交通信号研究外文文献翻译中英文

交通信号研究外文文献翻译中英文内容摘要：

length of the entire system can be lengthened at peak hours to increase capacity and shortened at other times to decrease delays. Flashing indications can be substituted when normal signal control is not needed. Also the offsets in the timing of successive signals can be adjusted to favor heavy traffic movements, such as inbound in the morning and outbound in the evening. Again, changes in cycle division at particular intersections can be made. The traffic responsive system is an advanced flexible progressive system with the capacity to adjust signal settings to measured traffic volumes. Where traffic on heavyvolume or highspeed arteries must be interrupted for relatively light cross traffic, semitrafficactuated signals are sometimes used. For them, detectors are placed only on the minor street. The signal indication normally is green on the main road and red on the cross street. On actuation, the indications are reversed for an appropriate interval after which they return to the original colors. The quality of urban traffic control systems is determined by the match between the control schema and the actual traffic patterns. If traffic patterns change what they usually do the effectiveness is determined by the way in which the system adapts to these changes. When this ability to adapt bees an integral part of the traffic control unit it can react better to changes in traffic conditions. Adjusting traffic control unit is a costly and timely affair if it involves human attention. The hypothesis is that it might offer additional benefit using selfevaluating and selfadjusting traffic control systems. There is already a market for an urban traffic control system that is able to react if the environment changes the so called adaptive systems. Quot Racquet adaptive systems will need proactive calculated traffic information and cycle plans based on these calculated traffic conditions to be updated frequently. Our research of the usability of agent technology within traffic control can be split into two parts. First there is a theoretical part integrating agent technology and traffic control. The final stage of this research focuses on practical issues like implementation and performance. Here we present the concepts of agent technology applied to dynamic traffic control. Currently we are designing a layered model of an agent based urban traffic control system. We will elaborate on that in the last chapters. These agents have the task of solving conflicts between lower level agents that they cant solve. This represents current traffic control implementations and ideas. One final aspect to be mentioned is the robustness of agent based systems if all munication fails the agent runs on if the agent fails a fixed program can be executed. To be able to keep our first urban traffic control model as simple as possible weave made the following assumptions: we limit ourselves to inner city traffic control road segments intersections corridors we handle only controlled intersections with detectors intensity and speed at all road segments we only handle cars and we use simple rule bases for knowledge represen。