With the socio-economic development and acceleration of the process of the city,Human reliance more and more on convenience of vehicles, but at the same time,As the rapid growth at vehicle, human is facing traffic congestion,How to effectively reduce the negative impact of traffic congestion is becoming focus in traffic field. Urban Artery as an important part of the city, Transportation network can smooth and safe operation is directly depending on Urban Artery freely flowing. Therefore, Urban Artery as my research object, through analyzing urban traffic signal control,and then study the Urban Arterial Traffic Signal Coordination Control method.Firstly, Aiming at Urban Arterial Traffic Signal Coordination Control theory and methods, I Presents a review its studies at home and abroad, then discussion of urban traffic signal control of the basic theory. Secondly, through the analysis of Traffic Signal Coordination Control model on Urban Artery basing on minimum delay,taking into account the impact of discrete speed of vehicles,vehicle launch delays,and the vehicle through stop line of the time,I correct this model. Thirdly, Use the ant colony algorithm solving the model, at the same time, use genetic algorithm solving the model, comparing with genetic algorithm, we can obviously see that the speed of Ant colony algorithm is superior to genetic algorithm to solve this model. It satisfies the traffic demand in time. Then, using numeric method comparison with this model, I establish of an Urban Artery Traffic system in VISSIM software, I can receive that vehicle delay using this model is smaller than using numeric method. It can prove the effectiveness of this model, I also establish a new Artery Traffic system in VISSIM software, through the result, This model can also received a satisfactory results through Coordination Control. |