| The development of society and the advancement of technology promote the automotive industry to flourish,but the problems of traffic and road congestion are also increasing.As the main artery of urban traffic system,the artery road plays an indispensable role in the urban transportation system and also bears great traffic pressure.Green wave has become one of the important methods of coordinated control of urban artery traffic signals due to its obvious control effect,easy realization and low cost.Studying the green wave control methods will be beneficial to improve the overall traffic capacity of the road system and reduce the artery traffic load of the urban arteries.Most green wave control methods didn’t take into account the secondary road traffic demand at the intersection and the green time for pedestrian.So,a method for calculating intersection signal cycle and green time allocation based on the concept of non-coordinated phase saturation is proposed,and correct the phase green time and signal cycle of each intersection based on the shortest pedestrian crossing time.On this basis,the shortcomings of the traditional green wave are analyzed,the MAXBAND model is optimized by using the idea of the artery segmentation,and propose a genetic algorithm based on real number coding for offset optimization.Finally,taking Xinsha Road in Shenzhen as an example to compare and analyze the results of two scheme.The results show that the two schemes can achieve the same common bandwidth,but when the traditional scheme and the improved scheme acquire the same common green wave,the average bandwidth of the sub-green wave formed by the combination of intersections in the improved scheme is better than that of the traditional scheme.When the two schemes are simulated using VISSIM,the simulation results show that the vehicle delay and travel time of the proposed scheme are less than that of the traditional green wave,which proves the effectiveness of the scheme proposed in this paper. |
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