| With the development of economy in recent years,the number of motor vehicles is increasing in China,however,urban traffic congestion and environmental pollution are becoming more and more serious.As the traffic node,urban intersections have many intertwined points,and traffic facilities are concentrated.Because vehicle runs at low speed when passing through the intersection,the vehicle exhaust emissions continue to increase,further leading to urban environmental pollution.At the same time,in the southern cities of China,there are many bridges with long service life and as the channel to cross the river.With the expansion of the city scale,the intersections at both ends of the bridge have become a bottleneck for traffic and safety.Its capacity and carrying capacity has been unable to meet the practical requirements.Therefore,it is of great significance to research how to reduce the vehicle emission and queue length by optimizing the signal control in the case of the small scale transformation of the bridge intersection.Based on the theoretical research on the signal control theory of the existing urban intersection,this paper defines the concept of bridge intersection.Select the average queue length and CO emission of the vehicle at the intersection of the bridge as a basis for the comprehensive evaluation of the efficiency of the intersection and the timing of the bridge intersection signal.Transform it into a dimensionless single objective function,adding intersection period,green time and saturation as constraints,the single point signal optimization control model and the bridge coalition signal coordination control model at the intersection of the bridge,which consider emission,are established in the peak period and the peak time respectively.By using the improved genetic algorithm and the optimization model,the solving steps are designed.On the basis of field investigation of traffic,this paper select the intersection of YuRong Bridge in Fuqing City,Fujian Province as the research object,then construct the target model and solve.The effective green time and cycle under 4 models are obtained respectively.The average queue length Abstract and the CO emission of the bridge under the four schemes are obtained by the constructed signal timing model.Then use the simulation software Synchro to compare the effects of emissions before and after optimization of the effect of optimization.The results show that considering the discharge of the bridge at both ends of the signal coordination control program to reduce the effect of the most obvious,regardless of peak or peak time.Considering the situation that the phase sequence of the current situation is not set properly,use Synchro software to re-design the reasonable phase sequence of bridge intersection.And then use the bridge intersection signal timing optimization model,considering the discharge,which is proposed in the second chapter to optimize signal timing.Using the data obtained from the simulation,the carbon emissions of three different control modes,which are no signal control,single intersection signal control and signal coordination control,are compared.The results show that the coordinated control of the signals at both ends of the bridge is the best signal control scheme,and CO emissions decreased by 18.4%compared with no signal control in the peak period.The average queue length decreased by 27.7%.The delay decreased by 39.8%. |