为了降低交通运输系统能源消耗,同时满足居民的出行需求,需综合考虑机动车燃油消耗和道路通行效率.针对此问题,引入交通网络车均燃油消耗和宏观基本图(Macroscopic Fundamental Diagram,MFD),建立了车辆完成率高、车均燃油消耗低的双目...为了降低交通运输系统能源消耗,同时满足居民的出行需求,需综合考虑机动车燃油消耗和道路通行效率.针对此问题,引入交通网络车均燃油消耗和宏观基本图(Macroscopic Fundamental Diagram,MFD),建立了车辆完成率高、车均燃油消耗低的双目标规划模型,并对模型进行求解.依据反馈原理和车流平衡方程提出了燃油消耗比例积分控制(Fuel Consumption-Proportional Integral,FC-PI)控制方法,并通过FC-PI控制方法降低区域内车均燃油消耗,提高路网车辆完成率.最后通过实际城市路网验证所提出的燃油消耗控制模型,并且与Bang-Bang控制方法进行了比较.仿真结果显示,网络内车均燃油消耗显著降低,同时网络内车辆完成率得到提高,且FC-PI控制方法的控制效果要优于Bang-Bang控制方法.展开更多
The objective of this work was to determine the location of emergency material warehouses. For the site selection problem of emergency material warehouses, the triangular fuzzy numbers are respectively demand of the d...The objective of this work was to determine the location of emergency material warehouses. For the site selection problem of emergency material warehouses, the triangular fuzzy numbers are respectively demand of the demand node, the distance between the warehouse and demand node and the cost of the warehouse, a bi-objective programming model was established with minimum total cost of the system and minimum distance between the selected emergency material warehouses and the demand node. Using the theories of fuzzy numbers, the fuzzy programming model was transformed into a determinate bi-objective mixed integer programming model and a heuristic algorithm for this model was designed. Then, the algorithm was proven to be feasible and effective through a numerical example. Analysis results show that the location of emergency material warehouse depends heavily on the values of degree a and weight wl. Accurate information of a certain emergency activity should be collected before making the decision.展开更多
文摘为了降低交通运输系统能源消耗,同时满足居民的出行需求,需综合考虑机动车燃油消耗和道路通行效率.针对此问题,引入交通网络车均燃油消耗和宏观基本图(Macroscopic Fundamental Diagram,MFD),建立了车辆完成率高、车均燃油消耗低的双目标规划模型,并对模型进行求解.依据反馈原理和车流平衡方程提出了燃油消耗比例积分控制(Fuel Consumption-Proportional Integral,FC-PI)控制方法,并通过FC-PI控制方法降低区域内车均燃油消耗,提高路网车辆完成率.最后通过实际城市路网验证所提出的燃油消耗控制模型,并且与Bang-Bang控制方法进行了比较.仿真结果显示,网络内车均燃油消耗显著降低,同时网络内车辆完成率得到提高,且FC-PI控制方法的控制效果要优于Bang-Bang控制方法.
基金Project(71071162)supported by the National Natural Science Foundation of China
文摘The objective of this work was to determine the location of emergency material warehouses. For the site selection problem of emergency material warehouses, the triangular fuzzy numbers are respectively demand of the demand node, the distance between the warehouse and demand node and the cost of the warehouse, a bi-objective programming model was established with minimum total cost of the system and minimum distance between the selected emergency material warehouses and the demand node. Using the theories of fuzzy numbers, the fuzzy programming model was transformed into a determinate bi-objective mixed integer programming model and a heuristic algorithm for this model was designed. Then, the algorithm was proven to be feasible and effective through a numerical example. Analysis results show that the location of emergency material warehouse depends heavily on the values of degree a and weight wl. Accurate information of a certain emergency activity should be collected before making the decision.
