Store-and-forward based methods for queue prediction used in the urban bottle-neck intersection

The problem of designing queue length forecast strategies for bottle-neck junction is considered. The saturation flow and predicted flow achieved through urban road network model and traffic flow prediction model respectively are used as input variables to the queue prediction model based on the Store-and-forward methods to compute the queue length occurring during the green time for phase. Then, a simulation test is presented, of which the results read that the precision of prediction can reach up to 84%, certifying the efficiency of the proposed methods.