张侃侃单片机控制交通灯参考文献

FUZZY LOGIC TRAFFIC SIGNAL

CONTROL

ZEESHAN RAZA ABDY PREPARED FOR DR NEDAL T. RATROUT

INTRODUCTION

Signal control is a necessary measure to maintain the quality and safety of traffic circulation. Further development of present signal control has great potential to reduce travel times, vehicle and accident costs, and vehicle emissions. The development of detection and computer technology has changed traffic signal control from fixed-time open-loop regulation to adaptive feedback control. Present adaptive control methods, like the British MOVA, Swedish SOS (isolated signals) and British SCOOT (area-wide control), use mathematical optimization and simulation techniques to adjust the signal timing to the observed fluctuations of traffic flow in real time. The optimization is done by changing the green time and cycle lengths of the signals. In area-wide control the offsets between intersections are also changed. Several methods have been developed for determining the optimal cycle length and the minimum delay at an intersection but, based on uncertainty and rigid nature of traffic signal control, the global optimum is not possible to find out.

As a result of growing public awareness of the environmental impact of road traffic many authorities are now pursuing policies to:

manage demand and congestion; influence mode and route choice;

improve priority for buses, trams and other public service vehicles;

provide better and safer facilities for pedestrians, cyclists and other vulnerable road users;

reduce vehicle emissions, noise and visual intrusion; and improve safety for all road user groups.

In adaptive traffic signal control the increase in flexibility increases the number of