中文摘要：

为了缓解宏观交通网络拥堵区的拥堵状况并降低机动车燃油消耗，首先依据路网状态划分的宏观基本图控制子区，建立了拥堵区边界车流平衡方程．其次将路网分为交叉口和路段两类，根据宏观基本图参数建立了网络能耗估计模型．再次以宏观路网出行车辆完成率最高同时能耗最低建立了能耗节约拥堵区边界双目标优化控制模型．最后以实际城市道路网络为测试对象，通过比较无区域边界控制、拥堵区入口Bang—Bang边界控制和本文提出的双目标优化控制方案，仿真结果表明：1）在高峰时段，双目标优化控制方法路网疏散能力比无区域边界控制、Bang—Bang控制分别提高20．14％、2．1％，同时机动车燃油消耗分别降低43．14％、24．48％；2）本文提出的双目标优化控制方法可有效改善拥堵区内外交通密度的均衡性；3）宏观路网拥堵区的边界控制可有效降低高峰期间拥堵区的拥塞程度，提高整个路网的疏散能力．

英文摘要：

In order to ease the congestion of macro traffic network and reduce the fuel consumption of vehicles, the equilibrium equations of the traffic flow in the congested area are established based on sub- regions classified by macroscopic fundamental diagram （MFD） according to different network state. Then the road network is divided into two categories, such as intersection and road section and a network energy consumption estimation model is established according to the parameter of MFD. Dual objective optimal control model of the congestion area boundary is built up with the goal of lowest energy consumption and the highest travel completion rate of vehicles in macro network. Finally, the actual city road network is used as the test object. By comparing the control scheme of the no boundary control, Bang-Bang entrance boundary control and dual objective optimal control scheme, the following conclusions are got： 1） At the peak time, the network evacuation capability under the dual objective optimal control is improved by 20.14% and 2.1% compared with the no boundary control and Bang-Bang entrance boundary control at the same time, vehicle fuel consumption decreased by 43.14% and 24.48% respectively. 2） Dual objective optimal control method can effectively improve the traffic density equilibrium inside and outside the con- gested area. 3） The boundary control of the congested area in macro network can effectively reduce the congestion level during rush hour and improve the evacuation ability of the whole network.