中文摘要：

为了更精确地反映城市路网交通能耗实际情况,将微观层面的交叉口交通运行与宏观层面的交通网络能源消耗优化结合在一起进行研究,考虑信号控制优化对路网能源消耗的影响,从而实现优化微观的信号控制参数,对宏观的路网能源消耗进行控制。在分析无信号控制交叉口冲突类型的基础上,建立了不同冲突类型下的饱和流率模型,结合排队论理论求解无信号控制交叉口的逗留时间。同时,结合车辆在信号控制交叉口的加减速行为,建立信号控制交叉口的逗留时间模型。同理对信号和无信号控制交叉口的能源消耗量进行建模。综合信号控制和无信号控制交叉口的逗留时间和能源消耗模型,建立路网总能源消耗优化模型,运用Frank-Wolf算法对非线性规划问题进行求解。结合路网各项指标对模型进行分析。结果显示,研究方法相对于传统的定时控制和时间最优信号配时方法均有优势,通过算例应用证明了方法的有效性。

英文摘要：

This paper is inclined to bring about the study results on the effects of the intersection traffic operation on the way to optimize the energy consumption at the macro- and micro-levels comprehen- sively. In order to optimize the micro-signal control parameters that can help to control the macro network energy consumption, we have managed to join the intersection traffic operations and the transporta- tion network together in hoping to save energy consumption to the minimum extent. In doing so, we have studied how to optimize the impact of the road network signal control from the following two as- pects, one of which is on the Non-signal control intersection fuel con- sumption that is related with the vehicles intersection driving. To de- pict the fuel consumption type of the interrupted vehicles in non-signal control intersection, it is necessary to study the vehicle acceleration, the deceleration, the idling and headway, all of which involve the ve- hicle arrival distribution and ceasing rates. Analyzing the conflict types in the non-signal control intersection, we have established a saturation current rate model of all sorts of the conflicts v/a the queu- ing theory to solve the sojourn time in non-signal control intersection. On the other hand, we have also studied the impact of the accelera- tion, deceleration and idling of the vehicles on the interference of the traffic signals. Suppose that each vehicle can reach the intersection of the import channel in line with the uniform distribution, the signal cycle should be taken as the constant the article set in the sojourn time model. And, similarly, it is also necessary to establish an ener- gy consumption model for evaluating the energy consumption in the signal and non-signal control intersections. Thus, it is necessary to signalize the model of the intersection, the non-signalized intersection and the road energy consumption we have framed through the opti- mization model. Furthermore, we have also solved the nonlinear pro- gramming problem by using the Fra