The traffic capacity model M/G/1 simulated by the Monte Carlo algorithm

This paper presents a queuing theory M/G/1 model to describe the traffic flow at urban roads. Considering the lanes occupation rate, the input of the vehicle from previous road section and other influence factors, Based on the actual statistical data, Monte Carlo algorithm is used to simulate the traffic flow model M/G/1, to optimize the parameters. Compared with the actual data, the simulated results demonstrate that the proposed model can estimate the influence of carriageways occupation on urban traffic capacity accurately.