【作者】 郝建根；

【导师】 侯忠生；

【作者基本信息】 北京交通大学 ， 交通信息工程及控制， 2014， 博士

【摘要】 随着机动车保有量的迅速增长,交通拥堵现象越来越司空见惯。如何合理利用现有交通设施,通过提高管理和控制水平,使交通系统充分发挥其能力,提高道路运行效率,成为解决交通问题的有效途径。本文研究了将数据驱动控制方法应用于过饱和单交叉口排队长度均衡控制、干线相关占有率均衡控制、快速路出入口匝道控制等若干问题。论文的主要研究内容和创新点总结如下：第一、基于存储转发建模方法,将迭代学习控制应用于过饱和单交叉口的排队长度均衡控制中,使交叉口各相位的排队长度趋于一致,考虑了交通需求满足严格重复、非严格重复等情况,给出了相应的收敛性分析,并通过PARAMICS仿真验证了有效性。第二、为了减少在线计算量,给出了基于多参数规划的单交叉口均衡控制方法,定义了排队长度均衡的性能指标,离线得到了信号配时控制律的显式表达形式,在线根据排队长度参数向量所在的凸区域便可求得对应的信号配时策略,并通过PARAMICS验证了其有效性。第三、将匝道控制的基本思想应用于过饱和主干线控制中,给出了相关占有率临界同步和临界相关占有率的定义,通过动态调整上下游交叉口的信号配时策略,使各支路的相关占有率趋于均衡,避免产生绿灯时间损失、溢流、死锁等现象,主干线系统输出达到最大,并通过PARAMICS验证了策略的有效性。第四、基于快速路实际运行产生的检测数据,将迭代反馈整定、虚拟参考反馈整定等若干数据驱动控制方法应用于快速路ALINEA控制器参数整定,通过PARAMICS验证了有效性。将自抗扰控制方法应用于快速路入口匝道控制中,通过PARAMICS验证了有效性。针对城市快速路出口匝道车辆无法正常、快速地驶离主路的现象,给出了主路出口匝道与辅路下游交叉口协调控制算法,仿真验证了该策略可提高快速路服务水平。更多还原

【Abstract】 Along with the rapid growth of motor vehicle quantities, traffic jam phenomenon is more and more common. How to reasonably use the existing traffic facilities and improve the level of management and control become an effective way to solve the traffic problems.This dissertation focuses on applications of data-driven control approaches in queuing length balancing control of urban oversaturated isolated intersection, relative occupancy balancing control of arterial and on-ramp&off-ramp control of freeway. The main research contents and key innovations are summarized as follows:1. Based on store-and-forward modeling, apply the queuing length balancing control to isolated intersection using data-driven control methods such as iterative learning control (ILC) when traffic demand satisfies the repetitiveness or non-repetitiveness situation. The convergences of these improved algorithms are proved respectively. The queue of each phase tends to be equal. The effectiveness is verified via PARAMICS platform.2. In order to reduce the on-line amount of calculation, the queuing length balancing control of isolated intersection via multi-parametric programming is given. The definition of performance index of queuing length balancing is proposed and the signal timing is solved off-line. The the signal timing strategy is obtained on-line according to the convex area of queuing length parameter vector. The effectiveness is also verified via PARAMICS platform.3. The definition of critical synchronization and critical relative occupancy is proposed. Based on the basic idea of ramp control, the relative occupancy balancing control of main trunk road is applied to maximize the output of control system and avoid wasted green time, spillover, gridlock via adjusting the signal timing of upstream and downstream intersections. The effectiveness is also verified via PARAMICS platform.4. Based on the detection data of the actual operation of freeway, data-driven control methods such as iterative feedback tuning (IFT), virtual reference feedback tuning (VRFT) are firstly applied to tune the ALINEA controller parameter and also verified via PARAMICS platform. Active disturbance rejection control (ADRC) is applied to freeway ramp metering and the effectiveness is also verified via PARAMICS platform. Vehicles of off-ramp can not travel off the main road rapidly. Coordination control strategy of off-ramp and downstream intersection of side road is designed and also verified via simulations.更多还原