| 1. | The forth part analyzes the vehicle delay at signalized intersections
第四部分讨论了车辆在信号交叉口的延误。 |
| 2. | Analysis of vehicle delay of intersections with pre - signals based on bus priority
公交优先的预信号控制交叉口车辆延误分析 |
| 3. | Vehicle delay rate
车辆延滞率 |
| 4. | The presented method can make the expressway unblocked and the average vehicle delay time shortest . 7
7 )对城市间高速公路交通流建模和控制方法进行了探讨。 |
| 5. | Study of vehicle delay calculation and optimal signal - planning method for intersections with induced signal based on bus priority
公交优先信号交叉口延误计算与配时优化方法 |
| 6. | The left turn vehicle delay model is simply studied too . hi the fifth chapter , the delay distribution characters are discussed . delay variance models are obtained
论文的第五部分讨论了延误的特征，给出了延误方差估计模型，并对模型的应用前景作了简单的讨论。 |
| 7. | Vehicle delay at signalized intersections is the important measure of running efficiency and server quality . it reflects not only the drivers discomfort , restrain , oil consume , time lose , but also reflects the logical of signal control and design
信号交叉口延误是评价信号交叉口的运行效率和服务水平的重要度量，它不仅反映了司机不舒适和受阻程度以及油耗和行驶时间损失，还反映了信号控制、设计的合理性。 |
| 8. | Simulation on an isolated four - approach intersection with through and left - turning movements shows that the presented controller can acquire lower average vehicle delay than the fixed - time controller and the hierarchical fuzzy controller with steady membership functions under various traffic conditions
对一个具有直行和左转车流运动的四向交叉路口进行的仿真表明了该方法能比定时控制和隶属度函数固定的分级模糊控制取得更好的控制效果。 |
| 9. | Rough sets is offered to reduce and sum up the rules of the fuzzy controller , which makes the rules scientific and objective . simulated in the matlab , the fuzzy controller based on rough sets can be proved to make the average vehicle delays in a cycle decreasing comparing to the fixed cycle controller especially when the traffic flow is high
第二个控制器为基于粗集理论的模糊控制器，用于确定当前相位的绿灯延时时长，在传统模糊控制器中引入粗集理论后能对模糊控制器中的模糊规则进行简化和归类，模糊规则的确定更为科学，数目更为简化。 |
| 10. | Overtaking . besides , this thesis also presents fuzzy - based multi - phase intelligent signal control strategy according to the deficiencies of present traffic signal control system and the research of fuzzy traffic signal control , this signal control strategy focuses on the single junction signal control problem , though imitating the ways of traffic police managing the traffic , it has the ability of intelligent phase changing and controlling in the light of the real traffic flow , the simulation result shows : in two - and multi - phase conditions , the average vehicle delay is reduced by 15 % and by 27 % compared with the general fuzzy control method
此外，本文还根据目前交通信号控制方法的不足以及现有的运用模糊控制技术进行交通信号控制研究上的欠缺，提出了基于模糊控制的多相位智能拟人信号控制策略，该控制策略以单交叉口的信号控制为研究对象，通过模拟交通指挥者实际进行交通控制的特点，使控制系统能实时根据各相位车辆的多少进行信号的智能控制，仿真结果表明：与普通模糊交通信号控制方法相比，在两相位与多相位的模式中可分别减小平均停车延误平均15和27 。 |
