In order to properly solve the problems of scattered data and difficult information updating in urban road information management, the cluster search scheme is used to improve the management efficiency of road planning. This paper takes the urban disaster prevention as example, and reveals the contradiction between the existing urban form in several cases. To shorten the average waiting time and working distance of stored vehicles, the corresponding mathematical model of cluster search is established by investigating the collected data and extracting the data. Then combining with the actual garage layout and taking the distance of stacker, the average waiting time of customers and the average waiting queue length as the measurement index, the simulation program is compiled with MATLAB, and the effects of different garage layout modes on the overall operation efficiency under a certain storage capacity are analyzed and compared. The results show that cluster search can shorten the running distance by about 50% and the average waiting time and queue length by about 31% and 76% respectively.