In order to study the risk of pipe jacking construction in the sensitive soft soil area to the railway safety in the surrounding city, particle swarm optimization algorithm based on the application of the influence analysis of municipal pipe jacking soft soil area side through the city railway as an example. Firstly, the design scheme and pipe jacking implementation scheme of the urban railway are analyzed, and the influence of pipe jacking construction on the urban railway design scheme is controllable. Secondly, the numerical influence of adjacent railway sections on the railway in the process of road construction is collected to obtain monitoring data, and the particle swarm optimization algorithm is used for back analysis to obtain soft soil “correction parameters”. Finally, the influence of setting reasonable driving parameters and “modified parameters” on pipe jacking is analyzed and evaluated. The research shows that, through the analysis of the influence of road construction on the municipal railway by particle swarm optimization, the influence degree of construction in soft soil area on the municipal railway can be judged, and the reasonable adjustment parameters of soft soil can be obtained. And determine whether the impact of the pipe jacking construction on the railway in the city is controllable. The calculation results show that the method is rigorous and feasible by introducing an intelligent optimization algorithm to correct rock and soil parameters.