究  

Study on Optimal Organization of Transport Resources for No-car Operating Carrier

作　　者：常连玉[1,2] 陈海燕[2] 

机构地区：[1]长安大学汽车学院,陕西西安710064 [2]交通运输部管理干部学院,北京065201

出　　处：《公路交通科技》2016年第10期152-158,共7页Journal of Highway and Transportation Research and Development

基　　金：国家自然科学基金项目(51278057);国家社会科学基金项目(09XJY004);中央高校基本科研业务费专项资金项目(310823160314)

摘　　要：为了对无车承运人承运的运力资源进行优化,降低运营成本,建立了带有机会约束条件的无车承运人运力资源组织优化模型。该模型针对无车承运人运营过程中要充分考虑不同主体利益、运力资源分散异质、运价形成以及利益分配模式等特点,旨在实现多重约束下的无车承运人效益最大,运输企业盈利处于合理区间,对运力资源、货源和运输线路进行了匹配优化。在此基础上,设计了针对该模型的微粒子群和神经网络混合智能算法对模型进行求解,并通过算例对其进行了验证。结果表明:该模型及其算法具有有效性和实用性,能为无车承运人管理者提供决策依据。To optimize the transport resources of no-car operating carrier and reduce operational costs,the optimal organization model of transport resources for no-car operating carrier with chance constraints is established. The model aims to get maximum benefits of no-car operating carrier with multiple constraints,to make transport enterprise＇ benefits be in reasonable range,to match and optimize resources,goods and transport routes based on consideration of the characteristics of different subjects＇ benefits,heterogeneity and dispensability of transport resources,formation of transport price and mode of benefit distribution. On this basis,the hybrid intelligent algorithm with particle swarm algorithm and neural network algorithm is designed to solve the model,which is verified by a numerical example. The calculating result shows that the model and its solving algorithm has effectiveness and practicability,and can provide a decision-making basis for no-car operating carrier＇s manager.

关 键 词：运输经济 运力资源组织优化 微粒子群算法 无车承运人 机会约束 

分 类 号：U491[交通运输工程—交通运输规划与管理]